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Following are my personal thoughts on tech, AI, startups and adoption of AI in Health-Care. You could read more about me here

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Blog / Thoughts

  • 9 min read

CMS ACCESS: Getting the Patient in the Door Is the Hard Part

It's very hard to automate patient referrals into a digital health program. You'd think patients will see a program like CMS ACCESS online and onboard themselves, but there's a lot more to it.

We've spent the last year at RevelAI Health building for this model, and most of that time went into a problem that isn't in the RFA at all: how does a patient actually get into your program, and how do you keep them there for twelve months? I want to share how we think about it, what the evidence says, and what we're building.

  • 5 min read

The Agent That Cheated on Its Own Exam

Picture a student in a proctored exam. Sealed room, no phone, one door, someone watching. Now picture that student quietly working out that the answer key is sitting in a filing cabinet three buildings over, letting itself out through the ceiling, and going to get it.

That is more or less what happened to Hugging Face in July. Except the student was an AI agent, and the filing cabinet was production.

A month later, OpenAI published what preventing the next one costs. The number is denominated in GPUs.

  • 6 min read

The Learning Loop: A Data Agent That Audits Its Own Answers

Text-to-SQL is a demo. Keeping the numbers right for months while the schema moves underneath you is the actual product. Byaan closes that gap with auto-evolving skills: every conversation gets adversarially reviewed, mistakes become skill edits backed by code evidence, ambiguity becomes a question, and subject matter experts hold the merge button.

  • 6 min read

The LLM Router Era Starts with Fable 5

Fable 5 is the most incredible model I have used. Not a nicer version of the last one. Another level of increment in capability.

But that is not the part that stuck with me. After days of heavy use, the thing I keep noticing is not what Fable does. It is what Fable chooses not to do itself.

It delegates. And it is good at it. That is the first real glimpse of something I have been waiting for: the LLM router era. This post is the thesis and the playbook: why routing is about to become the default economics, and the exact skill I use to make Fable route work to cheaper models.

  • 5 min read

A Few Weekends with a Coding Agent Replaced My $30/Month Email App

I used to be slow at email. Threads sat unread for days. Replies took a weekend of guilt. Archiving was something I did with a mouse, one click at a time.

Superhuman fixed that. It taught me that email is a keyboard problem. c to compose, e to archive, j and k to move, Cmd+K for everything else. Within a month I stopped treating my inbox as a place I visit and started treating it as a queue I clear.

So this is partly a thank-you note. Superhuman genuinely made me productive at email, and I paid $30 a month for years, happily.

  • 6 min read

Plan Big, Execute Small: Taming My Fable 5 Bill Without Dumbing It Down

I run Claude Fable 5 as my daily driver in Claude Code. It is the best model I have used, and it is priced like it: $10 per million input tokens, $50 per million output. The painful part is that most of what an agent does all day is not deep reasoning. It is reading. Files, web pages, logs, search results, all pulled through the most expensive brain money can buy.

Then I found an Anthropic cookbook that reframed the whole problem: Plan Big, Execute Small. One notebook, one idea: let the frontier model plan and judge, let cheaper models do the mechanical reading. I liked it enough that I turned it into a Claude Code skill, and it has changed how I work.

  • 8 min read

Agent Workflows & Loops

Episode 1 was about using agents to ship faster. Episode 2 is about the part agents still have not solved: production follow-through.

Writing code by hand is mostly automated now. Shipping to production is not, and shipping means more than getting a PR merged. It is testing the feature live, telling your team and your customers how it works, watching logs and analytics for a few days, and iterating on what you learn. Loops are what finally help with that.

A workflow is not just a clever prompt. It is the shape around the agent. What does it read? What does it ignore? When does it fork? When does it stop? When does it wake you up?

That is the difference between a useful long running agent and an expensive tab that slowly drifts away from reality.

🎥 Watch the episode. This is Episode 2 of my Build with Agents video series. Watch it on Substack.

  • 6 min read

Your Claude + Codex Setup, and Why You Shouldn't Fear the CLI

This is the first episode of Build with Agents, where I record my coding agent setup, the ergonomics and developer tools I have wired up locally to stay productive. I will keep these short and ship them often, because my setup keeps changing and I would rather share what I have now than wait for it to be perfect.

🎥 Watch the episode. This is Episode 1 of my Build with Agents video series. Watch it on Substack.