Synthesized notes from AIMM mastermind sessions. The recap is the artifact; the conversations are the practice.
9 recaps
Recap · AIMM Spring 2026
What stays yours when models train on transcripts? The cohort wrestled with where the line actually moves quarter to quarter, and what work is worth doing inside that uncertainty.
Lou walked the cohort through the system he had been quietly building, a personal knowledge vault that doesn't just store what he learns but produces articles that sound like he wrote them, complete with the personal asides he could never get AI to insert before.
Guest session with Michael Simmons, the writer behind 100 million Forbes views. He walked the cohort through how Claude Code became his primary thinking tool and what changed in his writing process when he stopped treating the AI as an output engine.
Recap · AIMM Winter 2026
First call of 2026. Don shared the content engine he built over the holidays, a central canon, five core laws, seven pillars, twenty-four weeks of mapped output. The cohort dug into how to keep it from drifting into irrelevance.
Recap · AIMM Fall 2025
Kasimir built a working interface in an hour with Claude Code. Lou admitted he can no longer remember how n8n's inputs and outputs work because he just vibe codes everything now. The cohort worked out where each abstraction layer actually serves you.
Anthropic released Skills the week before and the internet went viral. Lou walked the cohort through what they actually are, then admitted he didn't yet see why everyone was losing their minds. The room worked the question together.
Recap · AIMM 2025
A practical walkthrough of self-hosting open source LLMs, from quantization tradeoffs to Docker containers to virtual private servers. The real question underneath: when does owning your stack actually matter?
A working session that started with a new model release and ended on a deeper question: when there's a new state-of-the-art every week, what's the discipline for not chasing every shiny thing?
Lou opens an impromptu masterclass tracing the evolution from one-off prompts to dynamic process prompts that interview the user, plan, and then run a generalized framework. The thesis: stop writing prompts, start designing systems that write them for you.