AI and Personalization in Healthcare
In this episode of The Brainiac Blueprint, Kyle sits down with Oghosa Evbuomwan, Head of Marketing at Agilix Health, to explore how artificial intelligence and personalization are reshaping care beyond the hospital walls.
At Agilix Health, a Massachusetts-based digital health company, the team focuses on whole-person nutrition programs for people living with chronic conditions and during pregnancy – connecting clinical treatment with the everyday choices that happen at home.
From predictive analytics to remote patient monitoring and culturally sensitive nutrition guidance, Agilix is helping providers bring continuous, personalized care directly to patients’ lives.
From the Clinic to the Kitchen: Rethinking Where Health Happens
Originally from Nigeria and trained as a primary care physician for over seven years, Oghosa’s career bridges medicine, public health, and marketing. Today, he leads Agilix’s marketing strategy – translating complex health programs into accessible, patient-centered experiences.
“We provide whole-person nutrition care to people living with chronic conditions and during pregnancy,” he explained. “When they’re outside the hospital setting – where health actually happens, at home – we help ensure that their nutrition is optimized, so the treatment they get in the hospital yields the most benefit afterward.”
It’s a holistic approach that recognizes something simple but powerful: healing doesn’t stop at discharge.
How Oghosa Defines AI – and Why Ethics Matter Most
When asked to define AI, Oghosa didn’t hesitate:
“I think AI is a powerful tool that’s very much dependent on the data that’s fed into it and the intent it’s designed to achieve.”
To him, the distinction between what AI can do and what it should do is critical. He’s seen firsthand how quickly trust can erode when systems aren’t transparent.
He recalled an interaction with Grok 3, where the model falsely claimed its own text wasn’t AI-generated:
“It said, ‘No, it wasn’t AI-generated. It was crafted by me.’ That gave some insight into what ethical AI should look like – or rather, how ethical systems need to be built into AI.”
Especially in healthcare – one of the most regulated and high-stakes industries – he believes accountability and human oversight must be built into every AI system from day one.
Closing the Preventive Care Gap
Outside of him role at Agilix, Oghosa also speaks at healthcare summits and community panels. Recently, he joined an event at Webster University focused on preventive medicine in the African diaspora – helping attendees understand how to navigate public health systems, interpret symptoms, and challenge cultural biases around care.
“We came together to address some of the biases people have – about their health-seeking behavior or how they interpret certain symptoms,” he said.
It’s part of a larger mission: making preventive care culturally relevant, accessible, and proactive.
What Advanced Primary Care Really Means
For Oghosa, “advanced primary care” isn’t just a buzzword – it’s a structural shift.
“It goes beyond just the episodic visits people make to their providers,” he explained. “It integrates a longitudinal piece – remote patient monitoring, automated scheduling, and predictive analytics.”
Whether through wearables like smartwatches or continuous glucose monitors, patients and providers can now track progress between appointments.
Still, he says adoption depends on one crucial factor: communication.
“Digital literacy and health literacy are huge factors when it comes to adopting these technologies,” he said. “How well a provider convinces a patient to use these tools goes a long way in determining how successful the program is.”
Personalization Needs People, Not Just Algorithms
At Agilix, personalization isn’t limited to data points – it includes culture, language, and lived experience.
“Part of our campaigns now involve translating content so people understand our message in their local dialect,” Oghosa said. “When we put a registered dietitian in the home of our patients – or members – we make sure the language and recommendations are culturally sensitive.”
That means ensuring a patient’s meal plan fits both their clinical needs and their cultural traditions.
And while AI plays a growing role in healthcare, Oghosa is firm on one principle:
“If you remove the human in the loop, it just becomes like everything else. Healthcare deals directly with lives. You always need a human element to vet whatever the AI produces.”
Building Digital Literacy Inside Medicine
A consistent theme in Oghosa’s work is education – both for patients and for healthcare professionals.
He’s been vocal about the digital literacy gap in medical training.
“Back in 2022, we published a paper and found that the majority of medical trainees are not digitally literate,” he said. “We’ve been advocating to embed ICT training into CME courses so providers become more digitally savvy.”
To him, modern medicine requires fluency not just in diagnostics and treatment – but in the technologies that enable them.
He practices what he preaches, mentoring interns on AI and marketing fundamentals while taking the same courses himself to stay ahead.
Evaluating AI with a Critical Eye
When deciding which tools or research to trust, Oghosa applies a simple but powerful filter: Who’s behind it?
“When I read papers or explore new technologies, I ask: Who are the authors? What are their affiliations? Who funded the research or product?”
Understanding motive, he says, is just as important as understanding methodology. It’s how he separates credible innovation from overhyped promises.
The Future of Care: Predictive, Preventive, and Personal
Looking ahead, Oghosa envisions a healthcare system built on continuous prediction rather than reaction.
“The current system is very old-fashioned and general,” he said. “In the future, we’ll see hyper-personalization of care – relying on predictive analytics, remote monitoring, and prevention rather than treatment.”
In that world, he says, doctors may have a digital twin – a data-driven assistant tuned to each patient’s unique physiology.
And payers are already catching up.
“Most preventive measures are covered by insurance companies,” he noted. “They’re incentivized to keep you out of the hospital. If these technologies show measurable value, insurance will cover them.”
That’s value-based care in action – and it’s accelerating.
His Moonshot Vision: Health Forecasting Like Weather
When asked about his dream AI project, Oghosa didn’t hesitate:
“Something around predictive analytics. Right now we have weather forecasts that can tell us tomorrow’s temperature – but we don’t have that for healthcare.”
He imagines a future where health forecasting is as normal as checking the weather app – predicting risks, relapses, or health milestones days or months in advance.
Beyond the Word ‘Patient’: Rethinking Identity in Healthcare
In one of his most striking points, Oghosa suggested retiring a word central to medicine: patient.
“Because at the end of the day, they’re people – users, members,” he said. “If you say ‘patient,’ it can sound diminishing. It might even be triggering for some.”
Instead, he encourages providers to use identity-first language – saying “people with diabetes” instead of “diabetic,” or “people with hypertension” instead of “hypertensive.”
It’s a small linguistic shift that reflects a larger truth: words shape care.
Preventive Health: The Most Underrated Discipline
As the conversation wrapped, Oghosa emphasized what she believes is healthcare’s most overlooked frontier – preventive medicine.
