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How to eval agent skills

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

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

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?

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

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.

Bring your own AI subscription: a practical approach to token costs

Bring your own AI subscription: a practical approach to token costs

I started by bundling AI usage, token metering, and workflow in one product, then realized token billing was becoming its own business. Here’s why I’m testing a bring-your-own-AI-subscription model for PailFlow.