AI agents, I once thought they were complete productivity.

Today I realize
(Multi-device multi-agent systems, making good use of model routing, plus enough attention to oneself, and so on… )
They just barely reach the level of conditional productivity!!!
Initially, I pushed everything to the limit, causing both the system and myself to crash…
Leading to ongoing exploration…
But now I’m clear: in the current stage, the overwhelming number of intelligent agents, just listening is enough.
Smart model routing and stable multi-agent systems
Feel like at least 1 to 2 years!
Self-correcting, self-optimizing, ultimate productivity,
Feels like at least 3 years! And that’s with extremely optimistic hardware and software computing power!
Only those who have already run multi-agent workflows and produced stable results are already pulling ahead of us (Programmers who understand instructions are winning big )
But!!! For brothers who found it troublesome before,
Tencent’s qclaw!!! Then command openclaw!!!
Single agent slowly evolving into multi-agent or multi-device,
Extremely friendly for us ordinary folks who don’t know instructions!!
First, eliminate noise, starting with the simplest:
A repeatable, verifiable, valuable small task.
Then form an AI system and full command of multiple intelligent agents,
Plus model routing + stable system + stable output (In fantasy )
Hold steady. Brothers still fighting with crayfish,
I believe we
Can win!!!
#openclaw #qlaw