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The Agent Playbook

The OperatorOS playbook for AI operators and founders: deploy autonomous agents, build infrastructure, ship every week.

AgileSingh By Raj Singh · Aug 2026

THE TELL

→You're shipping agents in isolation. Three apps, three contexts, zero shared memory. Every morning you re-explain the business.
→The big AI operators are running 10+ agents in parallel. You're bottlenecked by context-switching, not model capability.
→Half the 'AI playbook' content on the internet is recycled Twitter threads — no systems, no files, no install steps.

WHAT'S INSIDE

→
Three layers — spectator, tool user, operator — and how to know which one you are
→
Agent stack architecture: how the production AI team is wired end to end
→
The exact prompts and SKILLs that turn ChatGPT into a deployable system
→
The community + library setup that compounds week over week

BUILT FOR

Built for AI operators and founders running production stacks — the ones shipping agents, automations, and infra every week and tired of half-finished tutorials. If you already have a venture, this drops straight into your stack. If you're building one, this is the operating system behind the curtain.

UNLOCKS WITH YOUR EMAIL

01agent-roster.md4.2 KB

02CLAUDE.md2.1 KB

03launch-checklist.md1.8 KB

04stack-diagram.png46 KB

05SKILLs.md3.4 KB

06weekly-cadence.md1.2 KB

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One email. No follow-up unless I ship something that fits.

The Agent Playbook is the operating system behind every agent I've shipped in production. Not theory, not a Twitter thread — six files that turn a single Claude Code instance into a deployable, reviewable, repeatable agent system.

STEP 01

The three layers: spectator, tool user, operator

Spectators prompt ChatGPT and copy-paste the answer. Tool users wire agents into one app. Operators run 5+ agents in parallel across the stack, with shared memory and weekly shipping cadence. The playbook is for operators.

WRITTEN BY

Raj Singh

Operator running four ventures across NZ and AU. I ship Claude Code agents, AI infra, and automations in production every week — and write up what actually works so you do not have to burn weekends on it.

40+

AI Deployments

Ventures

Guides Shipped

Yrs Operating

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agilesingh

AI systems for founders. Built in production, taught in public. Currently scaling DebtOps.ai.

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