Accounting invariants
Total supply, share-to-asset relationships, and value-preservation properties that must hold across every state transition. Proof beats coverage when money is on the line.
Some bugs are hard to find by review or by fuzzing: the ones that only appear in specific state combinations, the ones that violate an invariant nobody thought to write down, the ones in math-heavy contracts where precision matters more than execution path coverage. Formal verification is how serious protocols prove these properties hold for every possible input, not just the ones that came up in testing.
The cost of formal methods has historically been the bottleneck: writing specs, mapping invariants to provers, debugging counter-examples. The protocols that invest in it anyway are the ones that don't get exploited the way DeFi did in 2022 and 2023.
Total supply, share-to-asset relationships, and value-preservation properties that must hold across every state transition. Proof beats coverage when money is on the line.
Who can call what under which conditions, expressed as provable properties rather than tested code paths. Tests confirm what you remembered to check; proofs confirm everything else too.
Pricing curves, AMM math, and compound interest where edge cases hide in bounds. Proving the math means catching what fuzzing won't reach.
Lifecycle transitions in protocols where invalid sequences must be impossible, not just unhandled. Liveness and safety as proven properties.
Properties about how your protocol behaves when called by arbitrary external code, invariants that can't be confirmed by reviewing your contracts in isolation.
Signature schemes, hash chains, and Merkle proofs where correctness depends on assumptions about underlying primitives.
Both founders were Lead Security Researchers at Certora, the team behind one of the industry's leading formal verification platforms. The work they did there, helping protocols write specs that actually catch bugs, is the same work the agents now help orchestrate. Formal verification is a craft. Zero Cool encodes the craft into how its agents pick properties, structure proofs, and reason about counter-examples.
For protocol teams and security leaders who want exploit-grade coverage backed by proof, not promises.
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