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Insights on AI, leadership, and the future of work from the Ariso team and friends.
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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. While we were getting coffee, the software built itself. This isn't the future. This is Tuesday.
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.
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.
How to Deal with a "Vibe Coding" CEO (And Still Keep Everyone Happy)
Managing a coding CEO isn't about stopping them from coding. It's about building a padded room where they can do cool karate moves without breaking the furniture.
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.
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.
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.
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.
Teaching Doesn't Change People; Understanding Does
Until someone sees themselves and their context clearly, new advice is just another tab in the browser. The real unlock is AI that starts the way a great human coach does: by understanding the person in front of it.
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.
Coding While You Sleep: Lessons from Building an AI-Native Engineering Team
Coding agents aren’t going to steal your job—but engineers who learn how to work with them will absolutely outpace those who don’t. At our company, we don’t treat AI as a novelty or a replacement for thinking. We treat it like a junior engineering team that never sleeps. Every night, we hand off a list of tasks to our coding agents. By morning, we’re staring at a stack of pull requests—some useful, some disposable, all cheap to generate.
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.
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.
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.