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SmartTokenGuard
Stop paying for broken AI video renders
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 👋
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.
About SmartTokenGuard on Product Hunt
“Stop paying for broken AI video renders”
SmartTokenGuard was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #104 on the daily leaderboard. 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.
On the analytics side, SmartTokenGuard competes within Developer Tools, Artificial Intelligence and Video — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how SmartTokenGuard performed against the three products that launched closest to it on the same day.
Who hunted SmartTokenGuard?
SmartTokenGuard was hunted by Zak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SmartTokenGuard including community comment highlights and product details, visit the product overview.