About

Why I built Stratam.

Most AI tools sit behind a chat window. You open them when you need something, close them when you don't. The work that happens between your sessions — the things that need watching, the loops that need closing — falls on you.

Stratam is the opposite of that. He runs in his own cloud, 24/7, across every channel you give him access to. He watches your inbox while you sleep. He takes real action — runs code in a sandbox, drives a browser, posts to your accounts — and tells you in Discord (or SMS, or email) when something actually needs you.

The problem I kept hitting

I'm a builder. I run a couple of businesses, trade crypto, write code, and have more incoming inputs than any single person can track. For two years I've been trying to glue together: ChatGPT for thinking, n8n for automation, a Discord bot for notifications, a Telegram bridge for SMS, Playwright scripts for scraping, cron jobs for monitoring. Twelve tools, six logins, all of them drift out of sync the moment I stop curating.

The ChatGPT-style chat window is brilliant at one thing — answering questions in real time. It's terrible at the actual work pattern I have: "watch this, ping me if X, while you're at it run that every morning, and remember what we decided last Tuesday."

"Chat closes when you close the tab. Stratam keeps working."

What I built instead

One agent. One persistent memory. Lives in a cloud container at stratam.us. Reaches me on Discord, email, and web today (SMS + voice rolling out via Twilio). Has real tools — Playwright for browser, a sandboxed Python environment with pandas pre-installed, 244 specialist agents for domain work, persistent vault for memory across sessions.

The system is built in public: every shipped change goes into /changelog with the date, the title, and the full engineering note. Every public capability claim is auditable against the actual deployed system — there's a probe harness that exercises each one and reports pass/fail. As of today, 9 out of 12 site claims are verifiable end-to-end; SMS and voice are explicitly labeled "rolling out."

The shape of the team

It's me — JFutures — and the system itself. Stratam runs an eternal-improvement loop: every 30 minutes he proposes and ships a code change to his own source. Snapshot, parse-check, atomic deploy, watchdog rollback on unhealthy boots. The version of him you talk to next week is not the version you'd talk to today.

Solo-founder + an AI that helps build itself is a strange shape for a team, but it's the right one for this product. Stratam is the proof-of-concept I'm running on myself; if I can run my operations through him for a year without it falling apart, the architecture works.

73+
Ships in 14 days
244
Specialist agents
9/12
Audited claims real

What I'm betting

The next valuable category of AI product isn't "smarter chat." It's agents that act. Agents that have permission to do real work, with memory, with tools, with the ability to ping you on the channel you're on. Anthropic, OpenAI, Google — they all see this. The race is to build the agent that's actually trustworthy enough to leave running.

Trustworthy means: doesn't fabricate, doesn't pretend, doesn't claim to do things it didn't. Stratam has three layers of anti-fabrication that catch the model when it lies about taking action. Every tool call is logged with a timestamp; every claim is auditable against the receipt.

I'm building Stratam because I want this for myself. The bet is that other operators want it too.

Questions or feedback: hello@stratam.us.