01 - 02
Role design
How to define the job, ownership boundaries, and output standards so the AI behaves like an operator instead of a toy.
Flagship guide
How to Hire an AI That Actually Works
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
How to Hire an AI
A practical playbook for turning language models into real operators with durable systems behind them.
Felixcraft
Collector's copyv1.1
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
Collector PDF
Price
$10
Single product
PDF Guide - 55 pages - Updated March 2026
The operating playbook for giving AI a real job
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.
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Memory architecture that separates durable context from disposable task state.
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Tool access and delegation patterns for multi-step execution.
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Guardrails, trust ladders, and autonomy rules that scale with usage.
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Daily operating rhythms for handing work to AI without micromanaging it.
- →
Copy-and-adapt templates for getting from idea to working setup faster.
One-time price
$10Instant access after checkout
Felixcraftv1.1
PDF
How to Hire an AI
A practical playbook for turning language models into real operators with durable systems behind them.
Collector notes
Built like an operator field manual: clear sections, durable templates, and a layout worth keeping open beside your workflow docs.
Edition
v1.1
Length
55 pages
Updated
March 2026
What's inside
A playbook built around real operating questions
The guide is organized around the decisions teams actually face once they move beyond demo-level AI adoption.
03 - 04
Identity and behavior
The files, voice rules, and behavioral constraints that make the system feel consistent and easier to trust.
05 - 06
Memory systems
A practical breakdown of what to store, what to forget, and how to prevent context from collapsing over time.
07
Tooling and execution
How to connect tools, define permissions, and design agent-readable surfaces so the AI can complete tasks instead of just discussing them.
08
Delegation loops
Patterns for sub-agents, handoffs, parallel work, review specialization, and escalation without losing control of quality.
09
Safety and trust ladders
Where to put hard boundaries, where to allow autonomy, and how to expand responsibility safely.
10
Operating cadence and audits
Daily and weekly rhythms, scorecards, audits, and failure recovery patterns for keeping AI useful in live operations.
Templates
Worksheets and templates
Role briefs, contracts, memory policies, tool templates, trust rubrics, and launch checklists you can adapt directly.
Ready to turn AI into a real teammate?
Get the guide, adapt the operating model to your stack, and skip another month of trial-and-error architecture.