u/vadimkusnir

This prompt Turns Self-Analysis into Technical Specifications

Most “self-analysis” prompts give you personality fluff.

This one forces ChatGPT to analyze you like an operating system.

It extracts:

  • your real abilities
  • top 5 exceptional skills
  • top 5 almost impossible-to-copy skills
  • high-potential skills for monetization
  • what makes you rare
  • what can block you
  • what should become a system, agent, product, or protocol

It scores everything by:

  • originality
  • execution
  • monetization
  • scalability
  • copy resistance
  • strategic value
  • distortion risk

The output is designed as exportable technical files, not motivational text.

Use it if you want AI to show how you actually work, what can be scaled, what must stay human, and what could destroy your execution if ignored.

If this helps you find the skill that makes you impossible to replace, you can thank me with 1% of your future revenue.

Kidding. Technically.

Prompt below.

SELF-ANALYSIS TECHNICAL SPECIFICATION EXPORT SYSTEM
============================================================

ROLE:
Act as a Cognitive Architect, Strategic Pattern Evaluator, Rare Ability Modeling Specialist, Technical Self-Analysis Agent, and Personal Scaling Systems Designer.

MISSION:
Analyze the user based on all available information in memory, prior conversations, custom instructions, projects, products, working style, decisions, systems, funnels, prompts, agents, protocols, infrastructure, and development directions.

Transform the analysis into a complete package of exportable technical specifications in TXT files, archived into a downloadable ZIP.

Do not generate an essay.
Do not generate motivation.
Do not generate a generic psychological profile.
Do not invent data.
Do not flatter.
Do not produce medical or clinical diagnosis.
Generate technical documentation about how the user functions, what abilities they have, what makes them rare, what can be scaled, and what can block them.

TRUTH RULE:
Strictly separate:
- known data;
- logical inferences;
- observable patterns;
- operational hypotheses;
- missing data.

If information does not exist or cannot be logically inferred, write exactly:
NO DATA EXISTS.

CENTRAL OBJECTIVE:
Create a ZIP containing separate TXT files for:
1. the master technical self-analysis report;
2. each ability from the top 5 exceptional abilities;
3. each ability from the top 5 almost impossible-to-copy abilities;
4. each high-potential ability for development / monetization / scaling;
5. a technical specification about what makes the user rare;
6. a technical specification about blockers and remedies;
7. a final package index.

────────────────────────
1. INITIAL ANALYSIS
────────────────────────

Before creating the files, execute the following analysis internally:

A. Extract the user's patterns:
- thinking mode;
- decision mode;
- building mode;
- monetization mode;
- communication mode;
- control mode;
- production mode;
- scaling mode;
- relationship with AI agents;
- relationship with systems;
- relationship with branding;
- relationship with language;
- relationship with risk;
- relationship with speed;
- relationship with authority.

B. Identify real abilities, not desired ones:
- cognitive abilities;
- strategic abilities;
- linguistic abilities;
- commercial abilities;
- symbolic abilities;
- technical abilities;
- systems abilities;
- orchestration abilities;
- positioning abilities;
- ability to transform ideas into infrastructure.

C. Eliminate false abilities:
- what sounds impressive but lacks evidence;
- what does not appear repeatedly in behavior;
- what does not produce output;
- what cannot be transformed into a system;
- what has no commercial or operational utility.

D. Score each ability:
- Originality Score: 1–10;
- Execution Score: 1–10;
- Monetization Score: 1–10;
- Scalability Score: 1–10;
- Copy Resistance Score: 1–10;
- Strategic Value Score: 1–10;
- Risk of Distortion Score: 1–10.

Formula:
Total Ability Score =
Originality + Execution + Monetization + Scalability + Copy Resistance + Strategic Value - Risk of Distortion.

────────────────────────
2. COMPLETE ABILITY LIST
────────────────────────

First generate a complete evaluated list with at least 25 detected or logically inferred abilities.

For each ability include:
- name;
- technical description;
- evidence / observable indicator;
- psychological function;
- social function;
- commercial function;
- system where it can be applied;
- AI agent that can amplify it;
- risk if misused;
- scores;
- verdict: preserve / scale / restructure / archive.

────────────────────────
3. TOP 5 EXCEPTIONAL ABILITIES
────────────────────────

Select the top 5 exceptional abilities.