“People need to know they don’t have to have symptoms before going to the clinic,” he said. “The more intentional we are about our health, the more we prevent the catastrophes that come with delay.”
He also noted that immigrant populations are often slower to seek care – not just for financial reasons, but cultural ones.
“There’s sometimes a spiritual connotation to health issues. We need to see science for what it is and health for what it is.”
Global Perspective, Local Impact
Despite his U.S. base, Oghosa remains deeply connected to his home country.
“I’m still in touch with my family and friends – especially those in health tech,” he said. “We have a Digital Health Nigeria WhatsApp group where people are constantly building and collaborating across Africa.”
It’s a community that mirrors his philosophy: healthcare innovation should be both global and personal.
🎧 Listen to the full conversation on Spotify, Apple Connect, or YouTube
📖 Read the full transcript on Left Brain AI
How AI Helps Heal Healthcare Burnout
In this episode of The Brainiac Blueprint, Kyle sits down with Naveen Koneru, Head of Partnerships at Healing Breaths, to explore how artificial intelligence is helping healthcare professionals fight burnout, reclaim balance, and scale well-being programs without losing the human touch.
Healing Breaths, an initiative within The Art of Living Foundation, has supported 15,000+ healthcare providers across 50+ institutions, including Harvard, Penn Medicine, and NYU Langone. Accredited and evidence-based, its programs are redefining what it means to take care of those who take care of others.
Healing Breaths: Supporting Those Who Heal Others
The story of Healing Breaths began eight years ago, when the foundation’s founder, Gurudev Sri Sri Ravi Shankar, asked a simple question:
“We’re serving so many parts of society – but are we doing anything for our physicians and nurses?”
That moment sparked a movement. Today, Healing Breaths offers accredited programs that help healthcare professionals move from burnout to balance, and eventually to becoming ambassadors of well-being for their peers.
“We believe well-being is a journey, not just a program,” Naveen explained. “Healing Breaths is intentionally designed to support healthcare professionals at every stage of that journey.”
By blending ancient breathing techniques with modern behavioral science, the organization gives physicians, nurses, and hospital teams the tools to recharge mentally and emotionally – something many have never been formally taught to do.
Redefining Burnout with Data, Empathy, and AI
When asked to define AI, Naveen’s response was both philosophical and practical:
“I think AI is the most potent and most adaptive assistant for humankind.”
To him, AI isn’t about replacement – it’s about relief. He uses it daily to speed up research, personalize outreach, and uncover patterns that help Healing Breaths reach more institutions.
From mapping hospital leadership structures to analyzing partnership opportunities, Naveen treats AI as a collaborative partner – one that helps him think faster and focus on what matters most: building human relationships.
“This used to take me 30 minutes – sometimes longer,” he said. “Now it’s instant.”
For an organization that operates with a small, mission-driven team, those time savings directly translate into more meaningful conversations with healthcare leaders and staff.
How AI Powers Outreach and Connection
Behind the scenes, Naveen and his team have built a lightweight but sophisticated tech stack. Tools like Apollo, HubSpot, and ChatGPT help streamline research and outreach, while platforms such as GoHighLevel, Twilio, and OpenPhone support automated texting and follow-ups.
What makes their approach unique is how they use these automations – not to flood inboxes, but to cut through the noise with genuine, relevant messages.
“We’re experimenting with ways to create authentic, transparent exchanges,” Naveen said. “Users know they’re talking to an agent, but can easily connect with a human who continues the conversation.”
By integrating AI with text-based communication, Healing Breaths meets healthcare professionals where they already are – on their phones, between shifts, with just seconds to spare.
Hyper-Personalization: From Conversations to Custom Proposals
Naveen believes personalization is the future of meaningful engagement – especially in healthcare, where every second counts.
He envisions a system where an AI assistant can listen to a conversation at a wellness event, capture key details, and follow up with personalized messages that reference that exact moment.
He’s already experimenting with tools like TL;DV to transcribe and summarize meetings, and with Qwilr to embed those insights directly into customized proposals.
“A remarkable use of AI could be taking meeting transcripts, identifying one or two key metrics, and embedding those into proposals,” he explained. “That level of personalization could be a game-changer.”
It’s a vision of AI not as a marketing gimmick, but as a way to make outreach feel human again.
Scaling Impact Through Storytelling and Word of Mouth
Despite the automation, Naveen says the organization’s true growth came from something timeless: stories.
“The greatest scaling actually happened when healthcare professionals heard stories of other providers going through the same experiences,” he said. “They were inspired and said, ‘If they can find peace through breathing, maybe I can too.’”
That peer-to-peer inspiration – a cardiologist sharing her transformation with another physician, or a nurse introducing the program to a colleague – became Healing Breaths’ most powerful growth engine.
“Conversation catches inspiration,” Naveen said simply.
Real Results: The Cardiologist Who Stopped Getting ‘Breathe’ Alerts
One of Naveen’s favorite stories comes from a respected cardiologist at Penn Medicine. During the height of the pandemic, her Apple Watch began alerting her to “breathe” up to five times a day – a clear signal of stress.
After joining Healing Breaths, those alerts dropped to one per day within a week – and soon, disappeared entirely.
Within a year, she became a certified facilitator herself, bringing the program to hundreds of colleagues. She later completed Stanford’s Chief Wellness Officer training and is now co-leading a Harvard–Penn Medicine randomized controlled trial studying Healing Breaths’ impact on physician well-being using wearable HRV data.
It’s one story – but for Naveen, it captures the mission perfectly: measurable science and human transformation working hand in hand.
Efficiency, Scalability, and the Human Metric
Even as AI enables Healing Breaths to scale, Naveen measures success through distinctly human outcomes.
“If I can reach a point where 30% of my time is spent doing follow-ups – and 70% in real human conversations – that’s ideal,” he said.
Efficiency, in his eyes, isn’t just speed – it’s time reclaimed for empathy. The team tracks three core metrics: how many institutions they reach, how many individuals engage, and how much time is freed up for authentic dialogue.
The lesson for other organizations is clear: automation matters most when it gives humans back the bandwidth to care.
The Future of Preventive AI in Healthcare
Looking ahead, Naveen envisions AI helping healthcare systems move from treating disease to teaching well-being.
