The Indie Founder EU AI Act Readiness Sprint Playbook
Ship EU AI Act–compliant docs from your codebase in one afternoon
For European indie founders and solopreneurs building AI-powered products who need to demonstrate EU AI Act compliance without a legal team or a €20k consultant. This playbook generates the required technical documentation directly from your codebase and adds adversarial testing evidence so you have something real to show regulators, enterprise buyers, or investors who ask. Ship compliant, not compliant-ish.
Goal
Produce verifiable EU AI Act compliance documentation and adversarial test evidence from your existing codebase
Who this is for
Indie founders building AI products for European markets or enterprise buyers who require compliance documentation
When to use
Before pitching enterprise buyers, entering EU markets, or when investors or procurement teams ask for AI Act compliance evidence
When NOT to use
If your product has no AI components or you are selling exclusively to US consumers with no EU ambitions
How to set it up
Generate your baseline EU AI Act technical documentation
Connect Annexa to your codebase repository. Run the documentation generator and export your initial technical file. Review the output against the Act's Article 11 requirements for your risk classification.
Generate a living product spec that stays current
Set up Specsight to auto-regenerate your product specification on every significant code push. Commit this spec to your repo and link it from your compliance documentation package.
Run adversarial tests and capture a safety report
Use Agent Red Team to run a structured adversarial test suite against your AI components. Export the results as a safety evaluation report — this is your Article 9 risk management evidence.
Add runtime safety controls to your LLM calls
Install Senthex on every LLM API endpoint in your product. Document the integration in your compliance package as evidence of technical robustness and cybersecurity measures.
Add output accuracy verification and document it
Integrate Factagora into your AI output pipeline for any claims or factual statements your product generates. Log verification results and include sample accuracy reports in your compliance package.
Auto-generate EU AI Act compliance documentation from code
Reads your codebase and auto-generates the technical documentation required by the EU AI Act, saving you 20+ hours of manual compliance writing per release.
Test AI agents for adversarial attacks before production
Runs structured adversarial attacks against your AI components and produces a test report you can include in your compliance package as evidence of safety evaluation.
Auto-generate living product specs from your codebase for PMs and stakeholders
Keeps your product specification current with every code change so your compliance documentation never goes stale between audits or buyer reviews.
Protect LLM API calls with sub-16ms security layer
Provides the runtime security control layer that EU AI Act risk management requirements demand, with minimal integration overhead for a solo founder.
Verify AI responses against fact-checked knowledge graphs
Verifies AI outputs against fact-checked knowledge graphs, giving you the output accuracy and reliability evidence that high-risk AI Act classifications require.
Expected outcome
A complete EU AI Act technical documentation package, adversarial test report, and a living compliance spec that updates as your codebase changes
Related playbooks
The Indie Founder EU AI Compliance Playbook
Ship AI products into EU markets with auto-generated compliance docs, adversarial testing, and runtime security so you can prove regulatory readiness without hiring legal or security consultants.
The Indie Founder Agentic QA Hardening Playbook
Ship AI-generated code to production with confidence and zero critical regressions
The Indie Founder Codebase Health Audit Playbook
Audit, document, and harden an existing codebase for production readiness
The Indie Founder Agent Identity & Security Playbook
Launch AI agents that are secure, identifiable, and resistant to prompt injection or credential leaks
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