Aimagutchi
Save an AI workflow. Rerun it with context.
Stop treating every successful run as a one-off. Capture it as a durable workflow asset.
The pain
- Winning prompts live in screenshots and random notes.
- Reruns require hunting and re-pasting setup.
- Teams cannot standardize what already worked.
Why chats & prompts fail
- Chats do not turn outcomes into owned assets.
- Prompt dumps lack execution history and memory binding.
- Without a template, “save” just means copy-paste later.
Persistent memory + playbooks
- Run a starter workflow with sample input in one click.
- See the run land in history with summaries.
- Save as skill / playbook and Run again from the workbench.
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.
Save your first workflowYour 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
- What gets saved?
- Memory items, run history (input/output summaries), and optional private skills that encode the playbook.
- Do I design a graph first?
- No. Day-7 focuses on one reusable template—graphs come later.
Stop rebuilding. Start compounding.
Create a free account, pick a starter, and see memory + history on your first run.
Save your first workflow