I don’t „talk” to my agents. I tell them what to do. If I need to „talk” it means something is going wrong and we need to figure out why agents are doing bad work - and this is intellectually challenging.

The effect you describe I had at times but with older/dumber models where you could spend a ton of time and the model was either too dumb to do it, or had a model dementia later in the context. Or when I didn’t really understand why it did a bad job and tried to stumble around in the dark - very mentally numbing.

Nowadays the model usually just had some bad tools or information required to do the job.

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noduerme 20 minutes ago | parent | next [-]

If you're not even asking the questions, you probably don't know what it's writing. That's essentially the same as saying you don't care about the quality of what you produce.

That's not new, it's just not something most people would've admitted to until recently.

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solyin an hour ago | parent | prev [-]

> I don’t „talk” to my agents.

Though, if you're still typing, you might want to try recent STT software.

	▲	kolinko 4 minutes ago \| parent [-]
		Oh yes, Whisper/Whisperflow in some places, and Groq from Elevenlabs in some other ones. It's hard to get back to typing. The biggest challenge is in an office, or other places where I want to maintain privacy. Ideas? By "telling" vs "talking" I meant - I have a setup that is 95% noninteractive - oneshotting most tasks, with a decent verification setup and a good memory/hooks to be confident the system does what I want and is reliable. When something off happens, I spin up an after action review session that pinpoints the guilty sessions, interviews them, the whole investigation, and either handles improvements in the process by itself (most of the cases), or asks me for feedback. For the last three months I don't think I had a place where my input was really needed. But the beginnings were brutal. "talking" happens only when: - I truly need to iterate on the output - There is some frontier-level research (i.e. working on truly novel algorithms/math) - New UX - even Sonnet5.5 and Fable are still quite schematic and they have difficulty figuring things out from first principles. Astra is smarter but has it's own problems - Infrastructure problems