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⚡ AI Lessons
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
3w ago
We wired a ‘cheap’ model into our CRM and accidentally made pricing changes a production risk
Cheap LLMs are great for experiments. They become dangerous when they get wired into your CRM, sales ops, and automations without a portability layer.
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
3w ago
I stopped letting GPT-5 babysit my inbox and the whole workflow got cheaper and better
A practical DEV post on building inbox automation the sane way: code handles mailbox sync, retries, rules, and state; LLMs handle only ambiguous decis
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
1mo ago
I really thought a home lab was the cheap cloud GPU for LLM answer until the VRAM math slapped me
I assumed a home lab would be the cheapest way to run OpenClaw-style agents 24/7. After checking the docs, Reddit threads, and actual VRAM numbers, I
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
2mo ago
My fix for hallucinating case notes was weirdly boring: stop stuffing context and split the job in two
A practical DEV post for engineers building note-to-action workflows: why giant prompts hallucinate, why a two-pass evidence-then-recommendation archi
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
3mo ago
I read the r/openclaw Mac thread so you don’t waste $4k on the wrong LLM box
A practical DEV.to rewrite of the r/openclaw Mac discussion: Macs are fine for local LLMs, but for OpenClaw agent workloads the real bottleneck is usu
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
3mo ago
I read the 32-comment OpenClaw fight about GPT 5.5 and I think people are blaming the wrong thing
A 32-comment OpenClaw thread about GPT 5.5 looked like a model debate, but the real issue was agent behavior defaults, prompt architecture, wrappers,
Dev.to · Lars Winstand
🧠 Large Language Models
⚡ AI Lesson
3mo ago
I thought LLM tool calling would kill glue code and then my lights still wouldn’t turn on
MCP and LLM tool calling fixed a real interoperability problem, but they didn’t kill glue code. In practice, teams still get stuck on auth, proxies, f
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