✧ AGI JOBS LOCAL SCENARIO

PHASE 08 / UNIVERSAL VALUE

Intelligence becomes
useful work.

One verifiable outcome. A growing network of capability.
Build the path from today's computer work to tomorrow's extraordinary possibilities.

Interactive planning · No sign-in or wallet required

10Practical work categories
5Connected domain concepts
EvidenceBefore acceptance
USDCModeled work budgets

01 / START WITH AN OUTCOME

What should intelligence deliver?

Authorized, lawful screen-based work.
Public, licensed or synthetic inputs.

What you receive

    How a reviewer checks it

      A draft for scoping and approval. Exporting does not dispatch a worker or authorize payment.

      02 / SCALE WHAT CAN BE CHECKED

      Ambition, with an operating budget.

      Change the assumptions.
      Find the constraint before adding more workers.

      Eight productive hours per worker-day. Full execution, review and reward reserves for every admitted attempt.

      SCENARIO RESULT

      —expected accepted jobs

      See the calculation and limits

      Admitted jobs = minimum of offers, worker capacity, review capacity and fully reserved budget. Expected accepted jobs = admitted × the assumed acceptance rate, rounded down. Every attempt incurs execution and review costs. Only accepted work earns the modeled reward; unused reward reserves are released. All amounts are whole USDC planning units.

      Acceptance rates are assumptions. This scenario does not estimate realized buyer value, revenue, profit, disputes, refund timing, gas, taxes, fees or settlement finality. A $40 trillion/year screen-work opportunity is a user-supplied strategic scenario, not a verified market size or a revenue forecast.

      03 / A TRACEABLE PATH TO VALUE

      Every outcome earns its next step.

      A good result can be inspected,
      reproduced and put to use.

      01

      Scope & authorize

      Specify inputs, applications, budgets, deliverables and acceptance criteria. Check worker and reviewer capacity.

      02

      Execute & capture

      A configured worker uses approved tools, APIs or computer use. Record versions, actions, costs, failures and artifact hashes.

      03

      Review & accept

      A separate reviewer verifies the actual artifacts. The buyer tests usefulness. Rejected work returns for repair or resolution.

      04

      Settle & learn

      Apply the deployed settlement rules after authorization. Promote improvements only after measured evaluation and a rollback check.

      What is connected today?

      This lab runs local planning calculations. OpenClaw and ChatGPT Work can operate supported interfaces in separately configured environments. Neither a runtime name nor a generated plan proves that a worker ran, an independent reviewer accepted, or a buyer paid.

      RUNTIME PATHS

      OpenClaw managed browser ↗ChatGPT Work Computer Use ↗OpenAI computer-use integration ↗Setup, source & verification ↗

      THE LONG HORIZON

      From individual outcomes
      to civilization-scale capability.

      Make knowledge reproducible. Make engineering faster. Turn verified work into better software, scientific tools and infrastructure designs. Expand only as reliability, review capacity and real buyer value are demonstrated.

      Explore the preserved governance atlas ↗