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Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
Turning meeting notes into owned work — as a team operating habit
One Telegram test changed how I think about action register: the useful output was the operating structure, not the polished wording. I gave my personal AI four messy lines from a fictional meeting. It returned an action register instead of another generic summary: one decision, two owners, two deadlines, and the unresolved naming question. The useful part was not the writing. It was the change in shape. A conversation became state that a team could inspect and continue. At community scale, the pattern is more useful as a habit than as a one-off prompt. Teams improve when every automated result arrives with context, uncertainty, and a next human decision. I captured this from Orchestero, the personal-AI system I am developing.
Turning meeting notes into owned work — as a team operating habit
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1) 🚫 No Business Promotions → NO “DM me for…” or "Comment 'Automation'" posts. 2) 🔗 No Linking Your Own Community/YouTube Videos 3) 🏷️ Title Specifically 4) 🔍 Search for Help First (searchbar) 5) 🙌 Stay Respectful 6) ❌ Enforced Clean‑Up Posts that break these rules will be removed without warning. If you ever have questions, feel free to ask. Let’s make this the best AI Automation community out there by sharing, collaborating, and learning together. 🚀
AIS Challenge
A beginner to using AI for more then just searching for information. Other then being interested in building an AIOS, I am very interested using AI with my Second Brain as well as creating myself an executive assistant. I am also looking at using AI for a business I am developing on the side as I can and when I can. #AISCHALLENGE
I thought building a voice AI platform was mostly about making the agent sound human.
I thought building a voice AI platform was mostly about making the agent sound human. I was wrong. After spending time with tools like Vapi, Retell, and others, I realized the real problems are deeper: too much cost stacking up across calls workflows breaking after the conversation weak handoff logic too many moving parts just to complete a simple business action platforms optimized for “talking” more than actual execution So I started rebuilding the experience around a different idea: The call shouldn’t be the product. The outcome should be. I’ve been working on: cleaner action flows better human fallback tighter CRM/workflow execution simpler setup and cutting the overall cost significantly Still early, but the gap between the first version and what it is now is huge. Planning to launch the first version in the next 1–2 weeks. Curious about one thing: If you’ve used Vapi, Retell, Bland, etc. what frustrated you the most? I’m collecting the answers because I want to make sure I’m solving the right problems.
I thought building a voice AI platform was mostly about making the agent sound human.
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