Positive users praise long-running multi-agent AI loops and shared workspaces as an effective strategy and key unlock for coordination, while negative users dismiss the idea as lacking business value and merely burning compute.
Based on 8 visible X reactions from 20 accounts; directional sample.
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@Scobleizer @trung_rta You haven't seen people building the way that you are building because building a harness sans API and thinking you're going to trick the frontier labs into allowing your harness to OAuth their subscriber usage into it is foolish and a waste of your time.
@Scobleizer @trung_rta long running multiple AI agents" is a technical description, not a business model. the real loop is user retention & unit economics. if your agents don't drop CAC or boost LTV, you're just burning compute.
@Scobleizer @trung_rta Shared workspace for agents is the real unlock. Finally, coordination that feels like actual engineering.
@Scobleizer @trung_rta Been diving into this the last 2 weeks. Very helpful
@Scobleizer @trung_rta Very effective strategy for AI startups
@Scobleizer @trung_rta most important skill right now
Learning about loops and how they can affect your life and business. AI engineers have been talking about them here on X, so I wanted to learn more from someone who is building them into their business. Learned loops really means "long running multiple AI agents." @trung_rta gives me a master class on loops, he's the founder of https://realtimex.ai/ "Give agents a shared workspace to plan, use terminals and browsers, coordinate with people, and deliver reviewable work—using local runtimes and the providers you choose."
Positive users praise long-running multi-agent AI loops and shared workspaces as an effective strategy and key unlock for coordination, while negative users dismiss the idea as lacking business value and merely burning compute.
Based on 8 visible X reactions from 20 accounts; directional sample.
Ask a question below.
Published answers will appear here.