Automatically audit smart contracts and email a risk report

AI agents review your smart contract code and token model, then email you a structured risk report.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig(("user submits smart contract files")):::human s0["dispatch two audit agents"]:::task s1["combine findings into report"]:::task s2["email report"]:::task trig --> s0 s1 --> s2 gx{"+ which audit agent reviews"}:::gate s0 --> gx p00["review code vulnerabilities"]:::task gx -->|"security review"| p00 p10["model token economics"]:::task gx -->|"tokenomics review"| p10 jn{"+ findings combined"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"structured risk report emailed"/]:::out pay{{"faster pre-launch risk detection"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepA personEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsEmail AutomationDevOps & IT Operations
Connects
OpenAIGmail

The problem it solves

Auditing smart contracts and token models before launch takes deep technical expertise and days of manual review. Under launch pressure, risks can slip through unnoticed. You need a fast, consistent way to catch vulnerabilities before real money is on the line.

Who it fits

A blockchain development team, auditor, or Web3 project preparing for a token or contract launch.

How it works

  1. You point the system at your smart contract files
  2. One AI agent reviews the code for security vulnerabilities
  3. A second AI agent models the token economics for sustainability risks
  4. The findings are combined into a structured risk report
  5. You receive the completed report by email
What you get

Vulnerabilities caught before launch, not after

Your smart contract code and token model get reviewed by AI agents, and the findings arrive as a structured risk report by email.

What you get

A structured risk report covering smart contract vulnerabilities and tokenomics sustainability.

What you need

An OpenAI API key and a Gmail account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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