Disclosure: I work for a bank, where is a lot of distrust for generated content. Given the early nature of both SpecKit and VeriTrail (which I hope will be open sourced) this may well be a consideration for later iterations of SpecKit. Summary It would be valuable to explore integration between SpecKit and Microsoft Research’s VeriTrail, a framework for hallucination detection and provenance tracing in multi-step AI workflows. https://www.microsoft.com/en-us/research/blog/veritrail-detecting-hallucination-and-tracing-provenance-in-multi-step-ai-workflows/ Motivation - Multi-step AI workflows in spec generation risk compounding hallucinations; catching errors only at the final step is insufficient. - VeriTrail’s DAG-based approach can trace generated specs back to their sources and highlight exactly where unsupported content was introduced. - Improved trust and adoption: Developers would gain confidence in AI-assisted spec generation when outputs are verifiable and auditable. Benefits - Detect hallucinations earlier and with greater precision - Provide provenance mapping from final spec outputs to intermediate steps and source content - Enhance transparency, auditability, and debugging in SpecKit workflows