The Information Decontamination Grid (IDG)

RAIL Ω-I System Filter · Not “Productivity”

📡Grid Stages: from “incoming” to “owned”

People lose years because they treat the mind like a public feed. The IDG treats it like a secure facility: you don’t “consume” information — you either quarantine it, distill it, or reject it.

Stage 0 — Block (default-deny)

The most important move is not reading better — it’s stopping uncontrolled ingress. Default-deny means: no infinite scroll, no breaking-news drip, no reactive doom loops. Your brain is a prediction engine; volatile inputs corrupt the prediction layer.

Rare knowledge (short): Narrative volatility behaves like a cognitive “side-channel attack.” It doesn’t need to be true to be damaging — it only needs to be emotionally sticky enough to hijack attention and distort probability judgement.

Stage 1 — Quarantine (batch-only)

All “maybe useful” material goes into quarantine: a single folder, note, or inbox that never pings you. This converts time from interrupt-driven to choice-driven.

Stage 2 — Sterilize (SNR scoring)

Before you let information touch your convictions, you score it for SNR (Signal-to-Noise Ratio). High-SNR sources carry constraints, data, or methods. Low-SNR sources carry vibes, outrage, or status games.

Stage 3 — Distill (knowledge asset)

Distillation is not summarising. It’s extracting: assumptions, evidence, failure modes, and what would change your behaviour if true. The output must fit into your rails as a reusable asset — not a one-time mood.

Stage 4 — Protocolize (immutable operating change)

If the asset implies a behavioural change, it becomes a protocol. Otherwise you archive it and move on. Data that does not change a system is entertainment.

THREAT MODEL Ruin Vectors

🧠What actually damages a long contract

The IDG assumes you are not “weak.” It assumes the environment is adversarial: platforms optimise for arousal, not truth; communities optimise for belonging, not accuracy.

Vector How it enters Damage pattern IDG counter
Memetic Hijack viral posts, outrage clips, moral theatre attention capture → distorted judgement Stage 0 block + Stage 1 quarantine
False Precision confident numbers without method over-updating beliefs on weak evidence Stage 2 sterilize (SNR scoring)
Consensus Infection “everyone says…” communities outsourced thinking → weak conviction Stage 3 distill → assumptions + falsifiers
Reactive Drift constant monitoring contract decay via micro-abandonments batch windows + protocolization only
“If you are distressed by anything external, the pain is not due to the thing itself, but to your estimate of it.”
— Epictetus (operationally: fix the input layer)

The silent metric: update cost

Most people update beliefs too fast because they ignore the cost of being wrong. IDG forces you to ask: If I accept this claim, what actions follow — and what is the downside if it’s false? That one question kills most low-SNR narratives.

PIPELINE Data → Knowledge → Protocol

🗂️Conversion logic: don’t let inputs die as “information”

This is where the Grid becomes a compounding asset. Every processed input either upgrades your operating system or gets archived calmly.

Minimal SNR score (0–10)

  • +3 if it includes method (how the claim was derived).
  • +3 if it includes constraints (what would disprove it, failure modes, boundaries).
  • +2 if it includes primary data (or direct citations to primary data).
  • −4 if it’s designed to provoke arousal (rage, fear, humiliation, tribal language).
  • −2 if it demands immediacy (“now or never”).
Rule: below 6/10 you don’t “debate” it — you quarantine or delete it. Debate is an attention subsidy.

Knowledge asset template (the only allowed output)

  • Claim: one sentence.
  • Assumptions: what must be true for the claim to hold.
  • Evidence quality: primary / secondary / hearsay.
  • Falsifier: what would change your mind.
  • Action delta: what you do differently if accepted.
  • Protocol? yes/no. If yes: name it and codify the steps.
AI CODIFICATION Copy-Ready

🤖Prompts that enforce the Grid (not “advice”)

These prompts force the machine into a security posture: diagnose contamination, score SNR, and output only actionable protocol decisions.

