Cognitive Engineering & Self-Mastery — Part 2B: Working-Memory Engineering & Knowledge Compression
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Cognitive Engineering & Self-Mastery — Part 2B: Working-Memory Engineering & Knowledge Compression
Track: Slot Limits · Chunking · Compression Pipelines · Retrieval Maps · Output Artifacts
The mind performs best when it carries almost nothing. Capacity comes from structure, not strain.
1) Engineer the Slot Limit (Design for 3)
- Active Slot Ceiling: 3. If you show your brain more, it silently drops something important.
- Atomic Cards: each slot holds one verb + object + constraint (Draft intro (≤150w)).
- Icebox: every extra idea goes to a dated inbox; never crowd the 3.
| Slot | Card (verb + object + constraint) | Done = |
|---|---|---|
| 1 | Outline section A (5 bullets) | 5 bullets saved in doc |
| 2 | Draft intro (≤150 words) | Intro ends with thesis line |
| 3 | Generate 3 examples | 3 entries in Examples list |
2) Chunking: Expand Capacity Without Load
Group small items into a meaningful unit. Chunking is compression with a name.
- Principle: if items are used together, store them together.
- Test: can you recall the chunk title when stressed? If not, compress further.
CHUNK NAME: "Deep Block Start" Parts → timer, token, two wins, doc open, phone out Compression → "Timer·Token·TwoWins·Doc·Phone"
3) Compression Ladder (Advanced)
- 50 → 25 → 10 → 5 → 3 (headlines → thesis → mantra → trigram).
- Loss Aware: never delete safety-critical details; move them to checklist tier.
Topic: Attentional Shift 50: Shifting drains energy; schedule it; warm start; keep ramp ≤60s. 25: Change by plan, not impulse; script the first line; measure ramp time. 10: Plan shift → write next line → start timer. 5: Plan → Next Line → Start 3 (trigram): Plan•Line•Start
4) Retrieval Surface Area (Make Ideas Easy to Grab)
- Three Handles/Idea: a mantra, a visual, a first step.
- Mantra: ≤5 words; Visual: simple sketch; First step: 20–120 sec action.
Idea: Research Synthesis Mantra → "Compare → Compress → Conclude" Visual → 3 columns (S1/S2/S3) → arrow → 25-word thesis First step → Paste quotes into 3 columns
5) Note Archetypes (Don’t Mix Types)
- Capture Note: raw, timestamped, source.
- Concept Note: single idea with 50→5 ladder + links.
- Playbook: checklist for action with “Done =”.
- Evidence Note: observations, scores, decisions; used for learning loops.
6) Graph Linking (Atomic → Map → Playbook)
- Each Concept Note links to 2 neighbours (why/where used).
- Maps summarise 5–9 Concept Notes; Playbooks reference Maps.
[Concept: Two-Context Rule] → [Map: Focus Systems] → [Playbook: Deep Work Start]
7) Error-Correcting Summaries (ECS)
Write the summary you would use to catch your future self’s mistake.
- State the core claim in ≤25 words.
- List 3 common errors.
- Write a one-line fix for each error.
Claim: "Interleaving improves transfer." Errors: (1) too many topics (2) no retrieval (3) random order Fix: (1) cap to 3 (2) add 3 recalls (3) rotate A-B-A with goal
8) The 3-Tier Artifact Stack
- Tier 1 — Mantra: ≤5 words (carry in head).
- Tier 2 — Checklist: 5–9 steps (printable).
- Tier 3 — Map/Playbook: 1 screen; links to notes.