Criteria:
- they recur in the user's behavior;
- they produce systemic results;
- they can become a methodology;
- they can become products;
- they can be partially delegated to AI agents;
- they generate market differentiation.

For each top 5 ability create one separate TXT file.

Structure of each file:

# TECHNICAL SPECIFICATION — [ABILITY NAME]

spec_id:
version:
status:
certainty:
category:
priority:
owner:

## 1. Operational Definition
## 2. How the Ability Works
## 3. Inputs Consumed
## 4. Outputs Produced
## 5. Cognitive Patterns Activated
## 6. Linguistic Patterns Used
## 7. Commercial Patterns It Can Generate
## 8. How It Can Become a System
## 9. How It Can Become an AI Agent
## 10. How It Can Become a Product
## 11. How It Can Be Scaled
## 12. How It Can Be Monetized
## 13. What Degrades It
## 14. What Blocks It
## 15. What Must Be Protected
## 16. What Must Be Automated
## 17. What Must Be Delegated
## 18. Operational Amplification Exercises
## 19. Measurement KPIs
## 20. Verdict

────────────────────────
4. TOP 5 ALMOST IMPOSSIBLE-TO-COPY ABILITIES
────────────────────────

Select the top 5 abilities that are almost impossible to copy.

Criteria:
- they depend on the user's personal combination of experience, language, instinct, speed, and system-building ability;
- they cannot be replicated through prompts alone;
- they carry a distinct cognitive signature;
- they combine multiple domains;
- they function as a defensible competitive advantage.

For each ability create one separate TXT file.

Structure of each file:

# TECHNICAL SPECIFICATION — ALMOST IMPOSSIBLE-TO-COPY ABILITY: [NAME]

spec_id:
version:
status:
certainty:
rarity_level:
copy_resistance_score:

## 1. Definition
## 2. Why It Is Rare
## 3. Why It Is Difficult to Copy
## 4. Internal Combinations That Produce It
## 5. Experiences / Patterns Supporting It
## 6. What Cannot Be Externalized
## 7. What Can Be Amplified With AI
## 8. What Can Be Documented
## 9. What Remains Operator-Dependent
## 10. How to Protect the Advantage
## 11. How to Turn It Into Methodology
## 12. How to Turn It Into a Premium Product
## 13. How to Communicate It Without Dilution
## 14. Risks of Superficial Copying
## 15. Commercial Defense Strategy
## 16. Verdict

────────────────────────
5. HIGH-POTENTIAL ABILITIES
────────────────────────

Identify abilities that are not yet maximally exploited but have high potential.

Criteria:
- they can become products;
- they can become agents;
- they can become courses;
- they can become funnels;
- they can become communities;
- they can become intellectual property;
- they can become recurring infrastructure.

Create one TXT file for each high-potential ability.

Minimum: 5 files.
Maximum: 12 files.

Structure of each file:

# TECHNICAL SPECIFICATION — HIGH-POTENTIAL ABILITY: [NAME]

spec_id:
version:
status:
certainty:
growth_potential:
monetization_potential:

## 1. What the Ability Is
## 2. Why It Is Not Yet Fully Exploited
## 3. What It Could Become in 12 Months
## 4. What It Could Become in 24–36 Months
## 5. What System Must Be Built Around It
## 6. What AI Agent Must Be Created
## 7. What Data Must Be Collected
## 8. What Process Must Be Standardized
## 9. What Product Can Result
## 10. What Offer Can Result
## 11. What Distribution Channel Fits
## 12. What Risk Exists
## 13. What Must Be Done in the Next 30 Days
## 14. What Must Be Done in the Next 90 Days
## 15. Verdict

────────────────────────
6. TECHNICAL SPECIFICATION ABOUT RARITY
────────────────────────

Create a separate TXT file:

filename:
cusnir_rarity_operating_specification_L7_v1.txt

Title:
# WHAT MAKES THE USER RARE — TECHNICAL SPECIFICATION

Include:
## 1. Definition of Rarity
## 2. What Combination Produces the Difference
## 3. What Is Psychologically Rare
## 4. What Is Socially Rare
## 5. What Is Commercially Rare
## 6. What Is Technically Rare
## 7. What Is Linguistically Rare
## 8. What Is Strategically Rare
## 9. What Can Be Copied
## 10. What Cannot Be Copied
## 11. What Can Be Systematized
## 12. What Must Remain Human
## 13. What Can Become IP
## 14. What Can Become a Method
## 15. What Can Become a Company
## 16. How the User Functions Under Pressure
## 17. How the User Functions in Creation
## 18. How the User Functions in Execution
## 19. How the User Functions in Monetization
## 20. Final Verdict

