Jarvis-AI, an AI Agents network that kills admin work in big corporate
Cheers HN, We're Oli and Pascal, two friends from ETH Zürich. We built a network of AI Agents for large organisations, that finally gets rid of all admin work for employees. Current features are: - Schedule, move or cancel meetings (via Google Calendar or locally) - Dynamically adapt meetings according to stakeholders’ availabilities (internal communication of the agents) - Summarize incoming mails (via Gmail) - Create a project plan (command: plan XXX = [project description]) including stakeholders, timeline and cost estimate - Plan, assign and view tasks - Do all of the above via audio We…
What it does
In the maker’s words, at launch
Cheers HN, We're Oli and Pascal, two friends from ETH Zürich. We built a network of AI Agents for large organisations, that finally gets rid of all admin work for employees. Current features are: - Schedule, move or cancel meetings (via Google Calendar or locally) - Dynamically adapt meetings according to stakeholders’ availabilities (internal communication of the agents) - Summarize incoming mails (via Gmail) - Create a project plan (command: plan XXX = [project description]) including stakeholders, timeline and cost estimate - Plan, assign and view tasks - Do all of the above via audio We believe that the network point is the core of the product. If you're planning a new project, Jarvis should not only give ideas but also propose whom to work with based on the context information of all the other Jarvises in the company. Instead of sending mails, information flow happens between the Agents and the audio feature makes it super natural to speak to your Jarvis. This is very early stage, so any advice/feedback is much appreciated :)
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Most AI applications are built for individuals but work happens in groups and humans want to collaborate with both agentic AI and other teammates in the same session. We created Hybrid Groups for that purpose. In Hybrid Groups, agents join group chats as virtual team members in Slack and GitHub. They participate in group conversations, proactively contribute when needed and perform actions on behalf of individual users, like managing your calendar for meeting suggestions or updating your todo list without sharing access to your private resources to the group. The project is open-source at…
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Hi everyone, I built PyXL — a hardware processor that executes a custom assembly generated from Python programs, without using a traditional interpreter or virtual machine. It compiles Python -> CPython Bytecode -> Instruction set designed for direct hardware execution. I’m sharing an early benchmark: a GPIO test where PyXL achieves a 480ns round-trip toggle — compared to 14-25 micro seconds on a MicroPython Pyboard - even though PyXL runs at a lower clock (100MHz vs. 168MHz). The design is stack-based, fully pipelined, and preserves Python's dynamic typing without static type restrictions.…
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