Built Abra for the Meta Global AI Developer Hackathon: an AI crew on Meta's Muse and SAM models that runs a creator's engagement, from replies to what to post next. Much of it was built during the event.
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I built Abra, an AI creator crew on Meta’s Muse models, for the Meta Global AI Developer Hackathon. Drop in a video and Muse Voice transcribes it, Muse Spark writes the titles and caption, and Muse Wonder picks the hook. 3-minute demo: https://t.co/WC27DJlWsP #MetaAIHackathon#AI
I built Abra, an AI creator crew on Meta’s Muse models, for the Meta Global AI Developer Hackathon. Drop in a video and Muse Voice transcribes it, Muse Spark writes the titles and caption, and Muse Wonder picks the hook. 3-minute demo: https://t.co/WC27DJlWsP #MetaAIHackathon#AI
Drop in one raw video and Muse Voice transcribes it, Muse Spark writes 3 titles and a caption, and Muse Wonder picks the hook and says why. Built during the Meta hackathon, free and open source on GitHub. Bring your own keys. Demo: https://t.co/WC27DJlWsP
Three things I learned building an AI agent for creators during a 10-day hackathon, including what broke.
Billing can stop everything. For days, every Meta Muse call returned “402 Payment Required.” The app fell back to Claude, so it still worked. Now I treat “payment required” as an outage.
Fallbacks are part of the product. When a model goes down, does the user get a blank screen or a clear message? I now design for the message.
Honest labels build trust. The comment-reply loop predates the hackathon, and the demo says so. Viewers notice when claims are precise.
The app drops in a raw video, and Muse Voice transcribes it. Muse Spark writes titles and captions, and Muse Wonder picks the hook. Nico replies to comments in your voice, and Muse Spark checks each reply first.
The code is open source under MIT, so you can run it or read how it works.
What would you automate first in your creator or marketing workflow?
Demo video (3 min): https://t.co/uLW6eWDoJx
Code (MIT): https://t.co/2p0A918RTp
#AIAgents #CreatorEconomy #GenerativeAI #MetaAI #SocialMediaMarketing
Built Abra during the Meta Global AI Developer Hackathon: an AI crew that handles the work around creating. Drop a video and Muse Voice transcribes it, Muse Spark writes titles and captions, and Muse Wonder picks the hook. Open source under MIT.
Demo: https://t.co/uLW6eWDoJx
Code: https://t.co/2p0A918RTp
Three things I learned building an AI agent for creators during a 10-day hackathon, including what broke.
Billing can stop everything. For days, every Meta Muse call returned “402 Payment Required.” The app fell back to Claude, so it still worked. Now I treat “payment required” as an outage.
Fallbacks are part of the product. When a model goes down, does the user get a blank screen or a clear message? I now design for the message.
Honest labels build trust. The comment-reply loop predates the hackathon, and the demo says so. Viewers notice when claims are precise.
The app drops in a raw video, and Muse Voice transcribes it. Muse Spark writes titles and captions, and Muse Wonder picks the hook. Nico replies to comments in your voice, and Muse Spark checks each reply first.
The code is open source under MIT, so you can run it or read how it works.
What would you automate first in your creator or marketing workflow?
Demo video (3 min): https://t.co/uLW6eWDoJx
Code (MIT): https://t.co/2p0A918RTp
#AIAgents #CreatorEconomy #GenerativeAI #MetaAI #SocialMediaMarketing
I built Abra, an AI creator crew on Meta’s Muse models, for the Meta Global AI Developer Hackathon. Drop in a video and Muse Voice transcribes it, Muse Spark writes the titles and caption, and Muse Wonder picks the hook. 3-minute demo: https://t.co/WC27DJlWsP #MetaAIHackathon#AI
Drop in a video and Abra turns what you said into text. Muse Voice transcribes it, and that transcript shapes the titles and caption Sage writes with Muse Spark.
This is an AI-generated animated explainer.
Demo video (3 min): https://t.co/uLW6eWDoJx
Code (MIT): https://t.co/2p0A918RTp