META-AGENTIC α–AGI / INTERACTIVE RESEARCH LAB
From a spark.
To an ecosystem.
Discover the opportunity. Design the plan. Follow the value.
Explore the white paper as a working, inspectable system. Algorithms and encryption run here; funding and governance are explicit protocol simulations.
Choose your mission ↓Loading the scenario library…
01 / INSIGHT
Find the best next move.
Explore competing opportunities. Change the assumptions and see which projects make the cut.
The opportunity landscape
Cost × assumed benefitSelected for this portfolio Other opportunities
The search maximizes the supplied benefit scores within budget and risk limits. These scores are assumptions, not measured gains or forecasts.
02 / NOVA-SEED
An idea. Encapsulated.
Your selected opportunities, sources and executable mission inputs become one portable FusionPlan.
NOVA-SEED GENOME
Run Insight to prepare your seed.
AES-256-GCM · SHA-256 COMMITMENTInspect the genome before sealing
Recover a saved Nova-Seed
03 / MARK
Give the plan momentum.
Explore a transparent funding curve. Each new lot costs a little more; redemption reverses the exact curve before execution.
The Nova-Seed funding curve
Next lot = 1 + 0.25 × outstanding lotsNo wallet, purchase or transaction is involved. The sandbox uses exact 18-decimal arithmetic and one modeled funder. These lots are accounting units, not tradable securities or a claim on real $AGIALPHA.
04 / SOVEREIGN
Make the work executable.
Research, delivery, verification. Every selected project has dependencies, a resource lane and a place in the schedule.
Your FusionPlan
Scenario time unitsTake the plan into your agent.
Download native mission inputs. The local operator can execute these same bounded tasks, sign the results and keep a durable journal.
05 / VALIDATOR COUNCIL
Show the work. Trace the value.
Two distinct mechanical checks review the plan. You decide whether to accept the scenario outcome and model settlement.
These are budget and capacity checks in one browser, not independent human validators, formal proofs or confirmation of real-world delivery.
06 / ARCHITECT
A better next cycle.
Change the budget and risk policy. Compare the trade-offs. Choose a new portfolio deliberately.
Complete settlement to inspect the reservoir.
Unspent escrow and the modeled treasury remain visible. Workers’ payouts are not automatically recycled.
The policy frontier
Cost, risk, duration and assumed benefitThis is a reproducible search over your supplied assumptions. It does not train a model, establish future returns or prove that successive cycles improve real-world performance.
THE GOVERNANCE OBSERVATORY
Put the mathematics in motion.
Explore the paper’s incentives and controls. See the calculated outcome, including cases where cooperation does not converge.
Strategy dynamics
Replicator equation · RK4 integrationRisk: calculate the actual formula.
Table 4 combines staking (40%), formal mitigation (40%) and fuzzing (20%). Move the mitigation assumptions and inspect each residual.
At the printed inputs the sum is 0.393045, not 0.215. It exceeds the paper’s 0.3 gate. This is a normalized scenario score, not a measured catastrophe probability.
A trillion actions changes the risk budget.
The independence calculation requires independent events. The union bound does not; neither model establishes a real system’s failure rate.
Identity, stake and consequences.
An attestation checkbox is a model input. Actual wallet signatures, identity providers and slashing authority belong to an operator deployment.
A voice. A budget. Time to inspect.
A passing ballot budget is not a complete election. The demo also requires explicit approval, passing policy checks and the full eight-day delay.