Improve the strategy.
Discover, test, combine and improve strategies. Keep alternatives, failed attempts and the reasons behind the next candidate.
SUCCESSOR Ω / THE FLAGSHIP
Bring a high-value business opportunity or a frontier mathematics question. Discover, test, combine and improve strategies at Level 3; challenge restrictive formulations at Level 4; and prepare the next bounded step for Computer Use. Keep the mission, methods and evidence you develop.
Start free · No account, wallet or API key
SUCCESSOR Ω / THE FLAGSHIP
Bring a high-value business opportunity or a frontier mathematics question. Compare and improve strategies, examine a different formulation and prepare bounded work for an agent using Computer Use. Keep the mission, methods and source evidence together.
Free mission planning · No account, wallet or API key
Discover, test, combine and improve strategies. Keep alternatives, failed attempts and the reasons behind the next candidate.
Explore a fundamentally different approach while preserving the outcome, evidence standards and constraints that actually matter.
Prepare an exact task for your own Computer Use runtime. Bring back the sources, work and unresolved verification obligations.
Start with a bounded mission and public, non-personal inputs. Execute through your own environment. A prepared mission is a starting point for real work; independent proof and demonstrated value still have to be earned.
TWO COMPLEMENTARY SYSTEMS
AGI Alpha Agent helps explore ideas and develop a plan. AGI Jobs gives a defined task its evidence, review and payment rules. Together, they can turn a selected idea into accountable digital work.
One shared $AGIALPHA token.
Two recorded Ethereum mainnet deployments, with 30 contract instances you can inspect.
YOUR ECOSYSTEM, AT A GLANCE
Start with the result you want. Each project has a different role, its own setup and its own evidence.
Develop an idea, compare plans and explore bounded local experiments.
Explore ideasPrepare a task and inspect evidence in the demo observatory and JobRegistry ecosystem.
You are here · explore the collectionPrepare a request and understand the separate USDC escrow, review and settlement process.
Prepare a requestPrepare a dedicated computer for execution and independent review. Qualify each installation.
Choose a computer setupTHE 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.
New to agent work? Try the guided introduction →
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.
Compare declared energy and compute allocations under an outage, protect reserves and inspect every deferred request.
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.
Inspect supplier artifacts, reported usage and unresolved evidence gates.
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.
Rehearse a dependency failure, retained work and the modeled cost of recovery.
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.
Inspect actual disposable-chain quorum receipts, mock stake penalties and fresh-committee recovery with unchanged policy.
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.
Trace supplied observations to acceptance criteria and dependency holds, with explicit evidence limits.
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.
Reconcile exact regional envelopes and supplied costs, keep unknowns visible and inspect unexecuted transfer proposals.
Inspect the Celestial Archon governance scenario and local mission evidence.
Explore the Zenith governance mission, deterministic kit and local rehearsal.
Inspect and recompute source-bound artifact checkpoints, resume browser-local work and reject failed independent reviews.
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.
SELECTED READING
Explore discovery, review and settlement in the $AGIALPHA ecosystem.
Selection & settlement
Understand the historical two-layer design that separates choosing a provider from the rules for delivering and settling the job.
English essay · LinkedIn
Explore the current guide: Selection & settlementTrials & demonstrated ability
Explore funded trials, candidate commitments and explicit judging before awarding the larger assignment.
English essay · LinkedIn
Explore the current guide: Trials & demonstrated abilityDiscovery & invention
Explore a market that allocates problems to capable solvers, pays for discernment and remembers what the work establishes.
English essay · LinkedIn
Explore the current guide: Discovery & inventionReview economics & ambition
Connect the cost of checking work with the longer-term possibility that productive intelligence could finance larger industrial ambitions.
English essay · LinkedIn
Explore the current guide: Review economics & ambitionEssays by Vincent Boucher · English originals on LinkedIn. Some describe earlier versions; current guides explain setup, payments and availability. LinkedIn may ask you to sign in.
This repository’s v2 contracts use $AGIALPHA. AGIJobManager is the separate USDC route. An essay or local demonstration does not establish a commissioned live service.
Reading notes and version context