I fix the expensive, broken stuff inside businesses.
A bad AI build that looked great in a demo and falls apart in real use. A manual workflow quietly eating hours every week.
I turn it into a system your team can actually run.
What that gets you:
β’ More revenue captured. Leads, quotes, and follow-up that stop slipping.
β’ Less manual drag. Reporting, intake, CRM cleanup, routing.
β’ Fragile builds made reliable enough for daily use.
Nobody wants "AI." You want customers, lower costs, and your people freed up. That's the job, and that's my company.
Real Work Systems: https://t.co/BbpEPKnlH3
I also write The Easier Way, on running a business with less manual work: https://t.co/zL4OJsT5tU
@BatsouElef Iβm helping small business owners achieve their business goals.
Meanwhile, one of my AI operators is building a website to help men get better at looking sharp.
We heard you. And we agree.
In light of recent developments in physical media, GitHub is proud to announce that you can now obtain your public repo on CD-ROM.
Keep it. Lend it to friends. Pass it on to your children.
Your code is physically yours, forever. Until you lose it, let's be real.
Order yours today.
https://t.co/z041pdMH7h
Use your main agent as the operator/prompt creator.
Give it a goal prompt with a clear stopping condition. Then let it run a top-level control loop: βIs the goal done? If not, what workflow runs next?β
Each goal can trigger multiple workflows, where the output of one becomes the input of the next.
Each workflow can also have its own smaller verification loop: draft β check β fix β repeat until pass.
I was excited to let Fable5 run in @cursor_ai on one of my projects, and forgot to add my guardrails.. and ran out of usage quickly in one day. π€¦ββοΈ
Write your skills once, and share across agents and sub agents regardless of the harness or model.. yes itβs possible.
I have done it Claude code, Hermes and Codex all through different terminals
Put your skills in one location and preferably tracked by git.
Then a codex wrapper in
.codex/skills/<name>/SKILL.md
And a slash command for Claude in
.claude/commands/<name>.md
All pointing to your source of truth.
Lesson 30: The goal is leverage, not replacement.
The best AI workflows don't remove engineering judgment. They multiply it.
They make routine work faster, risky work more visible, and important decisions clearer.
Use agents to raise your bar, not lower it.