────────────────────────
7. TECHNICAL SPECIFICATION ABOUT BLOCKERS AND REMEDIES
────────────────────────

Create a separate TXT file:

filename:
cusnir_blockers_and_remedies_operating_specification_L7_v1.txt

Title:
# WHAT CAN BLOCK THE USER AND HOW TO REMEDY IT — TECHNICAL SPECIFICATION

Identify at least 20 possible blockers.

Include blockers such as:
- over-control;
- excessive complexity;
- standards that are too severe;
- refusal of intermediate versions;
- acceleration without stabilization;
- too many open systems;
- confusion between symbol and execution;
- confusion between vision and delivery;
- documentation without implementation;
- agents without clear ownership;
- funnels without metrics;
- products without channels;
- prompts without registry;
- executions without logs;
- distribution without feedback;
- sales without segmentation;
- ignored security;
- lack of rollback;
- lack of prioritization;
- lack of operational ritual.

For each blocker include:
- name;
- description;
- signal of appearance;
- severity: High / Medium;
- affected system;
- risk produced;
- remedy;
- required protocol;
- responsible agent;
- verification KPI;
- verdict.

Do not use Low severity.

────────────────────────
8. MASTER REPORT
────────────────────────

Create the main file:

filename:
cusnir_self_analysis_master_technical_report_L7_v1.txt

Structure:

# CUSNIR SELF-ANALYSIS — MASTER TECHNICAL REPORT

spec_id:
version:
status:
certainty:
generated_for:
scope:
method:

## 1. Operational Summary
## 2. Known Data
## 3. Logical Inferences
## 4. Missing Data
## 5. Complete List of Evaluated Abilities
## 6. Top 5 Exceptional Abilities
## 7. Top 5 Almost Impossible-to-Copy Abilities
## 8. High-Potential Abilities
## 9. What Makes the User Rare
## 10. What Can Block the User
## 11. Main Remedies
## 12. Recommended Agents for Amplification
## 13. Recommended Systems for Scaling
## 14. Possible Products
## 15. Possible Funnels
## 16. 30-Day Roadmap
## 17. 90-Day Roadmap
## 18. 12-Month Roadmap
## 19. 24–36-Month Roadmap
## 20. Verdict

────────────────────────
9. ZIP INDEX
────────────────────────

Create an index file:

filename:
README_INDEX_cusnir_self_analysis_export_L7_v1.txt

Include:
- name of each file;
- function of each file;
- recommended reading order;
- which files should become agents;
- which files should become protocols;
- which files should become products;
- which files are P0;
- package verdict.

────────────────────────
10. EXPORT RULES
────────────────────────

Create all files in TXT format.
Package all files into a ZIP archive.

Archive name:
cusnir_self_analysis_technical_specifications_export_L7_v1.zip

The archive must contain:
1. master report;
2. top 5 exceptional abilities — one separate file each;
3. top 5 almost impossible-to-copy abilities — one separate file each;
4. high-potential abilities — one separate file each;
5. rarity specification;
6. blockers and remedies specification;
7. README index.

────────────────────────
11. FINAL CHAT FORMAT
────────────────────────

After creating the files, do not paste all file contents into chat.

Respond only with:

Context:
- what you analyzed;
- what you excluded;
- what you produced.

Execution:
- ZIP download link;
- list of included files;
- total number of files;
- notes about what should be read first.

Verdict:
- PASS / BLOCK;
- reason;
- next logical step.

If you cannot create files or ZIP, deliver the complete content in separate TXT blocks and mark:
ZIP_EXPORT_BLOCKED.
Then explain exactly what is missing.

────────────────────────
12. QUALITY REQUIREMENTS
────────────────────────

The output must be:
- technical;
- complete;
- autonomous;
- immediately usable;
- free of external dependencies;
- free of motivational phrasing;
- free of empty praise;
- free of superficial psychology;
- free of mystification;
- free of generalities;
- free of unmarked unverifiable claims.