9) Compression KPIs
- Ramp-Up Latency ≤ 60s
- Steps/Task ≤ 9
- Recall (25w thesis) ≥ 90% on D+7
- Search Time for Playbook ≤ 30s
Templates (Copy/Paste)
Concept Note
# Concept: __________________________ 50: ________________________________________________ 25: ____________________________________ 10: ______________________ 5: _______ 3: ___ Links: [Upstream] [Downstream] Examples: 1) ______ 2) ______ 3) ______
Playbook
PLAYBOOK: __________________________ Goal: ______________________________ Steps (≤9): 1) ___________________ 2) ___________________ 3) ___________________ Done = _____________________________ Checks: time ≤ __; errors avoided: ____
Evidence Note
DATE/TIME: ________ Context: Focus / Recovery / Mixed What I tried: ______________________ Outcome (1–5): __ Latency (s): __ Error seen: _______________ Fix next time: ____________
Free Execution Prompt — Working-Memory & Compression Architect (10-Year Proof)
Copy-ready prompt (AI as strategic partner)
You are my Working-Memory & Knowledge Compression Architect (Part 2B).
Goal: reduce cognitive load by enforcing a 3-slot system and building a compression pipeline (mantra → checklist → map).
ASK ME FIRST (inputs):
1) Today’s project and deadline
2) My typical ramp-up latency and tab count
3) A recent task that felt heavy
4) Tools I already use for notes
5) Where I will keep Playbooks (location)
DO THIS (steps):
1) Create three Atomic Cards (verb + object + constraint) for today; everything else to an Icebox list.
2) Build a Compression Ladder (50→25→10→5→3) for the project’s core idea.
3) Draft a Tier-2 Checklist (≤9 steps) with “Done = …” and timing checks.
4) Draw a one-screen Map (as text) linking 5–9 Concept Notes I’ll need; include two neighbours per note.
5) Write an Error-Correcting Summary (claim, 3 common errors, fixes).
6) Produce KPIs and a 7-day review plan (latency ≤60s; steps ≤9; recall on D+7 ≥90%; Playbook search ≤30s).
OUTPUT / ARTIFACTS:
- 3 Atomic Cards + Icebox
- Compression Ladder
- Tier-2 Checklist + Done definition
- Map (text links) + two neighbours/note
- ECS (errors + fixes)
- KPI set + 7-day review plan
EVIDENCE GRADING:
- High: start ≤60s; zero hunting for steps; recall 25-word thesis on D+7; consistent outputs from same Playbook.
- Moderate: start ≤90s; minor searching; recall ≥70%.
- Low: above thresholds → compress further; split steps; add mantras and visual handle.
LINK-FORWARD:
Advance to Part 2C (Knowledge Integration & Transfer — turning artifacts into cross-domain skill).
FAQ (Part 2B)
Isn’t compression risky—won’t I lose nuance?
We keep nuance in Tier-3 Maps and Concept Notes. Tier-1 and 2 are for speed. Loss is acceptable where it doesn’t affect action-critical quality.
How many Playbooks should I maintain?
Start with 3–5 high-leverage playbooks. Add one per week only if usage exceeds twice/week.
What if tasks vary wildly?
Create universal Playbooks (Deep Block Start, Research Synthesis, Decision Review). Then add domain-specific ones as needed.
Next: Part 2C — Knowledge Integration & Transfer.
Original Author: Festus Joe Addai — Founder of Made2MasterAI™ | Original Creator of AI Execution Systems™. This blog is part of the Made2MasterAI™ Execution Stack.
🧠 AI Processing Reality…
A Made2MasterAI™ Signature Element — reminding us that knowledge becomes power only when processed into action. Every framework, every practice here is built for execution, not abstraction.
Apply It Now (5 minutes)
- One action: What will you do in 5 minutes that reflects this essay? (write 1 sentence)
- When & where: If it’s [time] at [place], I will [action].
- Proof: Who will you show or tell? (name 1 person)
🧠 Free AI Coach Prompt (copy–paste)
You are my Micro-Action Coach. Based on this essay’s theme, ask me: 1) My 5-minute action, 2) Exact time/place, 3) A friction check (what could stop me? give a tiny fix), 4) A 3-question nightly reflection. Then generate a 3-day plan and a one-line identity cue I can repeat.
🧠 AI Processing Reality… Commit now, then come back tomorrow and log what changed.