I don't know if there's a sense of security, but I feel that the volatility in the crypto space makes contracts feel insecure, haha 🤣

1) Succinct has built a decentralized 'proof network': applications submit proof tasks, and the network coordinates global provers to take orders, produce proofs, and verify and settle on-chain; the official claims that over 5 million proofs have been generated, and the network has entered the mainnet stage. The core protocol is deployed on Ethereum, essentially forming a 'requester-supplier' bilateral market, open to scenarios such as blockchain, bridges, oracles, AI agents, games, etc.

2) How long does the project take?

The network has a clear node architecture and bidding process: requesters submit tasks and constraints (circuit/program, latency, budget), prover bids, accepts, and submits proofs through API/Proto interfaces, while on-chain contracts handle acceptance and payment; documentation clearly defines core services (ProverNetwork), methods, account and program management, and payment processes, facilitating self-construction or integration. Recently, 'Stage 2.5' has begun to introduce hardware teams on a large scale to improve network throughput and stability.

3) How do developers integrate?

Two paths:

Directly use SP1 zkVM: Compile Rust/C/C++ programs to RISC-V ELF, prove execution in SP1, and then distribute to provers via the network to produce verifiable proofs; the official provides examples, key generation, and verification processes, suitable for 'verifiable computation of arbitrary programs'.

Connect to network API: Run a minimal prover/client according to Quickstart; the application side hosts tasks to the protocol, and automatically releases payment to the winning prover after a valid proof is returned. This 'host first, settle later' model can reduce counterparty risk and integration complexity.

4) Known references (let's learn from the brothers 🤔)

Rollup validity proof: Connect OP Stack with 'full validity proof', reducing the 7-day challenge window to 'dozens of minutes' for ZK finality, while lowering unit transaction costs to the 'tenth of a cent' level (depending on circuit and batch size).

Cross-chain/Oracle: Package the source chain state into verifiable proofs, lightweight verification on the target chain, reducing trust assumptions.

AI agents/Game backend: Make key steps into 'verifiable tasks', with the network providing the proof uniformly, while the frontend or contract only verifies the proof.

The official team has also launched the Network Explorer, which allows you to view tasks, proofs, and prover trends, making it easier to observe from an SRE/product perspective.

5) I think this is the metric and boundary you really need to care about! 😳

Request volume/completion volume, average and p95 latency: determine whether production traffic can be supported.

Number of active provers and geographical/hardware distribution: whether supply is decentralized and whether it is easily affected by single point fluctuations.

Unit cost curve with batch size and circuit complexity: whether there are economies of scale and whether it is predictable.

Circuit and security boundaries: the network does not do circuit design/optimization for you; proof system selection and witness generation strategies are still the responsibility of developers. Documentation provides an 'end-to-end' process from program to proof/verification, but you need to ensure project quality and security audits yourself.

To put it bluntly, treat Prove/Succinct as an 'outsourcing factory for ZK proofs'—you focus on the business and circuit, while proof generation and elastic computing power are handled by the network; integration paths are clear, observation panels are in place, and there are existing integration cases with mainstream stacks (like OP Stack). The next step is to write a minimal verifiable module using SP1, run a round of stress testing on the network, and then decide whether to migrate critical tasks in.

@Succinct #SuccinctLabs $PROVE