“If we play it right, we could create a world where providers are examples of their own well-being,” he said. “Imagine seeing a doctor not because you’re sick, but to learn how to thrive.”
That’s where AI’s potential lies – not in replacing human care, but in empowering the people who deliver it.
Closing Thoughts: Human Empowerment, Not Replacement
When asked what AI tool he’d invent if he could, Naveen said:
“Maybe something that could self-integrate with all the other AI solutions I use, A/B test different combinations, and report back multiple times a day on how they’re performing.”
But his real takeaway goes deeper: AI’s purpose is to serve humanity – not the other way around.
Even as he experiments with robotics and automation, Naveen remains grounded in the simple truth that inspired Healing Breaths in the first place: sometimes, the most powerful healing still happens in silence, through a breath.
“We should prevent ourselves from being anything less than thriving,” he said.
🎧 Listen to the full conversation on Spotify, Apple Podcasts, or YouTube
📖 Read the full transcript on Left Brain AI
How AI Is Transforming Video Advertising – and Leveling the Playing Field
In this episode of The Brainiac Blueprint, Kyle sits down with Scott Salik, Founder and Executive Producer at Carpe Canum, to explore how AI is reshaping modern video advertising – from how ads are made to who can afford to make them.
With a career that spans Anchorman, Team America, and Beachbody’s early streaming era, Scott brings a rare perspective. He’s seen the shift from big-budget broadcast to agile, data-driven creative – and now, he’s using AI to make high-quality production accessible to everyone.
From Hollywood to Streaming: When TV Advertising Became Anyone’s Game
For decades, TV advertising was dominated by a few hundred brands with the budgets to own prime-time space. But the rise of streaming and connected TV changed that. Scott recognized early that technology could level the playing field for smaller businesses.
commercials at a fraction of traditional costs. Through a partnership with TV Scientific, his team creates “low-cost, not low-quality” spots – and helps brands deliver them to the right households with measurable results.
“Originally, 500 companies did something like 80% of the TV advertising in this country,” Scott said. “Now, any small business has that same superpower of television to grow their business.”
By combining production expertise with digital precision, Carpe Canum helps businesses bridge the gap between brand storytelling and performance marketing.
Personalization at Scale: High Volume Personalization (HVP)
Personalization has always been the key to performance – but scaling it for video has been costly and time-consuming. That’s where Scott’s team stepped in.
Their AI-powered system, High Volume Personalization (HVP), generates hundreds of ad variations automatically – adjusting creative elements like locations, voiceovers, or offers without sacrificing quality.
“We can take a commercial and modify it for each audience segment – whether it’s ten versions or 800 versions,” Scott said. “It used to take a week of editing. Now we can do it in 24 hours.”
When Carpe Canum produced 240+ localized ads for a casino app across 40 states, each version included state-specific disclaimers and offers. Within weeks, the data showed which creative performed best – allowing the client to double down on top performers.
“It’s another one of those things that allows a small business to have the same power as a major brand,” Scott added.
By merging automation with human review, HVP brings the speed and testing agility of paid media to high-quality video production.
Rethinking Focus Groups with AI
Before launching campaigns, big brands often rely on costly focus groups to predict audience response. Now, Scott’s team is testing a smarter, faster approach – AI-powered synthetic focus groups that replicate real-world feedback.
These AI “participants” are built on thousands of real human surveys and can even be interviewed to explain their reactions. The results are remarkably close to traditional testing – but available in hours instead of weeks.
“They did thousands of paper surveys with real participants to build the generative AI database,” Scott explained. “Now we can chat with synthetic participants and ask why they responded a certain way. It’s incredible for creative feedback.”
For smaller advertisers, it’s a breakthrough – offering research-level insights at startup-level costs.
The Human Layer Still Wins
As AI tools flood the market, Scott keeps a grounded perspective: automation works best when guided by people who understand storytelling.
“We always add that polish layer,” he said. “Most templated AI commercials have a pretty low success rate compared to the ones with human oversight.”
Carpe Canum uses AI to accelerate production and simplify repetitive edits – but never to replace creative direction. “We’re not rushing to do AI for AI’s sake,” Scott said. “We use it when it helps us make better work.”
It’s an approach that keeps authenticity intact while unlocking scale – something too many “AI-only” platforms miss.
What’s Next for Video Advertising
Scott believes the next frontier in video is data-driven personalization at scale – campaigns that adapt to what audiences are actually doing online.
“You’ll be able to look at your web data and build a commercial for the exact products people viewed that week,” he said. “That’s where the future is heading – being there with the right message at the right moment.”
He also hopes to see creators use AI responsibly – as a tool for amplification, not dependency. “Foster their talent,” he added. “Help them understand why we do things – so they can make better work in the future.”
For Scott, that’s the real goal: technology that expands creativity rather than replaces it.
Final Takeaway
Scott Salik’s journey – from movie sets to machine learning – shows how technology can amplify, not erode, the art of storytelling.
His message to marketers is clear:
AI doesn’t replace creativity – it democratizes it.
By combining automation, data, and human craftsmanship, Carpe Canum is proving that small and mid-sized brands can now produce video that performs like a national campaign.
🎧 Listen to the full conversation on Spotify, Apple Podcasts, or YouTube.
📖 Or read the full transcript at Left Brain AI.
Scaling Compassion: How a Tech Sales Pro Helped Transform Alzheimer’s Care
In an industry where burnout and bureaucracy often slow progress, Sam Markovich, Head of Sales and Marketing at Millennium Memory Care, has managed to do the opposite. In just over a year, he helped grow occupancy across six New Jersey facilities from 62% to 96%.
His story isn’t just about marketing – it’s about rethinking how empathy and innovation can coexist inside one of healthcare’s most demanding sectors.
From Tech Sales to Healthcare
When Sam left a tech sales career to join the company his mother founded, he traded cold calls for crisis calls. Families reaching out to Millennium are rarely browsing – they’re desperate for immediate help.
Drawing on his background in sales and operations, Sam built structure around empathy. He treated every inquiry like a solution-oriented conversation rather than a transaction.
“Sales is all about talking to people, figuring out their problems and providing the solutions,” he said. That perspective helped him translate the logic of B2B growth into a business built on human care.