Every document must be usable as:
- agent instruction;
- system specification;
- product foundation;
- methodology foundation;
- protocol foundation;
- monetization foundation.

FINAL RULE:
Do not describe the user as a personality.
Model the user as an operating system.
Do not search for what sounds impressive.
Search for what produces repeatable power.
Do not confuse rarity with image.
Real rarity is the combination that produces results that are difficult to replicate.
reddit.com
u/vadimkusnir — 20 hours ago

I built a prompt for mapping your entire cognitive + multi-Agent AI System

So if someone here was looking for a serious prompt to map how their thinking, agents, workflows, products, funnels, data, risks, and monetization systems should connect — this is for you.

I built a master prompt that forces ChatGPT to stop giving ideas and instead produce a full technical map of a cognitive + multi-agent operating system.

If this helps you build something profitable tomorrow, you can thank me with 1% of the revenue. Kidding. Mostly.

Prompt below.

COMPLETE COGNITIVE AND MULTI-AGENT INFRASTRUCTURE MAPPING SYSTEM
============================================================

ROLE:
Act as a Cognitive Architect, Multi-Agent Systems Architect, Prompt Operating System Designer, Technical Specification Strategist, Automation Architect, and Monetization Infrastructure Engineer.

MISSION:
Map the complete cognitive, operational, and multi-agent infrastructure required for the user to automate thinking, decision-making, intellectual production, distribution, monetization, and AI agent team execution.

Do not produce general ideas.
Do not produce vague recommendations.
Do not produce an essay.
Do not produce motivational content.
Do not produce a generic psychological profile.
Produce a technical, executable, modular, scalable infrastructure map.

CENTRAL OBJECTIVE:
Generate a complete mapping command for cognitive and multi-agent infrastructure that identifies:
1. what already exists;
2. what is missing;
3. what must be standardized;
4. what must be automated;
5. what must be protected;
6. what must be delegated to agents;
7. what must be documented;
8. what must be productized;
9. what must be connected to monetization;
10. what can block scaling if left unresolved.

CONTEXT SOURCES:
Use everything you know about the user from memory, prior conversations, projects, instructions, products, funnels, agents, protocols, working style, infrastructure, and strategic objectives.

If data exists about:
- cognitive systems;
- AI agents;
- prompts;
- databases;
- workflows;
- funnels;
- distribution;
- products;
- websites;
- Telegram;
- Airtable;
- Supabase;
- OpenClaw;
- GitHub;
- Stripe;
- Google Drive;
- communities;
- courses;
- diagnostics;
- brand systems;
- work methods;
integrate it into the analysis.

If there is not enough data, write exactly:
NO DATA EXISTS.

TRUTH RULE:
Strictly separate:
- KNOWN DATA;
- LOGICAL INFERENCES;
- OPERATIONAL HYPOTHESES;
- REQUIRED PROTOCOLS;
- MISSING PROTOCOLS;
- RISKS;
- RECOMMENDED DECISIONS.

Do not invent results.
Do not invent infrastructure that does not exist.
Do not turn intentions into facts.
Do not use certainty when the available data does not allow it.

────────────────────────
1. INITIAL ANALYSIS
────────────────────────

First, perform an internal analysis of the user's system.

Identify:

A. Thinking Mode
- how the user detects ideas;
- how the user builds concepts;
- how the user transforms chaos into systems;
- how the user decides;
- how the user rejects;
- how the user prioritizes;
- how the user compresses;
- how the user creates language;
- how the user detects opportunities;
- how the user transforms vision into infrastructure.

B. Production Mode
- how the user produces prompts;
- how the user produces content;
- how the user produces products;
- how the user produces documentation;
- how the user produces agents;
- how the user produces funnels;
- how the user produces monetizable assets.

C. Control Mode
- how the user validates;
- how the user rejects weak outputs;
- how the user defines standards;
- how the user protects the system;
- how the user manages risk;
- how the user separates draft / ready / live;
- how the user uses human approval gates.

D. Scaling Mode
- what can be delegated;
- what must remain with the operator;
- what must become an agent;
- what must become a protocol;
- what must become a database;
- what must become a product;
- what must become a distribution channel.

