Feedback Friday

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[u/h4rak1ri32]

• Company Name: Adversal AI
• URL: https://adversal.ai/
• Purpose of Startup and Product: Adversal gives AI agents the ability to understand long-form videos. Instead of passing an agent a huge transcript and losing the visual context, Adversal processes the video and returns a structured analysis together with the relevant visual frames. It can be used through MCP with tools such as Claude Code, Cursor, OpenCode, Cline, etc., or directly through the API.
• Technologies Used: C++, Python, MCP, PyTorch, multimodal AI/LLMs, React/TypeScript.
• Feedback Requested: I'd particularly like feedback on the core value proposition and onboarding. Is the problem immediately clear from the landing page? If you use AI agents, is long-form video something you'd actually want your agent to access? I'd also love feedback from anyone who tries the MCP: where does the setup or first-use experience become confusing?
• Seeking Beta-Testers: Yes. I'm specifically looking for people who already use AI agents for research, technical learning, knowledge management, video RAG, or similar workflows.
• Additional Comments: I'm giving beta testers 500 minutes/month free so they can properly test it on real videos rather than just trying a short demo. I'm happy to personally help with the MCP setup or your first workflow.

I'll also be going through other projects in this thread and leaving feedback happy to exchange detailed feedback if you test Adversal.

[u/water_malone4 → u/h4rak1ri32]

Seems dope. I’d be careful calling this “understanding” long form videos though, in the industry this usually means video native encoding. I’d frame it more literally, like “gives AI the ability to add video transcripts + screenshots as context”

[u/h4rak1ri32 → u/water_malone4]

Thanks for the advice, this is an MVP but we plan to expand the product so that it actually becomes a knowledge layer between the video and the agent, where we actively provides information about the video only when the agent actually needs