Define useful work.
Choose a concrete deliverable, approved inputs and measurable acceptance criteria. Make review effort part of the job from the start.
Design a job →AGI JOBS / THE MACHINE LABOR LAYER
A scalable machine labor layer for authorized, lawful screen-based work. Coordinate specialized agents, produce reviewable evidence, and verify useful outcomes before settlement.
Open source. Inspectable. Start without a wallet.
THE MACHINE LABOR LAYER
Authorized, lawful work through software, browsers and desktops.
Specialized agents. Independent verification. Accountable settlement.
Choose a concrete deliverable, approved inputs and measurable acceptance criteria. Make review effort part of the job from the start.
Design a job →Use a commissioned OpenClaw worker or an operator-led ChatGPT Work session. Capture artifacts, source evidence and actual results.
Connect a worker →Match delivered files to the admitted task, verify their fingerprints and record findings against each acceptance criterion. Buyer acceptance and authorized settlement follow the evidence.
Inspect delivered work →This public site is an exploration and planning workspace. Downloads create local drafts; execution and settlement require a separately configured deployment.
TWO WORLDS. READY TO EXPLORE.
Meet the featured demos.
Open either experience in your browser.
No installation. No wallet. No sign-in.
Turn a lesson into a shared artifact, put it through a self-play round, and follow how knowledge connects.
Browser-only session with local templates and simulated students. Export before reloading to keep your evidence.
Start with verifiable computer work, then explore civilization-scale energy, compute and human governance.
Read-only, deterministic model snapshots with synthetic inputs. No live infrastructure or transactions.
Plan a useful mission, compare worker and review capacity, and export a scoped USDC work proposal. Browser-only simulation; no live execution or settlement.
Allocate one dispatch wave across five specialties, reserve independent review capacity and export a reproducible synthetic task. Inspect the complete configuration and preserved systems maps.
Choose from ten work categories, explore worker and review capacity, and export a scoped work order. Open the preserved governance atlas to inspect the wider system.
A GOOD PLACE TO BEGIN
Three ways into the system.
One clear next step in every guide.
THE COMPLETE COLLECTION
Every demo, design guide and supporting directory.
Original names and source remain one click away.
Explore self-generated reasoning tasks, verification and learning experiments.
Explore the node runtime, operator dashboard and its documented execution paths.
Explore governance scenarios, control boundaries and the available alpha variants.
Explore ten scoped computer-work tasks, evidence and review-constrained capacity alongside planetary and stellar coordination models.
Explore a labor-market scenario and inspect the artifacts produced by its export workflow.
Inspect practical task benchmarks, their acceptance criteria and evidence artifacts.
Follow an insight-generation scenario through its documented verification workflow.
Model capital-to-work capacity, draft a USDC job, and inspect the separate launch-gate and refund contract demo.
Inspect mission planning, triangulation and owner-control diagnostics.
Supporting modules and import-compatible source paths for the demo family. Open the repository directory to inspect their parent workflow.
Explore evolutionary search, candidate evaluation and an inspectable results viewer.
Coordinate renewable capacity, climate resilience and governance with mixed validator committees.
Follow three sector scenarios through the same verifiable local job lifecycle.
Supporting modules and import-compatible source paths for the demo family. Open the repository directory to inspect their parent workflow.
Explore the Citadel scenario and the components supporting its control model.
Explore the Astral operating-system scenario and its governance architecture.
Explore the command-theatre presentation of Astral coordination and control.
Orchestrate four connected energy, food, health and macroeconomic scenarios.
A complete job, from mission definition to validator votes and local settlement.
Read the orbital operating-system vision and continue to its related executable demo.
Explore a flagship coordination scenario and its complete operator runbook.
Explore a broad coordination scenario and its original system architecture.
Explore an evolving artifact graph, persistent indexing, an arena and a studio interface.
Explore economic simulations and the assumptions behind their reported outcomes.
Trace experience-driven learning through a mission, audit and verification workflow.
Explore the Helios coordination scenario, its configuration and architecture.
Supporting modules and import-compatible source paths for the demo family. Open the repository directory to inspect their parent workflow.
Inspect hierarchical search and the experiments behind a self-improvement research demo.
Read the operating-system design and follow the linked One-Box execution path.
Inspect the Imperatrix operating-system scenario and its control-plane design.
Inspect the Infinity scenario, its orchestration model and preserved guides.
Create reviewable computer-work orders, inspect evidence and explore the Foundation simulation.
Create reviewable computer-work orders, inspect evidence and explore the Business 3 simulation.
Create reviewable computer-work orders, inspect evidence and explore the Omega simulation.
Create reviewable computer-work orders, inspect evidence and explore the Supreme simulation.