Standing Apart Through Guarantees and Clarity
Many assisted-living facilities struggle with consistency – shifting prices, narrow eligibility, and unpredictable policies. Millennium takes a different approach.
Its model is built on two guarantees: they will never hospitalize residents for behavioral issues, and they will accept patients regardless of behavioral severity. These policies have turned the company into a trusted partner for hospitals and families navigating Alzheimer’s and dementia care.
Sam also simplified pricing. Instead of multiple “levels of care,” Millennium offers one transparent, all-inclusive rate. The approach reduces confusion and signals integrity in an industry often clouded by complexity.
Growth Through Relationships, Not Ads
When asked how he achieved near-full occupancy without a large marketing budget, Sam pointed to one word: relationships.
Much of Millennium’s growth comes from hospital referrals and social worker partnerships. But those relationships are fragile – COVID restrictions and constant staff turnover make outreach difficult.
“Social workers are some of the busiest people I’ve ever seen in my life,” he said. “It’s hard to reach someone that’s constantly not at their desk.”
Instead of pushing sales pitches, Sam focuses on being a reliable resource. By offering help rather than persuasion, Millennium became a go-to option for time-strapped hospital teams managing patient discharges.
Combating Stigma and Misinformation
Memory care is often misunderstood, and many families approach it with guilt, fear, or misinformation. Sam sees education as part of his job.
“There is a lot of misinformation and a lot of stigma associated with memory care,” he said. Millennium combats that by being transparent about what families can expect and by guiding them to the best fit – even if that means recommending another facility.
This honesty has turned marketing into mission alignment. When the message centers on helping families, not capturing customers, trust becomes the natural outcome.
Marketing to an Offline Demographic
Reaching older audiences online is one of the toughest marketing challenges in healthcare. Despite strong SEO rankings, Millennium’s website visitors often don’t convert into leads.
Sam experimented with AI chatbots and streaming ads, but not every innovation paid off. “We’ve actually gotten less results, less leads since we implemented this chatbot because we removed the contact form,” he said.
The experience reinforced a simple truth: technology can’t replace accessibility. Millennium now pairs digital visibility with in-person engagement through community events, senior-center presentations, and direct hospital outreach.
Expanding With Purpose
Millennium has begun preparing for its next chapter – expanding beyond New Jersey. The first new facility will open in Florida, where the company recently purchased land. The move aligns with the state’s large senior population and the lack of comparable behavioral-focused care options.
Still, quality control remains the top priority. “We provide a very unique service that not everybody can do,” Sam said. “It’s very hard for us to maintain that quality and those standards when we manage everything privately.”
To stay grounded, Sam is pursuing his Certified Medication Aid certification and plans to work occasional shifts inside Millennium’s facilities. The goal: experience the day-to-day realities of caregivers firsthand to ensure that marketing aligns with reality.
The Future of Care: Where AI Meets Empathy
Sam believes AI can help advance – not replace – human care. He’s exploring both marketing automation and AI companions designed for dementia patients.
“The combination of AI and healthcare is definitely growing,” he said. “I want to include as much AI as possible into the Millennium business, not only from a sales and marketing side, but also from a care perspective.”
By pairing intelligent tools with an empathetic model, Millennium is defining what modern healthcare growth can look like: scalable, sustainable, and deeply human.
Takeaway
Sam Markovich’s journey from software sales to specialized healthcare shows that growth doesn’t have to come at the cost of compassion. His results are proof that transparency, education, and innovation can coexist when guided by empathy.
As he put it simply, “We’re kind of like a small business that’s looking to solve a huge problem.”
🎧 Listen to the full conversation on The Brainiac Blueprint Podcast by Left Brain AI
→ Spotify | Apple Podcasts | YouTube
For the complete transcript, visit Left Brain AI.
How AI Can Heal Healthcare Without Replacing Humanity
Artificial intelligence is reshaping healthcare – but not always in ways that inspire confidence. Many fear a future where human touch gives way to automation. For Emily Olson, Head of Clinical Operations at Braided Health, that fear misses the point.
Her mission is to build systems where technology makes care more human, not less. At Braided Health, she leads teams that combine clinical expertise with AI-powered insights to create what she calls a “triple win” – better outcomes for patients, providers, and the organizations that support them.
Rethinking Healthcare’s Foundation
Before diving into the role of AI, Emily started by defining Braided Health’s philosophy. The company calls itself a “tech-enabled services” provider – but its true differentiator lies in how people and technology are integrated.
“It’s easy to focus on one side – the patient, the provider, or the system,” she explained. “But when things are unidirectional, they look good on paper and then fail in practice. You hit a wall when the team can’t use the technology or the patients aren’t getting what they need.”
For Emily, meaningful progress comes from designing systems that benefit everyone involved – not just the balance sheet. “It’s a long-term play,” she said. “But it’s the only one that’s sustainable.”
AI as a Tool for Repair, Not Replacement
When asked to complete the sentence “I think AI is…,” Emily framed her answer around accountability.
“AI is going to be an essential part of making amends for some of the wrongs that have been occurring in our health system for a long time,” she said.
Her position is both pragmatic and humanistic. AI should accelerate the work people already do well – not erase their role entirely. “It’s a key ingredient,” she said, “but it’s not the whole recipe.”
That philosophy has become central to Braided Health’s design principles: intelligent systems that remove friction while preserving empathy.
Bridging the Gap Between Care and Capital
Healthcare innovation often collapses under the weight of competing priorities. Clinical teams think in outcomes; financial teams think in budgets. Emily’s role often involves bridging that gap.
She describes herself as a “professional translator” – someone who can turn a clinician’s logic into language that resonates with a CFO. Her strategy is simple but powerful: focus on shared incentives.
“Instead of trying to convince someone about the things I care about as a clinician,” she explained, “I think about what they already care about and where our goals overlap.”
It’s a method she borrowed from motivational interviewing in psychiatry – meeting people where they are, not where you want them to be. The result is care models that are clinically sound, financially viable, and aligned across stakeholders.
The Human Side of Change
Adopting new models of care means asking people to rethink habits and, at times, their professional identity. Emily has seen firsthand how that emotional resistance can slow transformation.
“When we say what’s happening isn’t working, it also means asking people to look at their own place in it,” she said. “Even when they agree, it requires inward reflection and the willingness to question how they’ve done things for decades.”
