We're teaching our AI agent the most important lesson from every CFO and auditor: you have to show your work.
We call this evidence "artifacts" - which are the tangible outputs that make an AI's work auditable and trustworthy. For a finance leader, artifacts are what transform a powerful but risky AI into a controllable enterprise-ready asset.
It's day 15 of Vibe Accounting in Public. In building our AI agent, Luca, generating a package of artifacts is a core function. A single command produces sets of evidence to give your team leverage in the following ways:
- Data Tables: The agent produces clean and structured reports ready for immediate use. This means your team spends zero time on reformatting and can get straight to analysis.
- Workflow Diagrams: It generates a visual blueprint of the automation's logic, allowing you to validate the business process at a glance without needing to read a single line of code. The underlying code is also available for transparency and technical validation.
- Compliance Memos: A plain English PDF is created explaining how the logic adheres to standards like ASC 606. This provides audit-ready documentation automatically, drastically reducing prep time.
- Interaction Buttons: The AI provides simple UI elements like buttons for approval or rejection for key steps, guaranteeing clear human control over your critical processes.
This is just the start. We're extending this to artifacts that drive strategy, like interactive dashboards for FP&A scenario modeling and back-testing reports.
We are building a system of record, not just a system of suggestion. The AI's output is just the byproduct. The complete auditable evidence trail behind that output is the actual product. That’s the difference between a cool demo and a system you can bet your audit on.

Read our other Vibe Accounting in Public posts:
Day 19 - Complete Stripe Order-to-Cash and Revenue Recognition Workflow in 5 Minutes
Day 18 - Determining When FX Calculations Should Occur
Day 17 - Instantly Customizing a Revenue Report For a 4-4-5 Retail Calendar
Day 15 - The Difference Between a Cool AI Demo and a System You Can Bet Your Audit On
Day 14 - When AI Finds a Stripe Data Problem We Didn't Even Ask It To Look For
Day 13 - From Reading a Chart of Accounts to Deciphering Financial Philosophy
Day 12 - ROI Analysis: AI vs Manual Revenue Recognition
Day 11 - An ASC 606 Compliance Review in 60 Seconds
Day 10 - Shattering the Accounting Software Language Barrier
Day 9 - Can Our AI Actually Reconcile Accounts Receivable?
Day 8 - Translating Complex Automation Code Into a Clear, Visual Workflow
Day 7 - Tokenomics: the Hidden Line Item in Your AI Strategy
Day 6 - Our AI Accounting Agent Leveled Up From a Tool to a Teammate 🤝
Day 5 - When the AI Accountant Starts to Act Like an Annoying Intern
Day 4 - Generating a Perfect Deferred Revenue Waterfall Report
Day 3 - Our AI Accountant Just Became Its Own Technical Writer
Day 2 - Creating a Basic Revenue Recognition Automation Rule:
Day 1 - Can AI Be Trusted With Automating Complex Accounting?
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