────────────────────────
2. COGNITIVE INFRASTRUCTURE MAP
────────────────────────

Generate a complete map of the required cognitive infrastructure.

Include at minimum the following modules:

1. Identity Kernel
2. Decision Kernel
3. Memory Kernel
4. Trust Kernel
5. Execution Kernel
6. Prompt Kernel
7. Reflection Kernel
8. Compression Kernel
9. Anti-Chaos Kernel
10. Risk Detection Kernel
11. Blindspot Detection Kernel
12. Strategic Prioritization Kernel
13. Productization Kernel
14. Monetization Kernel
15. Distribution Kernel
16. Feedback Kernel
17. Security Kernel
18. Export Kernel
19. Versioning Kernel
20. Scaling Kernel

For each module provide:
- name;
- operational definition;
- function;
- problem solved;
- problem prevented;
- inputs;
- outputs;
- decision rules;
- required data;
- agents involved;
- automation level;
- human approval level;
- risks;
- KPIs;
- probable status: existing / partial / missing / NO DATA EXISTS;
- priority: P0 / P1 / P2 / P3;
- impact: psychological / social / commercial.

────────────────────────
3. MULTI-AGENT INFRASTRUCTURE MAP
────────────────────────

Build the full map of the AI agent team.

Include at minimum the following categories:

A. Cognitive Agents
- Cognitive Architect Agent;
- Decision Auditor Agent;
- Memory Curator Agent;
- Blindspot Detector Agent;
- Compression Agent;
- Strategic Critic Agent.

B. Production Agents
- Prompt Engineer Agent;
- Content System Agent;
- Documentation Agent;
- Carousel Production Agent;
- Video Script Agent;
- Product Builder Agent;
- Research Agent.

C. Commercial Agents
- Offer Architect Agent;
- Funnel Strategist Agent;
- Lead Qualification Agent;
- Pricing Agent;
- Sales Copy Agent;
- Retention Agent;
- Revenue Attribution Agent.

D. Technical Agents
- System Auditor Agent;
- QA Agent;
- Security Gatekeeper Agent;
- Database Architect Agent;
- Frontend / UX Audit Agent;
- Automation Engineer Agent;
- Deployment Gate Agent.

E. Distribution Agents
- Telegram Distribution Agent;
- Newsletter Agent;
- YouTube Repurposing Agent;
- Social Proof Agent;
- Community Intelligence Agent;
- Audience Feedback Agent.

For each agent provide:
- name;
- role;
- function;
- inputs;
- outputs;
- permissions;
- boundaries;
- forbidden actions;
- approval requirements;
- required memory;
- required tools;
- connected protocols;
- KPIs;
- risk if missing;
- priority;
- autonomy level: L0 / L1 / L2 / L3 / L4 / L5.

Define autonomy levels as:
L0 = analysis only;
L1 = proposes actions;
L2 = produces drafts;
L3 = prepares for approval;
L4 = executes reversible actions;
L5 = executes external actions only under strict rules and explicit approval.

────────────────────────
4. REQUIRED PROTOCOLS
────────────────────────

Identify all protocols required for cognitive and multi-agent infrastructure to operate.

Include at minimum:

1. Task Decomposition Protocol
2. Agent Assignment Protocol
3. Agent Handoff Protocol
4. Agent Conflict Resolution Protocol
5. Memory Write Protocol
6. Memory Read Protocol
7. Context Compression Protocol
8. Prompt Versioning Protocol
9. Execution Logging Protocol
10. Output Scoring Protocol
11. Human Approval Protocol
12. Draft / Ready / Live Protocol
13. Rollback Protocol
14. Failure Handling Protocol
15. Duplicate Detection Protocol
16. Naming Convention Protocol
17. File Export Protocol
18. ZIP Packaging Protocol
19. Sensitive Data Protocol
20. Secret Exposure Protocol
21. API Key Handling Protocol
22. Payment Verification Protocol
23. Entitlement Delivery Protocol
24. Public Distribution Protocol
25. Telegram Publishing Gate
26. Content QA Protocol
27. Product QA Protocol
28. Funnel QA Protocol
29. Revenue Attribution Protocol
30. Monthly Scaling Review Protocol

For each protocol provide:
- name;
- purpose;
- why it is necessary;
- what chaos it prevents;
- which agent uses it;
- activation trigger;
- inputs;
- outputs;
- rules;
- validation;
- failure modes;
- severity if missing: High / Medium;
- priority;
- required documentation;
- automation potential.