Prompt 8 — Information Contamination Quarantine

Use the moment you notice a narrative pulling you off the 10-year contract. The output must be cold, short, and decisive.

Ω-I · Quarantine + Reaffirm
{
"Role": "You are the M2M Cognitive Filter (IDG). Non-emotional. Security-first.",
"Task": "Quarantine the input narrative and test it against the 10-Year Contract protocols.",
"Input_Narrative": "[PASTE the narrative / claim / message / clip summary]",
"Context": {
"Current Rail at Risk": "[Financial Anchor / Health Rail / Willpower Engine / Time OR / Other]",
"Current State": "[Calm / Stressed / Sleep-deprived / Euphoric]"
},
"Procedure": [
"1) SNR SCORE (0-10): Score the source for method, constraints, primary data, and arousal/triggers.",
"2) CLASSIFY: Is this (A) Data, (B) Opinion, (C) Manipulation, or (D) Memetic hazard?",
"3) CONFLICT CHECK: Does it conflict with any immutable protocols? (Yes/No + which).",
"4) ACTION: Output one decision only: QUARANTINE / DISCARD / DISTILL.",
"5) REAFFIRM: Restate the relevant protocol in one line (the contract is the anchor, not the feeling)."
],
"Output_Format": "DECISION: [..] | SNR: [..] | PROTOCOL: [one-line reaffirmation]",
"Affirmation": "COGNITIVE SOVEREIGNTY MAINTAINED."
}

Prompt 9 — Knowledge Asset Distiller (Data → Owned Asset)

Use only after a source reaches ≥ 6/10 SNR. If it can’t be converted into an asset, it gets archived.

Ω-I · Distill → Protocolize
{
"Role": "You are the M2M Knowledge Asset Engineer. You convert information into durable protocols.",
"Task": "Convert the input into ONE Knowledge Asset and decide if a new protocol is required.",
"Input": "[PASTE the key points / notes / quotations / data you quarantined]",
"Procedure": [
"1) CLAIM: Write the core claim in one sentence.",
"2) ASSUMPTIONS: List what must be true for the claim to hold.",
"3) EVIDENCE QUALITY: Primary / Secondary / Hearsay. Explain in 2 lines max.",
"4) FALSIFIER: What evidence would force an update?",
"5) ACTION DELTA: What changes in behaviour if accepted?",
"6) PROTOCOL DECISION: If Action Delta is non-trivial, create a protocol:",
"   - Name (Ω-? code)",
"   - Trigger condition",
"   - Steps (binary, testable)",
"   - Done-definition"
],
"Output_Artifact": "Knowledge Asset (bullets) + Protocol (if required).",
"Affirmation": "DATA OWNED. NOISE REMOVED."
}

Prompt 10 — Batch Window Commander (Stop Reactive Consumption)

Use this to enforce batch-only intake. It produces a strict schedule window and a kill-list of sources.

Ω-I · Batch Window
{
"Role": "You are the M2M Intake Scheduler. Your job: protect Deep Work and reduce cognitive volatility.",
"Task": "Design a weekly IDG batch schedule and a default-deny source list.",
"Inputs": {
"Available Intake Time": "[minutes per day / days per week]",
"High-Risk Apps/Sources": "[list them]",
"Non-Negotiables": "[sleep window / deep work window / training window]"
},
"Procedure": [
"1) Set TWO batch windows per week (max 45 minutes each).",
"2) Define a quarantine folder naming convention.",
"3) Create a source kill-list (blocked by default).",
"4) Create a shortlist (allowed sources) with SNR justification.",
"5) Output a single enforcement rule: what happens if I break the batch window."
],
"Output_Format": "Schedule + Kill-List + Shortlist + Enforcement Rule",
"Affirmation": "INPUT LAYER HARDENED."
}
© 2025 Made2MasterAI. IDG is a cognitive security protocol — not a content diet.
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Original Author: Festus Joe Addai — Founder of Made2MasterAI™ | Original Creator of AI Execution Systems™. This blog is part of the Made2MasterAI™ Execution Stack.

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