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Rohan Paul@rohanpaul_ai
🧵4/n Your workspace also opens on your phone or any browser through the Remote. It app, while the analysis keeps running on your computer.
AIPOCH has published 125 example projects you can open and inspect, from whether a simple algorithm beats AI at Wordle to a city’s 100-year rainfall record.
Use cases: https://t.co/FAtN1PvSlB
🧵3/n Connectors let the agent pull from research databases like PubChem (chemical data) and openFDA (drug approvals and labels) through MCP, short for Model Context Protocol, a standard plug that lets AI call outside tools.
Heavy jobs can run on your own lab server or cloud machine over SSH (Secure Shell, the standard secure way to log into another computer), and only the final files come back.
Blog: https://t.co/M9kzwGsKmN
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🧵2/n Download that exact package and inspect the full session here:
https://t.co/FAtN1PvSlB
For bigger tasks, a “Plan first” option makes the agent write a step-by-step plan, and nothing runs until you approve it.
You also set how much freedom it gets, from asking before every action, to auto-approving file edits only, to full access.
Plans survive app restarts, and if a step gets blocked, the steps after it do not start until you sort it out.
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