Rich Schefren

Wrote the Internet Business Manifesto (2006) + the AI Business Manifesto (2026). Founder, Strategic Profits. $15B+ in client growth.

[Rich Schefren @richschefren]

Right now, somewhere in your team's notes, decisions, and meeting transcripts, sit dozens of margin claims, partner commitments, and customer promises that quoted the old price. They are now wrong. Your memory system — Notion, your vault, Slack search, whatever — does not know.

I shipped a memory layer today that does. It's called Atlas.
https://t.co/zePd38ln63

Atlas is open-source, local-first, and runs on your laptop. When a fact in your memory changes, it walks the dependency graph and re-evaluates every belief that depended on it. Automatically. Not at retrieval time, when you ask the question — at *ingestion time*, the moment the new fact lands.

The math is the AGM postulates from 1985 (Alchourrón-Gärdenfors-Makinson). The same formal correctness Young Bin Park proved on a property graph in his 2026 paper at Kumiho. Atlas re-implements it as fully open-source local-first code anyone can audit. 49 of 49 compliance scenarios pass at 100%.

Local-first means: Neo4j on your machine, SQLite ledger on your machine, your data never leaves your hardware. No cloud, no telemetry, no API keys for the core path. Apache 2.0.

If you build with AI agents, plug it in: Claude Code MCP, Hermes, OpenClaw. If you keep an Obsidian vault, point Atlas at it — when contradictions emerge, they show up as markdown files in your vault for you to resolve.

The repo, the paper draft, the 49-scenario reproducibility artifact, the BusinessMemBench head-to-head benchmark, and a 12-second demo are all at https://t.co/yxPK3fm6UK.

If you've been frustrated by AI tools that "remember" everything but reason about none of it, this is the open-source layer that closes the gap.

— Rich

#opensource #ai #knowledgemanagement #memory #localfirst

https://t.co/zePd38ln63

[Rich Schefren @richschefren]

You are not behind on tools. You may be late to choosing a problem.

[Rich Schefren @richschefren]

Your first AI system needs five parts:

A real problem
The context to act
A clear outcome
A check
A place to keep the lesson

Ignore the rest until this works.

[Rich Schefren @richschefren]

"I'm four months behind on AI. Where do I start?"

Not with four months of news.

Pick one repeated business constraint with a visible result. Build the smallest working loop around it. Learn from use.

[Rich Schefren @richschefren]

Standards drift through the work you let slide.

[Rich Schefren @richschefren]

Every approval is training data.

If you approve weak work because you're busy, the system sees acceptance, not compromise.

Make the correction or mark the exception. Silence teaches too.

[Rich Schefren @richschefren]

Your AI system is learning whether you manage it or not.

It learns from what you accept, what you correct, which source you trust, and which mistakes you let pass.

The question is whether it's learning the right lesson.

[Rich Schefren @richschefren]

Adapt the tools. Keep the faculties that let you adapt.

[Rich Schefren @richschefren]

Three things I would protect through any technology shift:

Proximity to the customer
The ability to make a hard call
The habit of testing belief against data

Everything else can be rebuilt.

[Rich Schefren @richschefren]

The founders who win the AI shift won't be the ones who tried every model first.

They'll be the ones who kept their judgment sharp, redesigned the business, and learned faster without handing the company to the machine.

[Rich Schefren @richschefren]

The best asset is one that teaches you while it works.

[Rich Schefren @richschefren]

Tools don't compound.

Skills can.
Customer knowledge can.
Trust can.
Decision quality can.

Own more of what gets better with use and less of what expires with an update.

[Rich Schefren @richschefren]

Content does not compound because you keep publishing it.

It compounds when each piece sharpens the idea, attracts the right person, teaches you what resonates, and improves what you say next.

[Rich Schefren @richschefren]

You cannot redesign a business you're still describing from memory.

[Rich Schefren @richschefren]

Describe the business as it works today, not as the org chart says it works.

Who really decides?
Where does work really wait?
Which offer really drives profit?

Start there.

[Rich Schefren @richschefren]

At some point, you realize the company you built is not the company you now run.

The customers changed. The team changed. The economics changed. Your role changed.

But the operating model never caught up.

[Rich Schefren @richschefren]

The hardest rules to question are the ones that once made you successful.

[Rich Schefren @richschefren]

When growth stalls, don't begin with new tactics.

Find the oldest important assumption in the current model and test whether it's still true.

The constraint may be a decision everyone stopped noticing.

[Rich Schefren @richschefren]

Most business ceilings are made from decisions that once worked.

The offer, org chart, price, approval rule, and customer definition were answers to an older problem.

Growth changes the question.

[Rich Schefren @richschefren]

More intelligence does not excuse a mess.

[Rich Schefren @richschefren]

Every new part of an AI system should earn its place:

What failure does it prevent?
Who owns it?
How will we know it's broken?
Can a simpler part do the job?