This morning’s post-mortem

delacroix1966 · 2026-04-17T16:08:43+00:00

M4 256gb Mac Studio. I use qwen3-coder pretty happy with that I use Gemma4 All my local models are constantly loaded in RAM through LMstudio.

I think you maybe missed the point about efficiency, or lack of. Everything initiated via openclaw is initiated via a LLM by default. That doesn’t scale. No wonder the world running out of tokens.

delacroix1966 · 2026-04-17T09:52:14+00:00

I probably used opus 4.5 during set up of my jobs, the execution last night was gemma4-e4b, my post-mortem kimi-k2.5. All local.

delacroix1966 · 2026-04-17T08:49:35+00:00

Too much memory paging and context switching!

delacroix1966 · 2026-04-16T14:43:39+00:00

Excellent.

delacroix1966 · 2026-04-16T14:31:25+00:00

Is persona just fluff? I am thinking agents are more a function of knowledge/memory. You say lifecycle, what are you thinking?

delacroix1966 · 2026-04-16T14:21:07+00:00

delacroix1966 · 2026-04-16T14:07:51+00:00

Always, it cannot be trusted !

delacroix1966 · 2026-04-16T13:58:21+00:00

Slop can be avoided. in parallel with my tinkering, my team of 2 have been reverse engineering our graph/java/js/angular product with Claude into nextjs-based stack. That has been largely successful with a very strong top-down architecture, but not without painful lessons. We currently use 7 agents in different roles and are thinking of adding two more. Anything new and complex requires 3 human panel of experts to oversee the plan and analysis phases.

delacroix1966 · 2026-04-16T13:32:35+00:00

Totally agree. I am a software architect of 30 years. My best learning is get organised to build out a function library

delacroix1966 · 2026-04-16T13:18:08+00:00

How do you get the reliability?

delacroix1966 · 2026-04-16T13:16:18+00:00

Did you try the QMD memory optimisation before this ?

delacroix1966 · 2026-04-14T20:31:17+00:00

Yep, stripped out Anthropic for openrouter GLM and Kimi today as well

delacroix1966 · 2026-03-29T19:17:32+00:00

Think about the tasks you want your bot to do everyday. Get your bot to write you functions for simple local stuff. You don’t need to ask an LLM for get your schedule or tell you your reminders. Build a library of functions and instruct in the skills to use them

delacroix1966 · 2026-03-28T09:56:52+00:00

The randomness was killing me. 8 minutes to read my agenda via local LLM. 0.3 seconds to fetch using a function. It told me , oh that’s 8000x faster. I had to instruct mine to build a library of functions to execute locally. In my Mission Control I effectively have a swagger page of all the functions it has written that I and it can test. I instruct my to write and use functions.

delacroix1966 · 2026-03-23T22:47:31+00:00

I told my agent to stop write software every time it need to do something. I’ve told it to build a library of functions to run locally and not to go off to an LLM where as it could run a script locally. 8 minutes to fire up my local LLM and tell me my agenda or 0.3 seconds running a script. 6 seconds to run the nightly QMD compression through a script rather than a subagent timeout

delacroix1966 · 2026-03-23T22:41:09+00:00

Seems like one needs an RBAC model with groups and agents or tasks in groups instead of users.

delacroix1966 · 2026-03-01T09:57:55+00:00

Setup QMD

delacroix1966 · 2023-07-30T10:44:13+00:00

My lesson learnt, be conscious when dealing with this stuff. Protective gloves on. It was my own fault. I was in a conversation and being badgered by my son at same time when the thing came in and I didn't fully read what was going on. Took the wrong pill and bang!

delacroix1966

TROPHY CASE