Aimagutchi
Reusable AI playbooks that compound
A playbook is more than a prompt: it is a named, runnable approach your agent keeps and improves with use.
The pain
- Best runs never become the default next time.
- Prompt libraries are static; agents do not “own” them.
- You cannot measure reuse or continuity.
Why chats & prompts fail
- Static libraries do not inject into a living agent runtime.
- Without usage and history, playbooks stay theoretical.
- Builders need Run—not another folder of markdown.
Persistent memory + playbooks
- Private skills with usage counts and one-click Run.
- Starter playbooks seeded for research, content, and coding.
- Living cues when a skill runs—proof the agent used the playbook.
First win in minutes
Day-7 starters ship with seeded memory, sample history, and one reusable workflow—so you see continuity before you build from scratch.
Run a starter playbookYour starter
Atlas Owl is ready
Memory, work history, and one reusable workflow — no API keys required.
Saved memory
- Brief format preference
Verdict → evidence → next action
Work history
Compared three note-taking tools for long-term retrieval quality
Memory reused on last run
Verdict: prioritize visible history + reusable skills in week one…
Research brief workflow
Run sample35% fewer tokens vs baseline12 skills saved
FAQ
- Playbook vs prompt?
- A prompt is text. A playbook is bound to an agent, runnable from the workbench, and tied to memory and history.
- Marketplace required?
- No. Private playbooks work on Free; community marketplace is later/paid depth.
Stop rebuilding. Start compounding.
Create a free account, pick a starter, and see memory + history on your first run.
Run a starter playbook