We built Mos with coding agents at the core: lots of background agents, a ton of integrations (messengers, wearables), and deep domain knowledge from Dr. Oliver Zolman, Bryan Johnson's longevity collaborator. And it works.
We developed and validated it with a custom user simulator plugged straight into our AI harness. The whole thing is tuned for one goal: making it as easy as possible to get healthier.
Stack, for the curious: RLM, Pydantic Monty, GPT-Live, Astra, Opus, Gemini (yes, that too).
Want to see what happens when you throw the best of today's AI at helping you feel better? → https://t.co/eqocMmznt8
We’ve never had more health data.
And somehow, we’ve never been more confused about what to do with it.
So today, we’re launching @moshealthco.
Mos comes to you, not the other way around.
Try it for free - link in the comments!
We’ve never had more health data.
And somehow, we’ve never been more confused about what to do with it.
So today, we’re launching @moshealthco.
Mos comes to you, not the other way around.
Try it for free - link in the comments!
12 years building Booksy. Now launching Mos Health, your AI health partner.
AI powers the product and helps our small team build it without slop code.
The trick? Less yolo and more rigor and harness engineering.
Try it free -> https://t.co/Ehm74p0r0i
Tell me what you think ;)
@dzhng I am building dynamic graphs / timelines based on traces from simulated users to understand my ai backend e2e.
It contains also review layers, e.g. if models use tools given to them, prompts consistency, etc.
Can call coding clis from there (less exploration)
@_can1357@jmbollenbacher I've had stateful codegen in my harness since feb 2024 with subagents since sep 2024, thought everyone would do it in a month, 2 years later people argue who came up with it, may as well join the crowd:D