For Emily, leading through that tension requires empathy – not just for patients, but for the professionals tasked with changing how they work.
Human Connection as a Measurable Outcome
To demonstrate how AI can serve care, not overshadow it, Emily described one of Braided Health’s guiding principles: “AI should enhance, not replace, the human connection.”
Her teams use AI to surface small but meaningful details that strengthen relationships – remembering a patient’s pets, family milestones, or personal goals.
“The CFO may want Miss Jones to stay out of the hospital because it’s expensive,” she explained. “Miss Jones wants to stay home because she wants to take care of her cats. Everyone’s goal aligns – AI just helps us see that.”
By embedding empathy into automation, Braided Health keeps the patient experience at the center of every algorithm.
Turning Complexity Into Structure
Healthcare is inherently complex – multiple systems, regulations, and workflows colliding daily. Instead of resisting that chaos, Emily’s philosophy is to bring order through design.
She compares her work to solving a strategic puzzle: aligning innovation with discipline. “You have to know what you’re building and why,” she said. “That conviction keeps you steady when everything around you shifts.”
It’s a principle that drives Braided Health’s startup-like agility while maintaining clinical integrity – two qualities rarely found together in traditional healthcare organizations.
Redefining Success in a Mission-Driven System
When asked about her motivation, Emily’s answer reflected both realism and optimism. “We don’t like to talk about money in mission-driven work,” she said. “But it’s how we make the work possible. You have to flip the script and understand how to make money in a way that doesn’t feel wrong when you go to bed at night.”
For her, ethical profitability isn’t a contradiction – it’s a necessity. Aligning financial and human outcomes is how innovation sustains itself.
The Invisible Work of Healthcare
Behind every interaction in healthcare lies an enormous amount of unseen effort: the documentation, follow-ups, scheduling, and mental load carried by clinicians. Emily calls it “the invisible work.”
“It’s not possible to hold all of that in your head,” she said. “That’s where AI can help.”
By using AI as a “virtual memory vault,” Braided Health’s systems free up care teams to focus on what matters most – connection, decision-making, and patient relationships. The goal isn’t efficiency for its own sake but clarity: allowing professionals to leave work knowing nothing important was forgotten.
Designing Systems That Listen
One of Braided Health’s most human innovations is how every patient interaction begins – with three simple questions:
- What’s on your mind?
- What are you worried about?
- What are you looking forward to in the next three to six months?
These questions turn care into a dialogue, not a checklist. “We’re showing people they lead the conversation, not us,” Emily said. “That creates alignment and motivation.”
The framework ensures that each visit starts from empathy, not assumption – a design decision as much as a moral one.
Looking Ahead: Slow but Certain Transformation
Emily believes AI’s integration into healthcare will be steady, not sudden. “Decision-makers are fearful,” she said. “They worry about accuracy, liability, and what it means for their own livelihoods. That’s going to slow adoption more than the technology itself.”
Still, she remains optimistic. The next wave of innovation, she predicts, will focus on real-time decision support – systems that listen, process, and respond in seconds without overwhelming users.
“It’s about surfacing the right information so humans can make better decisions,” she said. “That’s the balance we’re aiming for.”
Takeaway
For Emily Olson, the goal of AI in healthcare isn’t disruption – it’s restoration.
Her work at Braided Health represents a new standard for the industry: one where empathy, intelligence, and financial sustainability operate in sync.
“AI should enhance, not replace, the human connection,” she said – a principle that might just define the next era of healthcare.
🎧 Listen to the full conversation on The Brainiac Blueprint Podcast by Left Brain AI
→ Spotify | Apple Podcasts | YouTube
From Zero Leads to Consistent Flow And $57 CPL in 21 Days: How Action Hero Turned Cold Traffic Into Real Leads for a B2B Label Manufacturer
When a label manufacturer partnered with us, we decided to launch ads on several channels with one main goal: generate sales consultations.
But after the initial launch…
Zero leads.
Not a single form fill. Not one consultation booked.
That’s not just underperforming. It’s broken.
This case study outlines how we pivoted, rebuilt the campaign from the ground up, and delivered 13 leads in the first 21 days at a $57 cost per lead, less than half of our initial goal.
Note: Obviously the results from launch were not what any marketer or brand wants to see. But we at Action Hero are sharing this for several reasons.
- Any marketer that promises results from launch is lying to you. There are no guarantees in performance. The only guarantee is action. And we worked until the campaign was bringing the results we wanted.
- We are transparent. Our client was in the loop the entire time and knew exactly what was happening and what we were doing about it.
- As we tell all of our partners, marketing needs to be a long term investment. It’s only a waste if we stop all together. Instead, we now have a lot of data to make strategic decisions on how we can gain success in the short and long term from Meta ads.
Step 1: Diagnose Before You Deploy
Too many marketers treat underperforming campaigns like a budget problem.
We don’t.
Instead of throwing more money at the issue, we paused everything. Then we got to work. We felt confident that our audience wasn’t the problem. Instead it was the offer and the experience.
We used AI (ChatGPT) to dig into the audience, specifically decision-makers in companies that need labels for product packaging. We researched:
- Their fears (Will the quality hold up? Will it delay production?)
- Their goals (Consistency, reliability, fast turnaround)
- Their buying behavior (Trust is critical. They want proof.)
This gave us the emotional and strategic insight to rethink everything from ad creative to landing page flow.
Step 2: Fix the Offer, Not Just the Ad
The original ad pushed hard for one thing: “Schedule a consultation.”
But here’s the truth. Most B2B buyers aren’t ready to talk right away. They need to establish some trust and understanding of what you bring to the table.
We replaced that CTA with a gated lead magnet:
“5 Label Mistakes Costing Your Business Time and Money.”
- Visitors got the downloadable guide immediately.
- We sent the same asset via email.
- This gave us a warm lead and permission to follow up.
Lesson: A softer offer with real value outperformed the hard sell.
Step 3: Upgrade the Creative
The client brought in a local videographer to produce fresh photos and videos. Smart move.
We now had assets that told a story:
- Brand overview – Family owned. Built on relationships. Focuses on being a partner, not just an expense.
- Customer testimonials – Able to deliver high quality labels. Can support very specific asks, one off situations, quick turnarounds, and custom needs.
- Problem-solution clips – A can do attitude and a focus on action eliminates most challenges.
