I retain information by architecting it. Whenever I receive a messy brief, a meeting transcript, or a knowledge dump, I run it through a six-agent workflow that transforms noise into a living knowledge map without losing nuance.
Most people read, highlight, and hope memory does the rest. I tried that and forgot the details that mattered. The turning point came after leading a cross-functional incident review: fifty pages of logs, emails, and transcripts were dumped on my desk. I realized I only learn when I can see relationships—causes, decisions, guardrails. That meant I needed a repeatable way to restructure raw text into a decision-ready brief.
Information architecture precedes insight. My brain processes complex material once it’s broken into units, grouped by intent, and mapped into a hierarchy I can traverse.
Enter the multi-agent workflow. Each agent is specialized, knows its constraints, and hands off to the next role. The stack doesn’t summarize prematurely; it safeguards detail until I decide how to deploy it—briefs, decks, automations, or code comments.
Progressive refinement is the backbone of every professional research firm. I borrowed that playbook and encoded it for LLM collaboration. Here’s how each agent earns its seat at the table, complete with the precise prompt I use.
The Cleaner strips stray symbols, duplicated sentences, and partial thoughts. It keeps every meaningful detail and gives the next agent a coherent base layer.
The Chunker divides the cleaned text into numbered, self-contained units. Each chunk expresses a single idea so I can reference it later without re-reading the entire document.
The Grouper scans the chunks and organizes them by theme, topic, or timeline. It labels the emerging patterns and prepares the material for structural design.
The Structurer turns the groups into a rough Table of Contents. It preserves every cluster while defining headings and subheadings that respect chronology or conceptual flow.
The Refiner dives into each section, placing the original chunks into clean paragraphs, bullet sequences, or numbered steps. It’s where coherence replaces chaos.
The Cataloguer closes the loop: final Table of Contents, a map of detail depth, and a glossary of key terms. I can now delegate writing, build a dashboard, or generate training assets.
I plug this pipeline into everything from weekly executive updates to product teardown research. The key is keeping each agent honest about its constraints and outputs.
The outcome is a scannable, corporate-ready deliverable that still feels human. Leaders get the insight; operators get the detail; I get a feedback loop that reinforces how I learn.
Learning is no longer passive absorption—it’s active design. By funneling messy text through a progressive, six-agent workflow, I can capture nuance, build narratives, and deploy the same knowledge across formats without rework.
Whether I’m prepping a board update or coaching a client on prompt engineering, this system ensures nothing gets lost. The architecture becomes the memory, and the memory becomes my advantage.
Start with one messy document this week. Run it through the Cleaner, the Chunker, and the Structurer. Once you feel the scaffolding click, the rest of the agents become an easy add-on.
I’m building a playbook of reusable agent workflows for teams who live in documentation, incident reviews, and product research. Want early access?
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