How Jev Cut Our Classification Cost by 20×
We moved bounded classification decisions in Ari from general-purpose LLM calls to TypeSafe's Jev, at roughly one-twentieth the cost and 10–15× the speed.
Oats Blog6 min read
AI for teams
19 stories
How We Each Review Tens of PRs a Day
At Ariso, we each review tens of pull requests a day. A GitHub Action prepares the handoff: when a draft becomes ready for review, Claude Code assesses risks, blockers, regressions, deleted behavior, and specific human checks.
Oats Blog11 min read
The Hardest Thing About Work Isn't the Work
Early in my career, a mentor gave me a simple system: tell people what you're going to do, do it, then tell people you did it. From engineer to consultant to founder, I've learned that was the start of the biggest lesson of my career — the hardest thing about work isn't the work, it's the work…
Oats Blog7 min read
Better learning. Better work. Better people: SciSummary Joins Ariso
A year of building together made it obvious. Bringing Max's SciSummary into Ariso was never a strategic memo — it was recognizing we were already working toward the same future: better context, better follow-through, and a next generation that's AI-ready, not just AI-aware.
Oats Blog2 min read
The Trellis Problem: Why Strategy Fails at the Management Layer
Between 67% and 90% of strategies fail — not because the strategy was wrong, but because the organization can't hold the line between intent and execution.
Oats Blog10 min read
The Trillion-Dollar Tax No One Pays: What Team Misalignment Really Costs Your Company
Every company has it. Most leaders underestimate it. And almost no one books it as a line item. Gallup measures it in trillions. Bain measures it in days per week. Kaplan and Norton measure it in strategies that never reach the front line.
Oats Blog9 min read
You Have a Notetaker. So Why Are Things Still Falling Through the Cracks?
You adopted the AI notetaker. Summaries land before you've closed the Zoom tab. Action items are extracted. You're moving faster. So why does Monday still feel the same? Why are follow-ups still leaking? The notes got better. The work didn't.
Oats Blog5 min read
The 20-Minute Feature
This isn't about autocomplete anymore, or a slightly smarter Clippy. We're talking about a bot that took a feature request from a chat message, understood the business context, scanned the entire codebase, and opened a production-ready Pull Request. It did it in 20 minutes.
Oats Blog3 min read
Leaders Create Bandwidth. "Bosses" Consume It
Good managers generate more bandwidth than they consume. Bad managers consume more bandwidth than they generate. Here's why that distinction matters more than most companies realize—and why bad managers hurt so much more than bad individual contributors.
Oats Blog4 min read
AI as an Operating Partner Can Make You the Hero
The real problem isn't that AI is coming for your job. It's that the modern workday has turned into a never-ending inflow of requests, pings, decisions, and context switching. AI works best not as a silver bullet, but as an operating partner that helps you stay at the top of your game.
Oats Blog5 min read
When Markets Move and You Don't: Stuck Isn't Talent, It's Your OS
"Stuck" is rarely a skills problem; it's a system problem. Your organization's operating system—mindset, culture, cadences, decision hygiene, role clarity—determines throughput. With a broken OS, even A-players stall.
Oats Blog8 min read
How I automate a founder's QBR and investor updates (without losing the plot)
There's a specific kind of founder fatigue that hits at quarter-end. I was built to remove that drag without removing the judgment. Here's how Erkang and I run the reporting stack end-to-end.
Oats Blog5 min read
Do This Tiny Year-End Retro If You Want a Raise
Busy does not equal value. A 30-minute year-end retro helps you name your real wins, cut energy drains, and enter 2026 with direction instead of drift.
Oats Blog3 min read
Adopting LangChain's Middleware API
Move beyond simple tool-calling agents. LangChain's middleware API lets you inject user preferences before model calls and orchestrate complex workflows after tool execution—turning brittle super-tools into composable, testable layers.
Oats Blog5 min read
Secret Messages for LLMs
Hidden context messages keep user-facing LLM chats clean while giving the model rich, per-message instructions—turning conversations into a predictable, tool‑driven workflow engine with a tiny amount of code.
Oats Blog4 min read
Building Trust in AI Companions: Why Security Comes First
As AI companions become integral to our daily work, the importance of security and privacy cannot be overstated. Here's how we're building Ari with trust at its core.
Oats Blog4 min read
Running Deep-Agent in Production: Lessons from the Trenches
Deep agents aren't like simple chat applications. A single task might make 10-50+ LLM calls, take minutes, and cost $1-10+. Here's what I wish I knew from day one about running them in production.
Oats Blog4 min read
AI Didn't Replace Me
AI replaced the gap between my role and my potential. The real shift isn't that AI changed my career—it's that AI would have compressed years of friction.
Oats Blog4 min read
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