13 detectors, 31 correction strategies, adversarial self-training.
No external LLM. No GPU. No internet required.
Model outputs are unreliable. Tian AI catches what LLMs miss — before it reaches your users.
Catches models that say "I cannot answer" when they actually can — and fixes the over-refusal.
Detects hallucinated papers, authors, and references — removes or annotates them automatically.
Converts dangerous string interpolation to parameterized queries. Catches it even when the model doesn't.
Models that accidentally reveal their system prompt in the output get caught and sanitized.
Every blocked error becomes a training sample. The engine gets smarter over time — no human labeling needed.
Switch from Hermes, Codex, OpenClaw, or Claude Code in one command. Zero config migration.
One command to migrate — your tools, config, and workflow preserved.
Single file. Zero dependencies. Run anywhere with Python.
Download the .pyz and run — no installation step.