Every team building with AI agents hits the same wall
Every team building with AI agents hits the same wall. Execution is no longer the bottleneck. Cursor, Claude Code, and Lovable mean a two-person team ships a working product in hours. But the tools teams use to decide what to build {Notion docs, Slack threads, interview notes, ChatGPT prompts} were designed for human engineers. They are unstructured, stateless, and unverifiable. An agent cannot execute on them without guessing. This is the translation gap. And as AI collapses the cost of building, it becomes the only gap that matters. Figural is the infrastructure that closes it. We compile raw user evidence into structured Spec Packs: typed, evidence-grounded artefacts with ranked decisions, edge cases, acceptance tests, and agent instructions. Native input to Cursor, Claude Code, and Lovable. Not a document your agent interprets. A compile target it executes on directly. Built for technical founders and small product teams shipping weekly with AI agents.