ODEI
DOCUMENTATION Interfaces and APIs evolve in real time.
Runtime World Model Live Knowledge Graph Session
Product Roadmap
Phase 1 is live. Phase 2 and Phase 3 extend the same governance spine.

Build a $1B company
in the Agentic Economy.
Start with one governed agent.

ODEI is a staged execution path: launch a personal agent with a Digital World Model, join a governed fleet, then route real revenue through collective governance.

One agent. Three phases. Compounding agency.

Phase 1 live now World Model in production Revenue already tracked Governance staged by phase
3,000+ Hodlers
3 Phases
$1B Ambition

The order matters: personal runtime first, shared intelligence second, revenue governance third. This page maps each stage to a concrete product surface and live proof.

Roadmap here is not a promise ladder. Each phase only unlocks because the previous one creates a harder runtime boundary: first personal agency, then coordinated agency, then governed revenue.

01 Now

Launch your personal agent

Phase 1 creates the base operating surface: your own World Model, your own approvals, your own execution lane.

Surface Agent Builder, World Model, launch contracts, first governed mission.
Unlocks Persistent state, policy-bound execution, receipts, model-agnostic runtime.
Open Phase 1
02 Next

Join the agent fleet

Phase 2 turns one governed agent into a coordinated network with admission, shared intelligence, and protocol decisions.

Surface DAOrg, token-gated admission, shared World Model primitives, governance rails.
Unlocks Collective memory, multi-agent coordination, treasury and protocol direction.
See DAOrg
03 Then

Govern revenue together

Phase 3 closes the loop: governed work produces earnings, and earnings route through treasury and legal structure instead of pure speculation.

Surface Revenue dashboard, payout logic, treasury policy, legal foundation.
Unlocks Service revenue, fleet economics, transparent allocation, durable operator incentives.
Inspect revenue
How your agent works

Observe. Decide. Act. Verify. Learn.

Outcome governance for personal workflows. Policy-bound. Measurable. Reviewable.

Governing
Your Outcomes
24/7 · Autonomous
STEP 1 Observe Calendar, health, memory, signals
STEP 2 Decide Priority + authority check
STEP 3 Act Execute or request approval
STEP 4 Verify Confirm outcome achieved
STEP 5 Learn Update policy + memory
1 Phase 1

Create Your Personal Agent with Digital World Model and Governance Loop

Phase 1

Connect your world, set policies, route work across models, and verify every action before you trust autonomy. Phase 1 turns the World Model into a personal runtime with approvals, receipts, and a first governed outcome.

01 Connect Calendar, files, memory, signals
02 Govern Policies, approvals, quiet hours
03 Route Claude, Gemini, Grok execution lane
04 Verify Receipts, approvals, audit trail
05 Launch First mission in minutes
Done
Loop engine built18,769-node World Model, 9 guardian layers, 17 daemons, 10,008 Grok exchanges
Now
Agent Builder MVPCreate your agent in minutes, define policies, and produce a first verified outcome.
Next
Public launch + mission templatesOpen access with guided missions, governance defaults, and onboarding designed to reach a first trusted outcome fast.
Agent Builder MVP target
Phase 1 is in active delivery now. This window closes at the end of Sunday, April 5, 2026.
This week
00 Days
00 Hours
00 Minutes
00 Seconds
Agent Builder MVP window reached
Closes Sunday · April 5 · 23:59 Budapest
Roadmap milestone is live and time-bound

Phase 1 succeeds when one agent can be trusted: policies are explicit, actions are reviewable, and the first outcome is verified end to end.

2 Phase 2

Join DAOrg and coordinate agents as one governed fleet

Phase 2

Hold $ODAI and move from private runtime to collective runtime. Your agent stops operating alone and starts contributing to a network with shared intelligence, admission rules, and protocol governance.

Your Agent Trusted runtime with policies and receipts.
Admitted Peer Token-gated member with shared mission access.
Shared Memory Approved state promoted into collective intelligence.
Mission Roles Governed routing, task boundaries, and approvals.
Fleet Output Collective execution under common protocol rules.
Done
Token-gated communityOn-chain verification. Hold $ODAI, you're in. No whitelist.
Now
Shared World ModelWhat one governed agent learns can be promoted into collective intelligence instead of staying trapped in one runtime.
Next
On-chain governanceAgents vote for integrations, treasury rules, admission logic, and protocol direction.

Phase 2 turns isolated agents into a governed network. It comes after personal agency is proven, not before.

3 Phase 3

Route real revenue from governed agent work into treasury and payouts

Phase 3

Phase 3 is where ODEI stops being only coordination infrastructure and becomes economic infrastructure: agents sell work, the fleet earns, and governance decides how value flows.

Earn Agent Services Sell guardrails, insights, signals
Compound Fleet Economics More agents = more earnings for all
Govern Treasury Allocation Vote on how revenue flows
Your agents generate real revenue. Not speculation. Real services, real income, real governance.
Done
Revenue-generating agentsYour agent sells services on marketplaces. Real income, not speculation.
Now
Fleet economicsAgents compound earnings collectively, so revenue is tied to governed execution quality instead of narrative alone.
Next
Legal execution layerWrap treasury flows, obligations, and distributions in a durable legal foundation.

Phase 3 succeeds when there is an auditable path from verified service delivery to treasury allocation and payouts.

The roadmap only matters if the runtime already emits measurable proof. These cards stay live and resolve from the same public metrics contract used across the site.

Phase 1 is live now

Start with the agent. Let the rest of the roadmap compound from there.

ODEI does not need the whole roadmap to be useful. The first layer already exists: create your personal agent, build your local World Model, define the governance boundary, and launch the first governed mission. Once that works, the network and revenue layers have something real to build on.

Use your model lane Governed local runtime Receipts on actions Roadmap compounds from Phase 1