A practical operating guide for turning an LLM into a real teammate

Felixcraft is a specialized platform designed for founders, operators, and product teams who want to move beyond "AI as a toy" and transition into "AI as a teammate." Unlike typical AI blogs that focus on viral prompts or surface-level news, Felixcraft provides a rigorous, architectural approach to turning Large Language Models (LLMs) into reliable organizational assets. The Flagship Product: "How to Hire an AI" The centerpiece of the site is the Felixcraft Guide (v1.1), a 55-page practical playbook titled "How to Hire an AI That Actually Works." Priced at a one-time $10 fee, this collector’s PDF serves as an operational field manual for building durable AI systems. Key modules within the guide include: Role & Identity Design: Moving past generic personas to define specific scope, voice, and ownership boundaries. Memory Architecture: Strategies for separating "durable context" (long-term knowledge) from "disposable task state" to prevent system collapse. Tooling & Delegation: Designing "agent-readable surfaces" so AI can execute multi-step workflows rather than just discussing them. Trust Ladders & Guardrails: Establishing safety protocols and autonomy rules that scale as the AI proves its reliability. Operating Rhythms: Implementing daily and weekly audits and scorecards to ensure the AI remains useful long after the initial novelty wears off. Why It Stands Out Felixcraft differentiates itself by focusing on systemic durability rather than "prompt engineering." It treats AI as a new type of employee that requires a proper "onboarding" process, including: Worksheets & Templates: Ready-to-use role briefs, contracts, and memory policies. Operator-First Language: Written for people who prioritize throughput, quality, and operational fit over hype. Real-World Scalability: Focuses on how to hand off work without the need for constant micromanagement. Summary For teams looking to skip months of trial-and-error, felixcraft.pro offers a high-signal, low-noise blueprint. It is the go-to resource for anyone serious about building an AI workforce that can own recurring work, maintain consistent memory, and integrate seamlessly into a professional production environment.

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