AI agents are LLMs that autonomously call tools, observe results, and loop through observe → think → act to complete tasks. This video covers tool calling, memory, and real-world agent examples.
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AI agents are LLMs that autonomously call tools, observe results, and loop through observe → think → act to complete tasks. This video covers tool calling, memory, and real-world agent examples.
Instantly divide long videos into clean, timestamped chapters in one click.
Automatically generate structured study notes with bullet takeaways and code blocks.
Screenshots will get automatically placed at the right place in your Notes.
Use OpenAI for accuracy, or run lightweight models fully offline on your own machine.
Ask questions, outline complex segments, or search specific details in seconds.
Fully interactive — click anything to explore the real app experience.
This is a fully interactive mockup with static data — no real video is processed.
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Yes! ScribeShot features a built-in Local LLM Engine that lets you run lightweight models (such as Gemma or Llama) directly on your local CPU/GPU. No data leaves your machine.
It is optional! You can plug in your own OpenAI API key for maximum quality and speed, or use ScribeShot's built-in Local LLM runner to generate notes fully offline.
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Click 📸 while watching to snap a slide or code. ScribeShot's AI vision analyzes the screen content and auto-embeds the screenshot under the corresponding timestamp in your notes.
You can chat interactively with any video. ScribeShot indexes long video transcripts and uses smart keyword retrieval to feed relevant context to your local LLM or OpenAI.