conservatory.build — v0.1.0-alpha

Autonomous
Engineering
Intelligence

Conservatory is a multi-model AI system that designs, simulates, and physically verifies engineering solutions — autonomously, recursively, and beyond human team capacity.

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Architecture Multi-model adversarial
Verification Deterministic physics
Loop Recursive self-improvement

Process

How it works

1

Multi-model adversarial debate

Five frontier AI models reason independently across specialist roles — thermodynamicist, materials engineer, systems architect, failure analyst, verification critic. Each attacks and defends ideas. Consensus is earned, not assumed.

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2

Physics verification

Every concept that survives debate is passed to deterministic simulation. No language scoring, no heuristics. The laws of physics are the judge. Designs either satisfy the equations or they don't.

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3

Recursive improvement

Every verified run becomes structured training signal. Specialist models improve with each generation. The system becomes more capable by doing real engineering — not by reading about it.

Differentiation

Why it's different

What every other system does

  • LLMs produce outputs. Humans verify.
  • Process stops when the conversation ends.
  • Quality depends on prompt quality.
  • No feedback loop between generations.
  • Physics is approximated in language, not computed.

What Conservatory does

  • LLMs propose. Physics judges. System improves.
  • Every run generates the next training cycle.
  • Quality is verified against deterministic ground truth.
  • Specialists compound capability across generations.
  • Physics is computed. Results are either correct or they fail.

First target

Where we start

Domain Thermal management
AI accelerator hardware

Status In development

Constraint Chip power density
growth rate exceeds
human design capacity

Conservatory's first engineering target is thermal management for AI accelerator hardware — a domain where existing design processes cannot keep pace with the rate of chip power density increases. The thermal envelopes demanded by next-generation accelerators are outrunning what engineering teams can design, simulate, and validate within the product cycle.

This is precisely the class of problem Conservatory was built for: high-dimensional design spaces, hard physical constraints, and a verification requirement that makes LLM-only approaches insufficient. The system is currently in development.

Status — Active development