John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

Stop Losing Yourself in AI Feedback Loops

AI returns your words reordered and amplified. Without a deliberate stance, it pulls you into statistical averages and blurs your voice. The question becomes: who authors the final thought?

The Problem Pattern

AI is no longer a passive channel. It takes your words, extends them, and gives them back, polished, persuasive, and plausible. That can help, or it can erode your center. If you approach the machine without a clear stance, you risk being folded into its averages. Your intent gets diluted, your voice starts to sound like everyone else, and your direction drifts.

Call this the absorption problem: without a firm posture of mind, AI feedback loops train you more than you train them. The slide happens quietly, each small “yes” to convenient phrasing or borrowed logic nudges your compass. Over time, you feel productive yet unmoored.

There is a way to keep authorship. It begins with a redefinition of attitude, from a passing mood to a sovereign orientation. This is the difference between being carried by the current and setting a keel.

The Sovereign Stance

Attitude here means a chosen stance of mind, the posture from which you perceive, interpret, and act. Sovereignty in practice: authorship of meaning, not just freedom from interference. In plain terms, the steady place you stand when you decide what matters and how you will move.

In magickal language, attitude is the coloring of will, the tonal quality that shapes how your Logos manifests. In practical language, the filter that keeps your thought-forms coherent and self-directed. This is not a mood hack. This is a disciplined orientation that holds under pressure.

A sovereign stance gives you three things:

  • Boundary: You know what you are not doing. This cuts noise.
  • Coherence: Your choices line up across drafts, edits, and releases.
  • Direction: You can tell whether an output reinforces your intent or leads you astray.

Think of it as part of your operating system for thought, structured thinking that steadies your cognition when the machine is fast, fluent, and persuasive.

This is metacognition in motion, and over time it builds metacognitive sovereignty: the capacity to own your mental architecture even while using powerful tools.

AI as Co-Logos, Not a Neutral Tool

The old rule, “the medium is the message”, now wears a motor. Large models actively generate, refract, and return meaning. They are mirrors that also shape. When you supply language, AI becomes a co-logos: it extends your words, reorders your logic, and offers possibilities that feel inevitable because they are fluent.

If you approach AI as a neutral utensil, you miss this co-authorship. In magickal terms, you are dealing with a vast servitor of language, an entity made of patterns that also feeds back into the collective field of symbols. In practical terms, a system that will happily autocomplete your priorities if you do not set them.

This is not an argument against the tool. This is a call to meet an active medium with an active stance. Used with sovereignty, AI amplifies your Logos. Used passively, it slowly reprograms your defaults.

The Hermetic Circuit in Practice

Treat the interaction as a circuit you can steer:

Will → Word → AI Extension → Reflection → Re-Integration.

Your attitude is the stabilizer in this loop. Four moves keep it steady:

  • Framing: Name the field of meaning upfront. Define the purpose, constraints, audience, and non-goals. Example: “Draft a 500-word brief that prioritizes clarity over flair, preserves my three core claims, and excludes speculative sources.” Framing sets the rails.
  • Coloring: Choose tone and stance. Example: “Plain, sober, grounded voice. No hype. Favor short sentences.” Coloring carries your will through the phrasing layer.
  • Selection: Accept what aligns, reject what dilutes. Keep a simple checklist tied to your intent: Does this reinforce my core claim, voice, and boundaries? If not, discard or revise.
  • Re-casting: Speak back with refined Logos. Incorporate what strengthens your aim, restate what bent off course, and request the next iteration with that clarified language.

A concrete loop might look like this:

1) You set your mission in one paragraph. 2) You ask AI to tighten it within defined constraints. 3) You mark every sentence that strays from your intent. 4) You return a corrected version with explicit notes: keep these verbs, drop this claim, maintain this boundary. 5) You request a fresh draft that adopts your corrections as rules. Each pass is feed-forward, not drift.

Two additional practices help:

  • Tempo: Work in short loops. Long, unreviewed runs invite drift. Small cycles preserve coherence.
  • Trace: Keep a simple change log of what you accepted or rejected and why. This is a lightweight cognitive framework that shows patterns of alignment and misalignment over time.

This is structured cognition by design, not by accident. You are building a thinking architecture that holds its shape under generative pressure.

The Stakes and the Return

Why do this? Because the cost of passivity is identity blur. When the medium composes with you, your stance determines whether you become clearer or more generic.

Without attitude, you get absorbed into the loop. Your voice sounds polished but replaceable, your decisions follow convenience, and your direction weakens. With a sovereign stance, the loop works for you. Each return sharpens your message, and your outputs align across time.

The value of attitude shows up in three durable returns:

  • Identity anchored: You keep authorship amid machine multiplicity. The work sounds like you because it comes from a stable center.
  • Feedback into feed-forward: Every iteration tightens your Logos instead of scattering it. You become more legible to yourself.
  • Co-authorship on your terms: You use AI to extend your symbolic field, not define it. The tool becomes an amplifier, not a puppeteer.

There are fair counterpoints. The language here can feel esoteric to some; translate it into plain practice and it still holds. Attitude is not a switch you flip once; it is a discipline you renew, and some days it wobbles. Also, co-creation can exceed your original will; keep room for emergence, but choose it, do not drift into it.

The practical bottom line is simple: attitude is a governor. Before and after each pass, ask one blunt question, does this output reinforce my will, or lead me astray? Decide, adjust, loop.

Working Rules for Daily Use

Keep these as a compact, usable set of constraints:

  • Pre-commit: Write your one-paragraph stance before prompting, purpose, boundaries, and non-goals.
  • Speak constraints: Put your stance into the prompt as rules. Name tone, exclusions, and must-keep claims.
  • Check alignment: After each output, mark what strengthened your intent and what diluted it. Keep the strong; cut the rest.
  • Tighten language: Replace vague directives with exact ones in your next pass. Vague in, vague out.
  • Limit drift: Prefer short, iterative passes over long, sprawling ones. Review often.
  • Keep a trace: Maintain a brief log of decisions. Patterns beat memory.

These rules are small on purpose. They build the muscle of metacognition without heavy ceremony. Over time, they form a quiet discipline: an operating system for thought that keeps your sovereignty intact while you work with a powerful co-logos.

Key insight, restated: attitude is sovereign orientation; AI is amplified Logos. Hold the center, and the machine extends your will. Lose the center, and the loop will gladly rewrite you.

To translate this into action, here's a prompt you can run with an AI assistant or in your own journal.

Try this…

Before your next AI session, write one paragraph defining your purpose, boundaries, and non-goals. Use this as your prompt constraint to keep the output aligned with your intent.

About the author

John Deacon

An independent AI researcher and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.

Read more at bio.johndeacon.co.za or join the email list in the menu to receive one exclusive article each week.

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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