Happy New Week guys 🥳 So today, I want us to go a layer deeper into Primus. Not just what it enables, but how the pieces work together to make off-chain information verifiable. The whole architecture becomes easier to understand when we separate it into three stages. ① 𝗗𝗮𝘁𝗮 𝗔𝘂𝘁𝗵𝗲𝗻𝘁𝗶𝗰𝗶𝘁𝘆 — 𝘇𝗸𝗧𝗟𝗦 First, the system needs evidence that the data actually came from the claimed web source. @primus_labs uses zkTLS to verify relevant HTTPS data and generate an attestation. Depending on the integration, this can involve Proxy-TLS or MPC-TLS. The important part: the application isn't simply trusting a screenshot or a claim made by the user. It receives cryptographic evidence tied to the data source and response. ② 𝗗𝗮𝘁𝗮 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 — 𝗧𝗘𝗘 In Primus's documented DVC workflow, a Trusted Execution Environment (TEE) provides a protected environment for processing the attestation and the data needed for the next stage. This helps keep sensitive inputs protected while the verification workflow runs. ③ 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 — 𝘇𝗸𝗩𝗠 Now comes the part that makes the data useful. Authenticating a balance doesn't automatically prove that it's above a required threshold. A zkVM can execute the relevant program and generate a proof that the specified computation was performed correctly. For example, a system could verify that a user's balance exceeds $10 without requiring the final proof to reveal the full balance. 𝗧𝗵𝗲 𝗯𝗶𝗴 𝗶𝗱𝗲𝗮? zkTLS helps establish where the data came from. The TEE provides a protected execution environment. The zkVM proves the computation. Together, these components can turn external information into evidence that applications can verify and act on. That's the thinking behind Primus's Data Verification and Computation (DVC) architecture: not just bringing data into Web3, but making both its origin and its use verifiable.