A lot of AI video tools are competing on generation quality. This is one of the first ideas I've seen that focuses on improving the instructions instead. Better inputs tend to create better outputs.
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓
https://t.co/00NwWsZyt2 was built around this exact gap.
Not just generating AI video. Structuring creative iteration into a repeatable loop:
→ test → isolate → classify → adapt → redeploy. Over and over.
Most AI ad tools solve for output generation.
Very few solve for decision-making.
That’s the actual bottleneck inside growth teams right now. But Airpost AI fixed it.
↓
This is why elite performance teams obsess over systems, not “content.”
The best operators don’t ask: “How do we make more ads?”, they ask: “How do we compound learning faster than competitors?”
That’s a completely different problem.
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Try GLM 5.1 and Gemini 3.5 Flash for free and create videos across multiple styles, from comic adventures to energetic dance sequences and ad campaigns.
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→ Writing & Research: Grok 4.3, GLM 5.1,GPT-5.5, Claude 4.6, Gemini 3.1 Pro, Perplexity
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→ Academic / STEM: Claude Opus 4.7, MiniMax M2.7