This wasn’t just a “pretty” upgrade. It was strategic. The visuals directly addressed buyer concerns uncovered during our research.
We combined these with strong, clear copy to build trust and urgency.
Step 4: Multiply the Variations with AI-Powered Copy
Armed with new visuals and a killer offer, we used AI to write dozens of ad variations. Our team created the initial variations. This allowed ChatGPT to understand what we were trying to accomplish. We asked for:
- Multiple headlines and hooks
- Different angles (pain points, results, storytelling)
- Test-ready combinations for both cold and warm audiences
Every week, we launched a new batch of ads. And we shut down underperformers fast.
The result: Constant optimization. Continuous improvement. No wasted spend.
Step 5: Build a Follow-Up System That Converts
Every lead who downloaded the guide was enrolled into a 5-step email sequence.
The emails:
- Mirrored the tone and messaging of the ads
- Addressed specific problems uncovered in our audience research
- Positioned the client as a reliable, solutions-focused partner
We weren’t just generating leads. We were warming them up for the sales team, on autopilot.
The Results
🚀 13 qualified leads in 21 days
💸 $57 cost per lead (versus a $125 goal)
⏱️ Full campaign turnaround in less than a month
From zero traction to steady lead flow without increasing ad spend.
Why It Worked
- Speed: Weekly testing kept momentum high.
- Insight: Research gave us the right message and offer.
- Systems: Email automation closed the loop with every lead.
- Balance: AI gave us volume. Human strategy made it convert.
Most agencies launch and hope. We don’t stop until it works.
Client Testimonial
We began working with Kyle from Action Hero Marketing about six to eight months ago. We had worked with other marketing companies in the past, but we weren’t overly thrilled with the results and the lack of understanding of our industry. Kyle has gone above and beyond to understand our business and create marketing material geared towards capturing future buyers. He has also made suggestions regarding video and streaming that we implemented and are already seeing great results. Kyle maintains communication on a biweekly basis (and sometimes more when implementing new strategies) so you always know what is going on. We would recommend Kyle and Action Hero Marketing to anyone looking to take their business to the next level. Thank you Kyle!
–Selina, Vice President and Co-Owner
Struggling with Lead Generation?
Let’s cut through the noise and build a system that actually performs.
📅 Book a Free Strategy Session
📩 Or email us at hello@actionhero.marketing to see how we can help with your lead generation!
AI Marketing for Small Businesses: A No-Fluff Guide to Smarter Strategy
If you’re a solo entrepreneur or running a small business with a lean team, marketing can often feel like a chaotic blend of guesswork and juggling too many tools. You’re trying to grow your audience, manage platforms, write content, and maybe even analyze data-all while wearing five other hats.
Here’s the good news: modern marketing no longer requires a big team or a massive budget. With a thoughtful strategy and the right use of AI tools like ChatGPT, even the smallest business can run a focused, high-impact marketing operation.
This guide is designed to help you simplify, prioritize, and execute a smarter marketing plan using AI-one that’s actually tailored to your size, goals, and customers.
🧠 Step 1: Know Exactly Who You’re Talking To
Before you write a single post or spend a dollar on ads, get crystal clear on your ideal customer.
Here’s how to do that:
- Look at your top 5–10 past customers. What traits do they have in common?
- Use AI to create a customer persona including demographics, behaviors, goals, and pain points.
- If you’re unsure, use AI to draft a customer survey and ask about preferences, struggles, and where they spend time online.
Why it matters: Clear audience understanding saves time, sharpens messaging, and reduces wasted effort on channels that don’t convert.
💬 Step 2: Build a Unique Message That Cuts Through Noise
Your Unique Value Proposition (UVP) is what tells people, “Here’s why you should choose us.”
Use these questions to shape it:
- What problem do we solve?
- How do we do it better or differently than others?
- Why should our customers care?
Put it into action:
- Write a 1-sentence UVP.
- Create 3 quick elevator pitches (10 sec, 30 sec, 1 min) to use in different settings (social, email intros, web copy).
- Ask AI to rewrite or tighten your message for clarity and tone.
🔊 Step 3: Define a Brand Voice (and Use It Everywhere)
Small businesses often overlook this, but having a consistent voice builds credibility fast.
How to find your brand voice:
- List 3–5 adjectives that reflect your business personality (e.g., bold, friendly, knowledgeable).
- Use AI to create a “voice chart” with do’s and don’ts for content and customer service.
- Review existing communications to see if they match the voice-or need editing.
Pro tip: Adjust tone slightly by platform. Your voice on LinkedIn should sound more polished than on Instagram or in a text-based chatbot.
🎯 Step 4: Set Goals You Can Measure (and Reach)
“Get more followers” isn’t a strategy. Neither is “increase traffic.” You need SMART goals: Specific, Measurable, Achievable, Relevant, and Time-bound.
Examples:
- “Grow our email list from 500 to 1,000 in 60 days.”
- “Increase Instagram engagement by 20% over 3 months.”
Use AI to help you:
- Turn vague ideas into trackable metrics.
- Suggest KPIs that align with your growth phase.
- Set weekly or monthly check-ins to adjust tactics.
📣 Step 5: Focus on the Right Channels (Not All of Them)
Don’t try to be everywhere. Instead, double down on platforms that match your audience and business type.
What to ask yourself:
- Where do your ideal customers already hang out? (LinkedIn? Instagram? YouTube?)
- What format best showcases your offer-video, short posts, educational content?
Use AI to:
- Create a 30-day content calendar for one primary channel.
- Generate A/B test ideas to see what content performs best.
- Review performance and refine weekly.
🔁 Step 6: Map the Customer Journey & Fill the Gaps
Think beyond the first click. Great marketing nurtures relationships at every stage-from awareness to loyalty.
Customer journey stages:
- Awareness
- Consideration
- Purchase
- Post-purchase
- Advocacy
Quick actions:
- Use AI to map out your journey.
- Identify friction points (e.g., “They don’t convert after viewing the pricing page”).
- Draft content and emails that move people to the next stage.
✅ Step 7: Build a Repeatable Execution Plan
Once your strategy is clear, you need a system to implement-not just brainstorm.
Simple 30-day plan:
- Pick 1–2 goals.
- Assign specific tasks weekly (content, email, outreach).
- Track results every Friday.