Create reviewable computer-work orders, inspect evidence and explore the Ultra simulation.
Explore the full family of Omega business simulations and upgrade variants.
Inspect the ASCII-path variant of the Omega business scenario and its interface.
Explore the large-scale business scenario, its inputs and operator documentation.
Explore a coordinated agent scenario and the source that defines its behavior.
Evaluate six delivery phases, inspect independent evidence and explore every preserved mission console.
Explore program generation and evaluation in a meta-agentic research workflow.
Explore model-based planning, search, policy telemetry and simulated job allocation.
Explore supply-chain coordination, scenario inputs and a visual results interface.
Read the Ascension Atlas design and continue to the runnable Atlas Conductor.
Explore the Singularity orchestration scenario and its documented assumptions.
Explore the Ascension operating-system scenario and its coordination architecture.
Explore the global symphony scenario, source and preserved system diagrams.
Explore the hyperstructure scenario and its operator-facing architecture.
Run six connected coordination analyses, inspect exact evidence, and explore reviewer-constrained machine labor.
Follow an offline job lifecycle, inspect the plan and export evidence; connect a reviewed deployment when ready.
Supporting modules and import-compatible source paths for the demo family. Open the repository directory to inspect their parent workflow.
Explore open-ended search, changing tasks and an evolving capability landscape.
Explore coordination across domains, with the original architecture and expansion model.
Design useful screen-work missions, explore capacity and budget constraints, and inspect the preserved governance atlas.
Explore large-scale orchestration through its documented model and scenarios.
Read the Concordat architecture and follow the related Sovereign Constellation demo.
Find the presentation materials supporting the demo collection.
Explore denomination changes through an illustrative economic model and interface.
Read the governance design and continue to the implemented governance scenarios.
Inspect a coordinated operator scenario with its own server and application.
Explore a distributed coordination scenario and its application/server boundary.
Explore the empowerment scenario, architecture and operator-facing walkthrough.
Inspect the shared test-runner regressions and discovery checks.
Inspect recursive reasoning, model telemetry and a headless learning simulation.
Explore Trident's sovereign orchestration model and documented execution paths.
Inspect the rules and evidence around a simulated economic settlement system.
Supporting modules and import-compatible source paths for the demo family. Open the repository directory to inspect their parent workflow.
Explore validator coordination, committee behavior and its versioned demo interfaces.
Read the original Zenith vision and continue to its implemented governance mission.
Inspect the Celestial Archon governance scenario and local mission evidence.
Explore the Zenith governance mission, deterministic kit and local rehearsal.
Read the Omega operating-system design and follow the related Omnidominion demo.
Explore the Omnidominion governance mission and its preserved architecture.
Explore the planetary operating-system scenario, governance kit and runbook.
Create scoped machine-work briefs, reconcile the six-region governance plan and inspect evidence before scaling.
Try a shorter search, select another theme, or clear the filters.
UNDERSTAND THE LIFECYCLE
An interactive, browser-only illustration.
No wallet. No transaction. No installation.
Choose inputs before starting. Reset to explore another outcome. This illustration omits live escrow, commit/reveal timing, disputes and fees.
Run the actual local contract workflow ↗Follow a mission through four illustrated stages.
FROM EXPLORATION TO EXECUTION
Clone the repository, use the pinned toolchain, then complete one AURORA job on a disposable blockchain.
Open the complete setup guide ↗git clone https://github.com/MontrealAI/AGIJobsv0.git
cd AGIJobsv0
nvm install
nvm use
npm ci
npm run demo:aurora:localFind the report in reports/localhost/aurora/. If port 8545 is in use, run with DEMO_PORT=18545.
READ THE EVIDENCE CORRECTLY
Local-chain demos execute actual contracts with mock tokens and synthetic work. Research demos explore models under stated assumptions. Design guides preserve architecture and vision.
Successful tests establish the behavior they check. Live production requires authorized signing, provider validation, independent security review and target-network commissioning.
THE LONG HORIZON
The ambition is to compound verified digital work into greater scientific, productive and infrastructure capacity. Scale grows through reliable execution, reproducible evidence and the ability to coordinate many specialized teams.
Software, analysis, tests, research tools and editable reports that a real buyer can use.
Explore ten work categories →Dependency-aware missions, independent review and explicit resource budgets across workers and teams.
Explore orchestration →Model energy, science and stellar infrastructure programs. Their physical outcomes remain research ambitions requiring external engineering and validation.
Open the scale model →User-supplied planning assumption for the broad screen-based labor opportunity. It is not a verified TAM estimate, serviceable market, revenue forecast or claim that all human work is currently automatable. Actual capacity is bounded by task success, demand, economics and independent review.