PLAYBOOKS
What operators actually automate.
Each playbook is the condensed version of a pipeline we run ourselves — the pain it solves, the steps, and the kit that runs it.
Automate code review with AI agents
Code review is the highest-leverage place to put an agent: the work is bounded, the quality bar is checkable, and every catch compounds. Don…
READ THE PLAYBOOK →
Debug production issues with AI agents
Agents are strongest at debugging when they're forced to be systematic: reproduce, isolate, hypothesize, verify. Left unprompted they guess-…
READ THE PLAYBOOK →
Build programmatic SEO sites with agents
Programmatic SEO is a pipeline problem, and pipelines are what agents do best: keywords in, topical map out; briefs in, pages out; pages in,…
READ THE PLAYBOOK →
Get cited by ChatGPT, Perplexity & AI Overviews
Roughly 40% of searches now end in an AI-generated answer. The sites that win aren't the ones that rank #1 — they're the ones AI systems quo…
READ THE PLAYBOOK →
Automate cold outreach without burning your domain
Cold outreach automation fails when it scales the wrong thing: volume instead of relevance. Agents flip the equation — they can research eve…
READ THE PLAYBOOK →
Run a one-person content pipeline with agents
One good idea should become seven assets: article, thread, LinkedIn post, video script, newsletter, Reddit answer, and an SEO page. Agents m…
READ THE PLAYBOOK →
Design agent personas that actually follow instructions
The gap between a chatbot and a colleague is instruction design. Persona files — identity, values, operating rules — are what keep an agent …
READ THE PLAYBOOK →
Sell digital products with built-in distribution
The product is the easy half. Digital products die from silence, not competition — the sellers who win treat distribution as part of the bui…
READ THE PLAYBOOK →