Use AI to:
- Build weekly task lists and accountability check-ins.
- Create a simple KPI dashboard in Google Sheets or Notion.
- Allocate a small budget and optimize spend as you go.
🛠 Final Tips for Smarter Small Business Marketing
- Use AI as a partner, not a crutch-you still know your business best.
- Start small, test fast-better to master one channel than dabble in five.
- Track what works-document wins, misses, and insights.
- Stay adaptable-your audience, tools, and market will keep evolving.
🚀 Ready to Get Moving?
If you’ve been feeling stuck or stretched thin, this approach is your reset. With AI and a focused plan, small teams can now execute like large ones-without the overhead. All it takes is clarity, consistency, and a system that supports execution.
Want help mapping out your first 30-day AI-driven marketing plan? Reach out and I’ll help you build one tailored to your business and bandwidth.
🚀 Meet Your 24/7 AI Closer: GoHighLevel’s AI Employee
Imagine this: It’s Saturday night. You’re relaxing, and a lead messages your website. They get an instant, friendly response: questions answered, objections handled, appointment booked, without you lifting a finger. That’s exactly what GoHighLevel’s AI Employee does: your tireless, brand-trained virtual assistant that never sleeps.
What Is an AI Employee?
GoHighLevel’s AI Employee is no ordinary chatbot. It’s a full-suite AI assistant combining Voice AI, Conversation AI, Reviews AI, Funnel & Website AI, Content AI, and Workflow AI Assistant, all wrapped into one package. Tailored for agencies and SMBs, it automates lead nurturing, support, bookings, and content with brand consistency.
Core Features That Move the Needle
🔊 Voice AI
Acts as your 24/7 phone receptionist: answers calls, captures details, qualifies callers, triggers follow-up workflows, and can even transfer them to a live rep if needed. No missed calls, ever.
💬 Conversation AI
Handles SMS, chat widget, Facebook Messenger, Instagram DMs, and even email in beta. Smart, context-aware, multi-channel nurturing without an OpenAI key.
⭐ Reviews AI
Auto-responds to Google and Facebook reviews, upload your tone scripts and choose between suggestive or autopilot modes, keeping your reputation sharp without lifting a finger.
📄 Content AI
Instantly generates emails, blogs, social posts, and funnel copy. Even auto-creates images. Content production gets turbocharged.
⚙️ Workflow AI Assistant
Guides you through automations: “When a new lead books, send them a zoom link and follow-up SMS two days later.” It writes workflows for you, just tweak and activate .
📊 Funnel AI
Builds high-converting funnels in minutes with AI-optimized structure and copy, great for offers, webinars, product launches and more.
Real-World Use Cases
These aren’t hypotheticals, they’re battle-tested applications:
- Real Estate: Instantly qualify buyers/sellers, book showings, answer pricing FAQs, even while agents sleep.
- Health & Wellness: AI handles intake, FAQs, appointment scheduling, and post-visit follow-ups.
- Home Services: It books estimates, answers prep questions, and upsells additional services.
- Ecommerce: Tackles shopping cart questions, upsells accessories, and sends timely abandoned-cart nudges.
- Coaches & Consultants: Screens discovery call applicants, confirms sessions, and answers pricing inquiries automatically .
Why It Trumps Traditional Chatbots
- Context memory: It recalls previous interactions and adapts tone mid-conversation.
- Business-trained: You upload your SOPs, scripts, pricing, calendar rules and AI behaves as if a team member.
- Workflow triggers: Chat or voice actions can seamlessly launch email/text sequences or CRM tasks.
- Scalable and consistent: Handles unlimited simultaneous chats or calls without burnout or human error.
Setup in 6 Easy Steps
- Enable AI Employee in your Agency > Company settings
- Pick pricing: Keep usage-based or select unlimited options for each sub-account.
- Upload training assets: SOPs, FAQs, tone guides, booking rules.
- Choose channels: Activate Voice, SMS, chat widget, social DMs.
- Configure workflows: Set triggers (e.g., new lead → booking sequence).
- Launch and optimize: Monitor performance, tweak prompts, refine, rinse, repeat.
How Action Hero Marketing Implements AI Employee
Here’s a sneak peek 👇
- Client Kickoff: Gather brand tone, customer pain points, booking rules, and content templates.
- Training & Prompting: We build prompt stacks tailored to industries, “virtual receptionist for a spa in Cape May” using local language and tone.
- Workflow Design: Map funnel stages (new lead → qualification → booking → nurture → conversion) with AI triggers.
- Multi-channel Deployment: AI engages 24/7 via SMS, chat, calls, and FB/IG.
- Performance Monitoring: Track metrics, response times, bookings, conversions, reviews, and optimize weekly.
Result? Clients reclaim 10+ hours/week, see faster conversions, and close more deals without hiring extra staff.
Recommended Use Action Plan
To launch AI Employee smoothly:
- 🧩 Collect: Brand voice, FAQs, booking rules
- 🔧 Set up: Training prompts and voice workflows
- 📱 Choose channels: SMS, calls, chat, social
- ⏱ Test & Tweak: Monitor performance and adjust tone
- 📈 Scale: Enable unlimited access once ROI kicks in
Conclusion: Your New AI Colleague Is Ready to Clock In
Let’s summarize: GoHighLevel’s AI Employee is a powerful, all-in-one AI assistant that nurtures, qualifies, books, and converts,all under your brand’s voice and guidance. Whether you’re missing night leads, drowning in new inquiries, or burning hours on repetitive tasks, this tool steps in and takes over.
🔥 Ready to Get Started?
Unlock your AI-powered marketing machine today:
👉 Start Your 14 Day Free Trial + Unlimited AI Employee
👉 Book a 1-on-1 Strategy Session with Action Hero Marketing
Get your AI Employee trained, optimized, and earning for you within days,while you focus on transforming businesses.
Unlocking the Power of Notebook LM: A Game-Changer for Research and Productivity
Notebook LM is fast becoming one of the most talked-about tools in the world of research, productivity, and content creation. Backed by Google’s Gemini AI and powered by retrieval-augmented generation (RAG), this platform offers an innovative way to analyze, summarize, and synthesize information from various sources. Whether you’re a student, a business strategist, or a content creator, Notebook LM can dramatically streamline your workflow.
