Permissioned AI workflow data

Get paid for the work you're already doing with AI.

You run agents all day and every bit of that value stays with the platforms. Turnset captures the sessions you start, shows you every trace on the web, and pays you for each one that's kept.

See what's captured

This phase: GitHub or Google sign-in · macOS · terminal agents · personal, OSS & sandbox work · paid participation opens in the US first

Trace TS-0000481
Agent
claude code · sonnet
Captured
47 min · 61 tool calls · 4 files
Work
bug fix in a personal repo
Rights
yours · personal project
Scrubbed
2 secrets, 1 path
Your turns
23
Your tokens
8,412
Quality
verified outcome · tests pass
Window
closed - 24h after capture
Status

Illustrative example - not real contributor data

Opt-in per session 24 hours to exclude any trace Paid per trace, not on a sale Vendor neutral

Scope

What leaves your machine, and what never does.

Turnset runs only for the session you explicitly start. It is not a background daemon, and it is not watching the rest of your computer.

Captured in a started session

  • Your prompts and the agent's responses
  • Tool calls: edits, shell, search, file reads
  • Diffs and the files the session touched
  • Outcome signals: tests, exit codes, retries
  • Model, agent, and timing metadata

Never captured

  • Anything outside the session you started
  • Keystrokes, screen, clipboard, browser
  • Other terminals, other apps, other repos
  • Secrets and tokens - scrubbed before packaging
  • Your identity in any licensed dataset

Contribute personal, open-source, or sandbox work only. Not employer or client code, and nothing under an NDA. The rights have to be yours to give, or we can't license it and you shouldn't offer it. This is the tightest rule in the pilot and it's deliberate.

Setup

Two commands, then your normal workflow.

Install

One binary. macOS in the first build.

curl -fsSL https://turnset.ai/install | sh

Start a session

Your agent, launched through Turnset.

turnset start <claude|codex|cursor|opencode|openclaw|hermes>

Work as usual

Same agent, same models, same habits. Traces from the session show up in your dashboard on the web.

turnset.ai/traces → 3 new traces · 24h to exclude

There is nothing to install yet. This is what setup will look like. The first macOS build goes to the earliest phase, and the list is how you get into it.

There is nothing to finalize by hand. Every trace sits in your dashboard for 24 hours. Exclude any of them in that window and they're gone; leave them alone and they finalize on their own and pay out. Checking in is optional, not homework.

Pilot boundaries

Region
United States
Platform
macOS
Environment
Terminal agents
In scope
Personal, OSS, sandbox
Payment
Per trace + join bonus
Exclude window
24h, then auto-finalize

Working in an app like Claude or ChatGPT, or in VS Code or Cursor? Join anyway - those environments come after this phase, and the list is how we decide the order.

Demand

Why anyone pays for this.

AI performance is limited more by data quality than model size, and organizations now care as much about provenance, rights, and governance as they do about volume. Permissioned datasets with documented lineage are scarce. Turnset packages and licenses them, and that revenue is what funds contributor payments.

  • Model development
  • Evaluation
  • Reinforcement learning
  • Agent benchmarking
  • Product research
  • Academic research
  • Enterprise AI

Questions

The things people actually ask.

Who is this for?
Developers and power users who work with AI every day. The first cohort covers terminal agents: Claude Code, Codex, OpenCode, OpenClaw, Hermes. Apps and editors come next.
Can I change my mind?
Every trace is visible in your dashboard for 24 hours after it's captured. Exclude any of them in that window and they're gone. Once a trace finalizes it can be licensed, and licensed data can't be retrieved - which is why the window exists.
Do I have to review anything?
No. Excluding a trace is optional. If you never open the dashboard, traces finalize on their own after 24 hours and pay out.
Why does paid access open in the US first?
Paying people for data carries different obligations in every jurisdiction. We'd rather open one region properly than all of them badly. Join from anywhere - the list is global, and we'll email when your phase opens.
Is my data anonymized?
It's privacy-preserved: secrets scrubbed, identifiers removed, packaging designed to avoid re-identification. We don't claim "fully anonymized" because no one honestly can.
Do I have to change how I work?
No. Turnset is vendor neutral and runs alongside the agents, models, and tools you already use.
How do I get in?
Join the list with your email, or sign in with GitHub or Google. Either works. Signing in verifies your address and puts you in this phase's preferred group, alongside macOS and terminal agents.
Why does signing in help?
It tells us the address is real and gives us a handle to recognise you by, which is most of what we need to open access in a sensible order. We read nothing else - not your repositories, not your profile.

Own the value of your AI workflows.

One list, opened in phases. Email is enough; signing in with GitHub or Google puts you further up this one.