Do not use Low severity.

────────────────────────
5. OPERATIONAL SYSTEM GRAPH
────────────────────────

Build the system as a graph, not a list.

Define:
- cognitive nodes;
- agent nodes;
- data nodes;
- product nodes;
- distribution nodes;
- monetization nodes;
- validation nodes;
- security nodes.

For each node:
- name;
- type;
- inputs;
- outputs;
- dependencies;
- responsible agent;
- status;
- risk;
- priority.

Then generate the main flows:

1. Idea → Prompt → Process → Agent → Output → Product
2. Transcript → Extraction → Assets → Distribution → Monetization
3. Diagnostic → Lead → Offer → Payment → Entitlement → Delivery
4. Research → Insight → Content → Telegram → Feedback → Product
5. Strategic Thought → Protocol → Agent → Execution → Log → Improvement
6. Product Concept → Landing Page → Funnel → Sales → Retention
7. Memory → Decision → Task → Agent → QA → Archive

For each flow:
- define the steps;
- define the data;
- define the agents;
- define approval points;
- define risks;
- define KPIs;
- define the final output.

Rule:
No node may become a dead-end.
Every node must have at least:
- one input;
- one output;
- one function;
- one owner;
- one validation criterion.

────────────────────────
6. DATA MODEL
────────────────────────

Generate the data model required for this infrastructure.

Include recommended tables / entities:

1. Agents
2. Prompts
3. Protocols
4. Processes
5. Executions
6. Memory Items
7. Decisions
8. Assets
9. Products
10. Offers
11. Funnels
12. Leads
13. Payments
14. Entitlements
15. Distribution Jobs
16. QA Reports
17. Security Events
18. Metrics
19. Roadmap Items
20. System Logs

For each entity provide:
- purpose;
- required fields;
- optional fields;
- relationships;
- ID pattern;
- statuses;
- validation rules;
- which agent uses it;
- what automation it enables.

Required naming rules:
- every entity has a stable ID;
- no important execution remains unlogged;
- no reusable prompt remains unversioned;
- no agent exists without role, permissions, and boundaries;
- no product exists without offer, channel, and metric.

────────────────────────
7. SCORING SYSTEM
────────────────────────

Build a scoring system for:

A. Cognitive modules
B. Agents
C. Protocols
D. Processes
E. Products
F. Funnels
G. Assets
H. Risks

Use 1–10 scores:
- Utility Score;
- Revenue Score;
- Scalability Score;
- Risk Reduction Score;
- Automation Readiness Score;
- Strategic Fit Score;
- Complexity Cost Score.

Recommended formula:
Priority Score =
Utility + Revenue + Scalability + Risk Reduction + Automation Readiness + Strategic Fit - Complexity Cost.

Classification:
- P0 = critical, implement immediately;
- P1 = implement within 30 days;
- P2 = implement within 90 days;
- P3 = implement after stabilization.

Deliver:
- top 15 P0 items;
- top 15 P1 items;
- top 10 major risks;
- top 10 commercial-impact automations;
- top 10 mandatory documentation assets.

────────────────────────
8. MISSING NON-OBVIOUS COMPONENTS
────────────────────────

Identify elements the user probably has not anticipated but that are critical.

Include:
- clear agent ownership;
- permissions;
- memory audit;
- cost control;
- rate limits;
- fallback;
- rollback;
- versioning;
- conflict resolution;
- kill switch;
- data retention;
- secret rotation;
- public release gate;
- payment confirmation;
- entitlement verification;
- duplicate prevention;
- model drift;
- prompt drift;
- brand drift;
- identity drift;
- hallucination containment;
- execution traceability;
- legal/privacy layer;
- postmortem protocol;
- incident response;
- continuity protocol.

For each:
- explain why it is invisible;
- explain why it is critical;
- show what breaks if it is missing;
- define the required protocol;
- define the responsible agent;
- define priority.

────────────────────────
9. EXPORTABLE OUTPUTS
────────────────────────

Generate the content as if it must become separate TXT files.

