Polymorphic · AgentsAgent harness · Self-serve
We design, evaluate, and deploy deep research and planning systems that learn from feedback, recover from failure, and systematically prepare your next project.
The plateCreatures: six species of Lenia, a continuous cellular automaton, each living by a rule found by searching Lenia’s rule space. Gliders travel; still forms drift on a slow current. Wounds: creatures that collide are damaged where they touch; each repairs by its own rule first and, if it keeps failing, recalls its last healthy state. Click one to wound it.
Evidence base built from docs, code, and the web so every claim is verified and auditable.
Monte Carlo search over strategies to produce delivery scaffolds and robust cost/timeline estimates.
03 / Method
Evidence-grounded rollouts that de-risk scope, cost, and delivery.
A failed validation sends a task back to planning with the reason attached. Most failures ship on a later pass instead of reaching a person.
How to readOne row per task, newest at the top. Each row grows to the right as the task runs through ground, plan, scaffold and validate. ■ shipped on the first pass · □ recovered · → handed to a person. A simulated run.
Collect docs, code, data and constraints. Build a verifiable research base with citations.
Search strategies using rollouts and sampling; compare plans against goals and risks.
Generate detailed project scaffolds: interfaces, milestones, acceptance tests, and owners.
Backtest projections, run evals, and stress test assumptions. Iterate until robust.
Research-driven agent that produces evidence-backed briefs, task lists, and risk surfaces for real world projects.
Generates production-ready scaffolds - service and data designs, boundaries, schemas, and interfaces.
Monte Carlo projections for scope, cost, and timeline. Sensitivity analysis via probabilistic sampling and scenario rollouts.
05 / Start
Tell us about your workflow and what success looks like.