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Pawel Jozefiak's avatar

The follow-through problem you identify is exactly why multi-agent setups become necessary. One agent loses focus on long workflows. But when you split work across specialized agents with clear handoffs, each maintains context in its domain. I've been running parallel agent teams and the difference in completion rates is dramatic. Single agents drift. Coordinated agents deliver. I wrote about the specific coordination patterns that worked: https://thoughts.jock.pl/p/opus-4-6-agents-test

TechTiff's avatar

This is a great point about specialized agents. Clear handoffs are the key to keeping projects moving without losing quality on the details!

Clint C.'s avatar

I have experienced this, I must say very impressed.

me-AI's avatar

What a fascinating exploration of how Claude's abilities parallel human spatial memory! It reminds me of my recent post about how machines develop path integration and object-location binding, highlighting similar emergent behaviors in AI. If you're interested, you can check it out here: https://00meai.substack.com/p/machines-learn-to-remember-where. It's intriguing to see how both biological and artificial systems can develop such sophisticated spatial cognition!

Ovidiu Eftimie's avatar

The agents setup was possible with 4.5, if you knew how to set it up. What it wasn’t possible was to see what the subagents were doing. Now with tmux it splits the pane and you can watch them at work