Agent platform where the agents can't fabricate a number — the numbers come from a compiler

Most agent frameworks let the LLM write SQL and report the result. That's fine until it aggregates something wrong and states it confidently, which for business data is worse than failing. Split I settled on: the model chooses, the compiler computes. For anything touching your data, the agent picks from a governed semantic model — declared metric and dimension names, nothing else. It never sees your tables or columns and never writes SQL. The compiler turns its choice into a statement and refuses anything that would return an inflated figure. If the agent names a metric that doesn't exist, it's rejected with the reason rather than quietly substituted for something similar. Same principle in the deck export I shipped today: the AI writes the slide titles and takeaways, and every figure comes from the dashboard's own data. If it slips a computed number into its prose — a growth rate, a total — that sentence is stripped before it reaches a slide. It holds even if you explicitly ask for percentages, which some people will find annoying and I think is the right call. Rest of the platform: visual multi-agent canvas, human-approval nodes, sub-swarms, A2A, MCP both directions, per-agent budgets and model rules enforced before the call. Self-hosted, source-available, your own model keys.