Introducing Behind the Craft: My Personal AI Operating System for Busy People

2024-12-11 · Source: Behind the Craft · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Project & Product Management · Depth: Intermediate, short

Summary

Behind the Craft is a newly launched personal AI operating system designed for paid subscribers, aiming to be a practical AI membership. It provides 10 hand-crafted AI skills for personal tasks (e.g., Personal Advisor, Health Coach, Weekend Planner), product development (e.g., Strategy Writer, Spec Writer, Exec Reviewer), and content creation (e.g., Social Writer, Infographic Designer, No AI Slop). Subscribers also receive 3-6 months free access to AI tools like Wispr Flow, Granola, Replit, and Linear, valued at \$270, plus 20+ personal prompts and an invite to a 700+ member Slack community. The system's skills are developed through a 5-phase process involving identifying repetitive tasks, separating instructions from personal context, enabling AI to gather context via questions, using sub-agents for testing and evaluation, and manual refinement. Future updates will include builder skills and a full personal OS for Hermes/OpenClaw and Codex/Claude Code.

Key takeaway

For AI Product Managers or Creative Technologists seeking to build effective custom AI tools, consider adopting a structured skill development process. You should identify repetitive tasks, separate instructions from personal context, and integrate AI-driven context gathering. Crucially, implement sub-agent testing and manual polishing to ensure high-quality, reliable AI outputs, moving beyond generic prompts to create truly personalized and practical AI assistants for your team or clients.

Key insights

A structured approach to developing and curating practical AI skills emphasizes personalization and iterative refinement.

Principles

• AI skills benefit from personalization and context.
• Iterative testing improves AI skill reliability.
• Manual refinement is crucial for quality AI output.

Method

A 5-phase process: identify repetitive tasks, separate instructions/context, enable AI to ask questions, use sub-agents for testing/evals, and manually test/polish skills.

In practice

• Create personalized AI advisors for specific needs.
• Develop AI tools for product strategy and spec writing.
• Use AI to refine content and remove "AI slop".

Topics

• AI Skill Development
• Prompt Engineering
• Personal AI Systems
• AI Productivity Tools
• Content Creation AI
• AI Workflow Automation

Best for: Prompt Engineer, AI Product Manager, Creative Technologist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Behind the Craft.