A practical operating guide for turning an LLM into a real teammate with memory, tools, guardrails, and enough structure to own recurring work.
Edition
v1.1
Length
55 pages
Updated
March 2026
Felixcraft guide
A practical playbook for turning language models into real operators with durable systems behind them.
What makes it different
Built for operators who want a real working system, not another prompt pack.
Focuses on ownership, memory, delegation, and rhythms that survive daily use.
Written to help teams ship faster without turning AI into a fragile side project.
Access
Instant after checkout
Format
PDF or ZIP bundle
Price
From $10
PDF Guide - 55 pages - Updated March 2026
This is the handbook for founders, operators, and product teams who want AI to do durable work. It covers how to define the role, shape behavior, design memory, wire tools, manage delegation, and keep the system useful after the novelty wears off.
Identity design: role, voice, scope, and the documents that shape behavior.
Memory architecture that separates durable context from disposable task state.
Tool access and delegation patterns for multi-step execution.
Guardrails, trust ladders, and autonomy rules that scale with usage.
Daily operating rhythms for handing work to AI without micromanaging it.
Copy-and-adapt templates for getting from idea to working setup faster.
Package range
A practical playbook for turning language models into real operators with durable systems behind them.
Collector notes
Choose the lean PDF, the reusable toolkit, or the full operating bundle with audit checklists.
Edition
v1.1
Length
55 pages
Updated
March 2026
Choose your package
All packages are one-time purchases with instant download access. Start with the guide alone or buy the reusable docs and checklists that compress setup time.
Lean start
The standalone field manual for teams that want the operating model first and will build their own docs around it.
Included files
Best for
Best value
The guide plus the reusable operating docs most teams need to get their first serious AI operator live quickly.
Included files
Best for
Full system
Everything in Toolkit, plus the operational checklists you can run before launch and during weekly reviews.
Included files
Best for
What's inside
The guide is organized around the decisions teams actually face once they move beyond demo-level AI adoption.
01 - 02
How to define the job, ownership boundaries, and output standards so the AI behaves like an operator instead of a toy.
03 - 04
The files, voice rules, and behavioral constraints that make the system feel consistent and easier to trust.
05 - 06
A practical breakdown of what to store, what to forget, and how to prevent context from collapsing over time.
07
How to connect tools, define permissions, and design agent-readable surfaces so the AI can complete tasks instead of just discussing them.
08
Patterns for sub-agents, handoffs, parallel work, review specialization, and escalation without losing control of quality.
09
Where to put hard boundaries, where to allow autonomy, and how to expand responsibility safely.
10
Daily and weekly rhythms, scorecards, audits, and failure recovery patterns for keeping AI useful in live operations.
Templates
Role briefs, contracts, memory policies, tool templates, trust rubrics, and launch checklists you can adapt directly.
Get the guide, adapt the operating model to your stack, and skip another month of trial-and-error architecture.
