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Behind the scenes, tutorials, and work in progress from Lunch Pail Labs

The Building Blocks of AI Agent Systems
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The Building Blocks of AI Agent Systems

I simplified my stack into clear building blocks so commands, skills, subagents, question gates, and review inboxes work as one system instead of disconnected prompts.

How to eval agent skills
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How to eval agent skills

I stopped manually spot-checking skill edits and moved to a fixed eval loop. The result was faster revisions, clearer failures, and more trustworthy agent behavior.

Start With Schedule-Based Work Before Agent Swarms
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Start With Schedule-Based Work Before Agent Swarms

There is a lot of noise around self-flying agent systems right now. I got faster, cleaner leverage by scheduling repeatable work first and reviewing outputs on cadence.

How I turn agent sessions into workflow improvements
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How I turn agent sessions into workflow improvements

One of the most useful parts of working with AI agents is not just faster execution. It is the ability to review the work after the fact, spot patterns, and turn those patterns into better systems.

What is an llms.txt and how do you write one?
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What is an llms.txt and how do you write one?

An llms.txt file gives AI systems a clean source of truth about your product. This guide explains what it is, why it matters, and how to write one using the exact structure from PailFlow.

PailFlow is now sponsored by E2B for Startups
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PailFlow is now sponsored by E2B for Startups

PailFlow is sponsored by E2B for Startups. Here is what that support unlocks for our agent infrastructure and delivery workflows.