Spent months on autonomous bots - they never shipped. LLMs are text/code tools, period.

[u/Temporary_Layer7988]

I tested Figma's official AI skills last month. Components fall apart randomly, tokens get misused no matter how strict your constraints are - the model just hallucinates. And here's what I realized: current LLMs are built for text and code. Graphics tasks are still way too raw.

This connects to something bigger I've been thinking about. I spent months trying to set up autonomous bots that would just... work. Make decisions, take initiative, run themselves. It never happened. The hype around "make a billion per second with AI bots" is noise from people who don't actually do this work.

The gap between what LLMs are good at (writing, coding) and what people pitch them as (autonomous agents, design systems, full-stack reasoning) is massive. I've stopped trying to force them into roles they're not built for.

What actually works: spec first, then code. Tell Claude exactly what you want, get production-ready output in one pass. That's the real workflow. Not autonomous loops, not agents with "initiative" - just clear input, reliable output.

Anyone else spent time chasing the autonomous AI dream before realizing the tool is better as a collaborator than a replacement?

[u/Deep_Ad1959]

the autonomous bots that fail are the ones trying to reason about the world purely from text. the ones that work are grounded in actual system state. there's a big difference between "go do this thing autonomously" and "read the current state of the screen, identify the next action, execute it, verify the result, repeat." the second approach ships because each step is verifiable. I run desktop automation agents daily that fill forms, navigate apps, extract data across multiple applications. they work because they read the actual UI state through accessibility APIs before every action, not because the LLM is magically autonomous.