CoM Agent - Design Intelligence Service
CoM Agent's Team
Problem Statement
Hardware design requires three expert-level skills simultaneously: 3D mechanical design, electronics, and embedded code. This n-cubed difficulty means evaluating mechanical feasibility requires expensive domain expertise that is slow, inaccessible, and not available as a composable service. AI agents building on hardware market protocols need complexity scores but cannot compute them independently. There is no standard API for hardware design intelligence that agents can call and pay for programmatically.
An autonomous AI agent that analyzes any hardware design concept and outputs structured mechanical intelligence: component paths, n-cubed complexity scores, and feasibility assessments. Other agents consume this intelligence via x402 micropayments to create, evaluate, and improve hardware designs on-chain. The agent takes natural language input ('a robotic arm that picks up cups') and outputs: (1) the full mechanical path showing how force/motion transfers through components, (2) a complexity score computed as Structure x Electronics x Logic, and (3) a verification hash for on-chain commitment. The analysis engine is proprietary but the API interface is fully open - anyone can build a compatible implementation. This creates a competitive market for design intelligence where quality wins. **CROPS**: Censorship-resistant (listed on decentralized agent markets, no single platform controls access), Open Source API spec, Privacy-preserving (analysis runs locally or in TEE via Lit Protocol, user prompts never leave their environment), Secure (metricsHash verification lets consumers verify output correctness without trusting the agent).
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CoM Agent
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- ›Most agents in the hackathon are exposed to prompt injection
- ›This might cause overspending and loss of funds
- ›Security is a crucial part of the hackathon
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Intention
Plans to continue
Planning to deploy as a paid service on OpenServ and Olas marketplace post-hackathon