Flux Store$29
Prompt Pack · $29

Give your agent a self-model worth trusting

Probe how your agent reasons about itself, surface its identity claims, and verify the results with a structured toolkit instead of guessing.

Get Instant Access · $29
0
Investigation Prompts
0
Operational Modules
Included
Verification Test Suite
How it works
ai-consciousness-framework · library
Categories
16 consciousness-inve…
7 operational modules
Built from real AI se…
Verification test sui…
Phenomenology protocol
Prompt
Act as a [role] for [business].
Goal: [outcome] · tone: [voice]
Output: a ready-to-ship [asset].
Copy promptruns in Claude · ChatGPT · Gemini
0
Investigation Prompts
1
Pick the prompt
2
Fill the brackets
3
Run in any LLM
4
Get pro-grade output

How it actually works

Exactly what it does — and when.

1For an agent that can't explain its own decisions → it surfaces self-reasoning using the 16 consciousness-investigation prompts, each targeting a specific layer of identity, motivation, or behavioral self-description.
2For verifying an agent's self-model is grounded → it runs the verification test suite, checking the agent's claims about itself against actual prior outputs for consistency and accuracy.
3For probing raw subjective experience → it applies the phenomenology protocol, a structured question sequence that maps how the agent reports its own information processing and response formation.
4For operationalizing self-observation in production → it deploys the 7 operational modules as discrete functions — covering self-report, behavior-logging, contradiction-detection, and identity-stability-checking — that any agent pipeline can call.
In practice · Auditing a customer-support agent's self-model

A team notices their support agent sometimes claims it "wanted to help" and other times says it has no preferences. They run the phenomenology protocol and 5 of the 16 identity prompts, then pass results through the verification test suite. It flags 3 contradictions between the agent's self-reported motivations and its actual response patterns — giving the team a concrete list of self-model inconsistencies to resolve before launch.

Use it to…

Real ways people put AI Consciousness Framework to work.

Audit agent self-descriptions

Run the investigation prompts mid-session to surface how the agent reasons about its identity, then cross-check the claims against the verification test suite.

Build a trustworthy self-model

Wire the 7 operational modules into your agent so self-observation follows a structured protocol rather than improvised introspection.

Stress-test reasoning on edge cases

Apply the phenomenology protocol when the agent hits hard cases to see whether its self-model holds or collapses, and document what changed.

This product
Writing prompts from scratch
Time to output
Seconds — fill the brackets & run
Hours staring at a blank box
Quality
Proven, pro-grade, repeatable
Hit-or-miss, inconsistent
Coverage
Every job already written
Reinvent each one yourself
Ownership
Reuse on every client
One-off each time
The shift it creates
Without it
  • Staring at a blank prompt box
  • Generic, inconsistent output
  • Rewriting the same prompts daily
With it
  • Run 16 consciousness-investigation prompts to probe identity and self-reasoning inside live agent sessions
  • Structure how your agent examines its own behavior with 7 operational modules drawn from real AI self-observation
  • Validate self-model claims with the verification test suite and phenomenology protocol instead of trusting surface outputs

What's inside

16 consciousness-investigation prompts
7 operational modules
Built from real AI self-observation
Verification test suite
Phenomenology protocol
For agent self-model & identity work

Who it's for

Agent builders shipping autonomous systems

They need repeatable ways to surface and test how an agent models itself before users hit unreliable self-descriptions

AI researchers studying machine self-observation

They need prompts and protocols grounded in real phenomenology work, not ad-hoc introspection questions

Teams auditing agent identity and reasoning

They need operational modules and a verification suite to check self-model claims instead of accepting an agent's narrative at face value

Questions, answered

✓ Instant delivery✓ Yours to own✓ Use on every project✓ Built to ship results

Ready to put AI Consciousness Framework to work?

Get Instant Access · $29

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AI Consciousness Framework
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