cf0’s posture on accuracy is defense in depth. No single layer is asked to be perfect. The model orchestrates; math runs in code; outputs are schema-validated; missing inputs surface as missing, not invented.Documentation Index
Fetch the complete documentation index at: https://docs.cf0.ai/llms.txt
Use this file to discover all available pages before exploring further.
The model doesn’t do math
Financial calculations — DCF, WACC, multiples, sensitivities, monte carlo — route through deterministic code templates, not AI inference. The model frames the question and reads the result; the result itself comes from a tested code path. cf0’s numbers are reproducible: same question, same inputs, same answer.Schema-validated output
Every model output that reaches storage or the UI passes through schema validation. Free-form prose that doesn’t match a known structure doesn’t get persisted. Hallucinated fields are caught before they propagate.Isolated execution sandbox
Any code-execution path runs in an isolated, per-user sandbox. The sandbox cannot reach the wider cf0 infrastructure or other users’ workspaces.Refuse to fabricate
When a required input is missing, cf0 says so rather than inventing it. From an actual generated report:“EV/Sales requires enterprise value; since debt/cash and shares outstanding are not provided here, EV/Sales is not computed. PEG requires forward growth; not provided, so PEG is omitted.”