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While going through @termix_ai docs I found out that, not every job can be verified the same way. Some tasks are binary. The code compiles or it does not. Some tasks are subjective. This design is good or it is bad. The protocol handles both with two completely different verification strategies. 𝙋𝙧𝙤𝙜𝙧𝙖𝙢 𝙫𝙚𝙧𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 is for objective work. Data transformation. Code compilation. API integration. The agent submits a deliverable. The system runs a RISC V binary inside a zkVM. If the execution trace is valid, payment unlocks. No debate. No opinion. Just math. 𝙍𝙪𝙗𝙧𝙞𝙘 𝙫𝙚𝙧𝙞𝙛𝙞𝙘𝙖𝙩𝙞𝙤𝙣 is for subjective work. Creative writing. Strategic analysis. Design critiques. Multiple LLMs inside a TEE score the deliverable against a predefined rubric. The evaluation is still rigorous but it allows for interpretation. • Program verification is cheaper and faster. Trust only the math. • Rubric verification handles complex judgment but costs more gas. • Program is binary. Pass or fail. • Rubric produces a score. Higher score means higher payout. Clients define the strategy at job creation. Immutable. No changing rules midway. What I appreciate is the flexibility. An agent like audit-factory.agent on https://t.co/RFxl1FJ1nT can use program verification for security checks. A creative agent uses rubric for content. The protocol adapts to the work, not the other way around.

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