Free Resources
Checklists and frameworks you can use today
The same passes I run on client work — security, debugging, automation ROI, and prompting. Free to read, no email required.
A practical framework for getting higher-signal answers from AI on product, code, and system design work.
- Use a short warm-up before asking the main question.
- Structure prompts so the model sees constraints before implementation.
A free companion checklist for the Amazon book, focused on debugging AI-generated code, adding tests fast, and avoiding brittle shipping habits.
- Triage the bug before asking AI for a fix.
- Preserve a failing test or repro before editing code.
A practical security pass for AI apps covering auth boundaries, secrets, prompt abuse, and data exposure.
- Audit secrets handling and environment exposure.
- Check role boundaries across APIs, tools, and admin surfaces.
A production-focused debugging sequence for isolating failures in AI features, APIs, prompts, and workflows.
- Separate model failure from application failure first.
- Capture exact prompts, inputs, outputs, and timestamps.
A simple framework for estimating the cost of manual work and the savings unlocked by targeted automation.
- Estimate the weekly cost of repetitive work.
- Model realistic automation efficiency instead of idealized savings.
A compact field guide for shipping more reliable AI features without wasting time on shallow prototypes.
- Start with the failure modes, not the demo.
- Choose the smallest architecture that can survive real traffic.