AI coding work control layer
AI coding comes with overhead.
Avorelo handles it.
Every AI coding session involves work you manage by hand: rebuilding context, checking scope, fixing drift, removing stale instructions, trimming wasted tokens, tracking what changed. Avorelo does this automatically, across the tools you already use.
How it works
Avorelo runs in three phases around every AI coding session. You keep using your tools normally.
1
Before the session
Avorelo prepares everything your AI tool needs
Before your agent starts, Avorelo compiles project context, removes stale instructions and noise, checks scope boundaries, and selects the right rules and skills for the task. Your AI tool gets a clean, relevant starting point instead of rebuilding from scratch.
Context compiled
Project state, file scope, and relevant history gathered automatically
Noise removed
Stale instructions, deprecated rules, and past-session artifacts cleared
2
While the session runs
Avorelo keeps work aligned and efficient
While you work with Claude, Codex, or Cursor, Avorelo watches for scope drift, keeps context lean, reduces wasted tokens where supported, and helps prevent repeated wrong turns. You get notified only when something needs your decision.
Drift caught early
Scope creep and risky file access flagged before they cause rework
Waste reduced
Repeated context blocks and redundant prompts trimmed where possible
3
After the session
Avorelo captures proof and carries forward
Every session produces a receipt showing what changed, what was checked, what was kept safe, and what needs review. Useful context carries forward so the next session starts with a better foundation, not from scratch.
Proof captured
Verifiable receipts of what happened, locally stored
Context carried forward
Next session starts where this one ended
What changes for you
You keep using Claude, Codex, or Cursor. Avorelo works in the background.
✓
Less manual setup. Context, rules, and scope prepared automatically before each run.
✓
Fewer repeated prompts. Instructions compiled once and reused. Stale ones removed.
✓
Less babysitting. Scope drift caught and handled. You focus on coding, not monitoring.
✓
Clearer proof. Every session produces a receipt. You see what was done before anything ships.
✓
Better continuity. Context carries forward. The next session does not start from scratch.
✓
No tool changes. Works alongside your existing AI coding tools. No new editor, no lock-in.
What Avorelo is not
Clear boundaries.
×
Not another coding agent. Avorelo does not write code. It handles the work around AI coding.
×
Not replacing Claude or Codex. It works with your tools, not instead of them.
×
Not surveillance. No raw prompts, no code exposure, no individual rankings.
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Not a heavy dashboard. Local-first background layer. Stays out of your way.
Why this matters
AI coding overhead is real and growing.
One bad session can waste more than Pro costs
Repeated context, scope drift, and stale instructions add up. A single unfocused session can burn hours and hundreds of thousands of tokens.
The overhead scales with usage
The more you use AI coding tools, the more overhead you absorb: more context rebuilds, more manual checks, more scattered proof.
Local-first proof makes value visible
After every session, you can see what Avorelo handled. No claims without evidence. Proof stays on your machine.
Privacy
Local-first. Core data stays on your machine. No raw prompts or code sent anywhere. No cloud sync required.
Honesty
No fake claims about what was handled. Every receipt is verifiable. Value is visible after every session.
Compatibility
Works with Claude Code, Codex, and Cursor. No workflow changes. No new editor. Setup is one command.
One prompt to get started
Copy the agent prompt into Claude Code, Codex, or Cursor. The agent detects your workspace, activates the right setup, and verifies everything works.
Terminal fallback:
npx -y avorelo@latest activate --scope project-wide --claim <your_token>Ready to try Avorelo?
Free gives you real optimization and proof from your first run.