A quality gate for AI video. It checks your keyframes and clips for blur, flicker, frozen or black frames and look drift, then tells Claude, Cursor or your script to pass, retry with specific fixes, switch models or stop spending on that shot.
Hi Product Hunt π
AI video renders fail in ways you often notice only after paying for the next step: a clip with seconds of black frames in the middle, a shot where the model just froze, a keyframe that no longer matches the character. In our tests on public AI video benchmark clips, SmartTokenGuard flagged exactly these (black frames, stalled renders) automatically.
SmartTokenGuard sits between generation and the next render:
1. Check the keyframe first. A rejected still costs nothing; a rejected 5-second clip has already been paid for.
2. Inspect the clip for blur, flicker, frozen/black frames, cuts and colour drift against a reference.
3. Your assistant looks at the review frames for hands and faces, and the gate returns PASS / RETRY (with exact negative-prompt terms, lower motion, new seed) / SWITCH_TO_FALLBACK / HALT.
4. A spend ledger shows what each shot cost and how many renders you avoided.
What it doesn't do: it never generates video for you, and it doesn't claim to judge anatomy on its own. The measured checks catch technical failures; faces and hands are reviewed from the frames it returns.
It works as an MCP server (Claude Desktop, Claude Code, Cursor, VS Code) or a Python SDK. Starter is $9/month for 300 checks; Pro is $29/month for 3,000.
I'd love to hear which failures cost you the most. That's what I'll add checks for next.