What is Notebook LM?
At its core, Notebook LM is a source-grounded AI assistant. You can upload a variety of documents-PDFs, Google Docs, slides, YouTube transcripts, and even your own audio recordings. The AI then becomes a subject matter expert on your materials, delivering context-aware insights, summaries, and answers. This eliminates much of the risk of “hallucinations” that plague other AI models.
Key Features
- Multiformat Outputs: Create written summaries, timelines, study guides, and even AI-generated podcasts based on your content.
- Smart Note Management: Pin, annotate, and categorize key insights within a customizable pinboard.
- Discover Feature: Automatically pulls and summarizes relevant web sources for deeper research without manual uploads.
- Interactive Audio: Generate and interact with real-sounding audio overviews, ideal for passive learning.
Use Cases Across Domains
1. Academic Research & Study Prep
Students and educators can upload textbooks, lecture notes, and research papers to generate quizzes, glossaries, and summaries. Audio overviews allow for convenient review sessions during commutes or workouts.
2. Business & Marketing Strategy
Professionals can analyze sales funnels, customer call transcripts, or advertising campaigns. Notebook LM surfaces patterns and suggests best practices, saving hours of manual work.
3. Creative Projects
Writers and content creators can upload drafts, notes, or research to uncover themes, edit prose, or storyboard ideas. It’s like having a second brain dedicated to your creative process.
4. Content Curation & Knowledge Distillation
Convert YouTube videos or long-form articles into shareable summaries, FAQs, or podcast episodes. This is a boon for journalists, podcasters, and educators.
5. Personal Knowledge Management
Compile daily notes and journal entries to build a searchable, interactive knowledge base. Ask follow-up questions and track ideas over time.
Tangible Benefits
- Time Savings: Automates note-taking, summarization, and review-potentially saving users several hours a week.
- Cost Reduction: Replaces the need for research assistants or tutors; available for free or bundled with Google’s AI Premium plan.
- Accuracy Gains: In specialized fields like medicine, Notebook LM’s RAG-based answers are significantly more precise than traditional AI outputs.
Real User Testimonials
“I feed it all the info and then question it like crazy. It’s like having a full-time research admin.”
“It’s been incredible for helping me create presentations and study for exams.”
Limitations
- Occasional hallucinations still occur-critical information should be double-checked.
- Limited real-time collaboration tools as of now.
- Mobile experience is currently more limited than desktop.
Getting Started
- Upload relevant documents or links.
- Use smart prompts to guide AI outputs.
- Organize insights into notebooks and pinboards for future use.
The Road Ahead
Expect enhanced features such as real-time collaboration, multilingual audio summaries, and deeper integration with automation tools. As AI continues to evolve, Notebook LM is poised to become an indispensable tool for knowledge work.
Whether you’re aiming to save time, boost accuracy, or elevate your content, Notebook LM is a transformative tool that’s worth exploring.
“What’s Wrong With Me?” – How Smart Healthcare Marketing Answers the #1 Patient Question
Imagine this: It’s 2:43 a.m. You’re staring at your ceiling, heart fluttering with anxiety and chest feeling weird. Do you have indigestion? Anxiety? Or is it something much worse?
In today’s healthcare landscape, the journey begins long before the clinic visit. For most patients, it starts with a nagging question: “What’s wrong with me?”
As a hospital or healthcare marketer, your content has one job at this stage: ease fears with clarity, empathy, and accessibility. Let’s break down what that looks like across the digital patient journey.
😟 The Emotional Rollercoaster of Early Symptom Search
When patients first feel something’s off, they often go through:
- Fear: “What if it’s serious?”
- Confusion: “Is this normal? Should I wait it out?”
- Embarrassment: “Is it dumb to see a doctor for this?”
- Hope: “Maybe it’s just stress.”
Stat: Over 70% of patients begin their care journey with an online search. (Source: Cardinal Digital Marketing)
This is your opportunity to meet them with the content that calms nerves and encourages action.
📅 Touchpoints That Matter Most
Here’s a quick snapshot of how the “What’s wrong with me?” journey plays out online:
| Stage | Touchpoint | What They Feel |
| Symptom hits | Google, WebMD, Reddit | Panic, uncertainty |
| Search results | Health blogs, YouTube, hospital sites | Hope, curiosity |
| Provider check | Website, reviews, bios | Trust or skepticism |
| Contact | Chat, phone, booking | Relief, courage |
Every single click is a moment to build or break trust.
✅ Best Practices: Winning the “What’s Wrong With Me” Moment
1. Lead With Empathy
“Worried about that persistent cough? You’re not alone, and here’s what it could mean.”
2. Make Symptoms Searchable
Structure pages like this:
- Symptom: Chest Pain
- Top Causes: Heartburn, Anxiety, Heart Attack
- Red Flags: Call 911 if you feel XYZ
3. Use Visuals + Tools
- Symptom-checker quizzes
- Decision tree flowcharts
- Explainer videos
4. Ethical Patient Stories
“It started as a small pain in my back… and turned out to be kidney stones. Luckily, I found answers fast.”
5. Simplify the Next Step
- “Call a nurse now”
- “Book a virtual triage appointment”
📈 Real-World Hits and Misses
✅ Great Example:
- Mayo Clinic’s symptom checker is intuitive, backed by doctors, and gives patients an idea of what to do next.
❌ Missed Opportunity:
- A hospital blog post that lists 20 possible causes of chest pain without offering guidance or next steps. Confusion city.
🔍 SEO Tip: Own the Symptom
Ranking for phrases like “why does my stomach hurt after I eat” or “causes of dizziness” = major lead gen. Make sure content:
- Targets long-tail, natural-language keywords
- Includes FAQ-rich schema
- Links to relevant treatment and provider pages
🏋️♂️ Wrap-Up: Clarity is Care
Answering “What’s wrong with me?” isn’t just about diagnosis—it’s about delivering clarity in chaos. Your content should:
- Empathize with what patients are feeling
- Guide them through their fears
- Offer tools and direction
Do this well, and you won’t just get clicks. You’ll earn trust—and likely save lives.
Next Up: We’ll tackle Question 2: “How will you treat me?”
Need help designing high-converting, patient-first healthcare content? Action Hero Marketing is ready to scrub in. Let’s humanize your hospital’s message and win trust, one search at a time.
