AI product / Human-guided agentic SDLC
NearHalo: A human need. An agentic product team.
I turned a personal need into a product and used specialist AI agents across discovery, design, engineering, testing, and launch. The direction, decisions, design quality, and accountability remained mine throughout.
The film / 3 min 18 sec
The product story and the team behind it.
Press play to watch the full landscape film. Closed captions are available in the player; the complete narration is below.
Full film · landscape 16:9 · audio on demand · Open the video file
01 / The human problem
Independence and a clearer way to know when help is needed.
My father suffered a stroke while living independently. What stayed with me was how long he had been alone without any of us knowing he needed help. I wanted to support his independence while giving family a better way to recognize when a check-in might be needed.
NearHalo began with that need, not with a technology demo. The film tells the personal story in my own words.
02 / My role
Product judgment stays with the person accountable.
I set product direction, supplied the problem context, worked through options with product agents, guided design consistency, and made the decisions that carried into implementation. The agents extended my capacity; they did not replace the judgment behind the product.
For new features and enhancements, agents debate options and refine a recommendation. I decide whether to proceed; when I approve, a lead agent implements it through the connected harness. That is one explicit decision point, not a claim that every action at every stage passed a formal approval gate. I remain accountable as the work moves from research to launch.
03 / The workflow
Context, specialists, review, and iteration.
- Frame the need. BMAD was the foundation. I added specialist agents and reusable skills. Through context engineering, product agents questioned the pain point, proposed options, and worked through choices with me; the decisions became shared context.
- Research and shape. Research agents compared products and identified gaps, shaping personas, journeys, and flows. My design loop kept interactions and visual language consistent and flagged generic AI styling.
- Build and challenge. Engineering agents implemented changes. Independent review agents flagged code and potential security issues; engineering agents made fixes and regression tests checked them.
- Check the experience. Alongside the native app I built a web app. Agents used Playwright to check browser flows for usability friction and ran automated accessibility checks.
- Carry context to launch. The established product context informed the marketing website, including captured product screenshots and UX copy grounded in personas. The story stayed connected from problem framing to public explanation.
04 / Outcome and evidence
A product beyond the prototype.
The film presents a native app on the Apple App Store, a web app, and a marketing website. Separately, the public App Store listing, product website, and web-app entry point are currently reachable; their availability does not verify every feature or user outcome shown in the film.
Automated browser and accessibility checks are not comprehensive human usability or accessibility evaluation. Independent code and security review can surface issues but does not guarantee security. NearHalo supports family care coordination and general wellness; it does not diagnose or prevent stroke, guarantee rescue, or replace medical care or emergency services. Information and alerts can be delayed, incomplete, or unavailable.
Full narration / Searchable text
Film transcript.
The narration below is reproduced from the production transcript. Timed English captions are also available in the player.
My father was living on his own when he suffered a stroke. He was found in his yard the next morning, just a few feet from a canal.
We believe he may have been outside, unconscious, for as long as 10 to 12 hours. When he was discovered, he was disoriented and had no idea what was happening.
What stayed with me was how long he had been alone without any of us knowing he needed help.
My father has always been an independent person. I wanted to find a way to support him without taking that independence away.
I wanted to build a real product to help my father and others like him. That’s why I brought together an AI product team
BMAD was the foundation. I added additional specialist agents and reusable skills.
Through context engineering, product agents questioned me about the pain point, suggested options, and worked through them with me.
Those decisions became the context guiding the team.
Research agents compared products and identified gaps, shaping personas, user journeys and flows.
My design loop preserves consistent interactions and visual design, it also flags generic AI styling.
Independent review agents flag code and potential security issues. Engineering agents make fixes, and regression tests check them.
Alongside the native app, I also built a web app. Agents use Playwright to check its browser flows for usability friction,
and automated accessibility checks.
For new features and enhancements, agents debate options and refine a recommendation, then send me their conclusion.
I decide whether to proceed. If I approve, a lead agent implements it in the codebase through the connected harness.
The result is NearHalo—a native app, live on the Apple App Store and free to download.
it brings together available Apple Health data from Apple Watch, including vitals and recorded fall events, location and geofencing. It can alert caregivers when readings cross caregiver-set thresholds or someone leaves a designated area.
The product development lifecycle doesn’t stop at release. A product also needs a go-to-market strategy.
I created an agent that used the product repository’s context to build the marketing website in less than one day.
It captured product screenshots and wrote UX copy from our established personas. The context carried forward—from understanding the problem to bringing the product to people.
I can’t change what happened to my father.
But I can turn that experience into something other families can use.
That’s why I built my AI product team.
And that’s why I built NearHalo.