AI agents that do real work
Instructions, boundaries, approvals, tools, evidence, and workflows that go beyond a response box.
One practical lesson each week for people building with AI, software, data, automation, and modern product tools.
The newsletter gives you a useful starting point. Launch Studio adds maintained kits, private workspaces, version history, health reviews, and guided implementation.
Topics connect the decisions that are often explained separately, so you can see how the repository, database, hosting, email, payments, AI, QA, and operating process work together.
Instructions, boundaries, approvals, tools, evidence, and workflows that go beyond a response box.
Turn an idea into a specification, repository, working build, QA evidence, and a maintainable release.
PostgreSQL, DBeaver, Supabase, Power BI, Excel, Power Automate, canonical records, and reliable metrics.
Code review, Playwright, regression checks, smoke tests, UI refactoring, status reporting, and operational controls.
Every issue should help you make a better decision or complete a small piece of work. Paid content adds depth, saved work, maintained templates, and implementation support.
A practical sequence for GitHub, PostgreSQL, managed hosting, transactional email, payments, OpenAI, security, and release evidence.
How to define authority, scope, tools, expected output, approval points, evidence, and acceptance criteria across Codex, Claude, Copilot, and Copilot Studio.
Start with everyday language, identify assumptions, generate an editable spec, and preview a responsive concept before development begins.
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