David Berges retweeted
Timbal AI - Agents, workflows, knowledge and Interfaces youtu.be/6wj_tUvQDxw?si=QYwl… via @YouTube
Stack by @martinorberto
David Berges retweeted
We're live on Product Hunt today 🚀
We'll be in the comments all day, feedback and upvotes always welcome.
Product Hunt link:
producthunt.com/products/tim…
#AI #AIAgents #ProductHuntLaunch #LLM
David Berges retweeted
Workforce agent embedded in the interface, querying and closing tickets just by being asked.
📖 "Interfaces are the last mile of AI" by team members, link in the comments.
Agents don't need the whole internet. They need the right answer.
That's what we built Cala for—and now it plugs directly into @Timbal_AI.
Timbal AI takes our structured knowledge and makes it actionable: stored, indexed, and ready for your agents and workflows.
To showcase this integration, Timbal AI’s team built a startup funding tracker fed by Cala’s knowledge layer, check it out below 👇🏼
David Berges retweeted
AI workflows should be reliable, observable, and yours.
With Timbal Workflows, you connect agents, tools, APIs, knowledge bases, and model providers in code you keep.
Schedule runs, retry failures, stream outputs, and trace every step in production.
Drop a prompt, and let Composer do the rest.
Tell Composer what the agent should do, and let it build.
Our agents reason over your data, call your tools, and run under governance you control.
Early access open. timbal.ai/
Timbal AI is officially live.
This is the end-to-end AI ecosystem to build, deploy and scale production AI agents, workflows and interfaces.
Feel free to explore it, and give us feedback!
Presenting our front door to Timbal AI.
A clearer way to show who we are, what is already inside, and, most importantly, why we are building it.
Say hello to Composer. timbal.ai?/v=2