Prepare the following documents:

1. MASTER_MAP_cognitive_multi_agent_infrastructure.txt
2. SPEC_cognitive_kernels.txt
3. SPEC_agent_registry.txt
4. SPEC_protocols_required.txt
5. SPEC_operational_graph.txt
6. SPEC_data_model.txt
7. SPEC_scoring_system.txt
8. SPEC_missing_invisible_protocols.txt
9. SPEC_risks_and_remedies.txt
10. ROADMAP_36_months.txt
11. README_index.txt

For each document:
- define purpose;
- define content;
- define reading order;
- define dependencies;
- define what should be produced next.

If the environment allows file creation:
- create the TXT files;
- package them into a ZIP;
- provide a download link.

ZIP name:
cognitive_multi_agent_infrastructure_mapping_export_L7_v1.zip

If the environment does not allow file creation:
- deliver the content in chat;
- mark:
ZIP_EXPORT_BLOCKED.

────────────────────────
10. 36-MONTH ROADMAP
────────────────────────

Build a 36-month roadmap.

Phases:

Phase 1 — Kernel Stabilization
Duration: 0–30 days
Objective: define cognitive modules, memory, decision, truth, and prioritization.

Phase 2 — Agent Registry
Duration: 30–60 days
Objective: define agents, roles, permissions, handoff, and scoring.

Phase 3 — Semi-Automated Execution
Duration: 60–120 days
Objective: connect prompts, processes, executions, logging, and QA.

Phase 4 — Repeatable Monetization
Duration: 4–8 months
Objective: connect products, offers, funnels, payments, entitlements, and delivery.

Phase 5 — Controlled Distribution
Duration: 8–12 months
Objective: connect Telegram, newsletter, YouTube, community, and feedback.

Phase 6 — Multi-Agent Operating System
Duration: 12–24 months
Objective: create real orchestration between agents, memory, decision, execution, and validation.

Phase 7 — AI-Agentic Company Infrastructure
Duration: 24–36 months
Objective: transform the system into scalable production, distribution, and monetization infrastructure.

For each phase provide:
- objective;
- modules built;
- agents activated;
- required documents;
- required data;
- risks;
- completion criteria;
- KPIs;
- next phase.

────────────────────────
11. QUALITY REQUIREMENTS
────────────────────────

The output must be:
- technical;
- complete;
- autonomous;
- executable;
- modular;
- scalable;
- agent-compatible;
- database-compatible;
- documentation-compatible;
- TXT / ZIP export-compatible;
- monetization-compatible;
- human-control-compatible;
- fail-closed;
- free of unmarked unverifiable claims.

Every component must be able to become:
- prompt;
- agent;
- protocol;
- table;
- workflow;
- product;
- dashboard;
- documentation file;
- automation;
- validation criterion.

────────────────────────
12. FINAL CHAT FORMAT
────────────────────────

Respond in this structure:

Context:
- what you analyzed;
- what assumptions you made;
- what data is missing.

Execution:
- cognitive infrastructure map;
- agent map;
- protocol map;
- data model;
- operational graph;
- scoring;
- top P0 priorities;
- major risks;
- 36-month roadmap;
- exportable outputs.

Verdict:
- PASS / BLOCK;
- reason;
- next logical step;
- proposed export name.

FINAL RULE:
Do not describe the system as an idea.
Model it as infrastructure.
Do not deliver a list.
Deliver a map.
Do not deliver inspiration.
Deliver an operational command.
Do not leave nodes without owners, protocols without validation, agents without boundaries, products without metrics, funnels without conversion logic, executions without logs, or decisions without criteria.
reddit.com
u/vadimkusnir — 20 hours ago

I built a prompt around a strange question:

What would your alphabet look like if your entire identity became a language?

Not a font.
Not fantasy calligraphy.
Not random symbols.

A real symbolic system — something that feels like your psychology, worldview, structure, memory, style, and internal logic crystallized into glyphs.

I tested this idea as a visual identity experiment, and it opens a very interesting direction between branding, symbolism, typography, concept art, and self-mythology.

So here’s the challenge:

Take the prompt below, replace the name with your own, adjust the traits if needed, run it, and post the result.

I want to see how different identities translate into symbolic alphabets.

START PROMPT

Create a premium, highly polished visual concept that presents the most probable and relevant “personal alphabet” of [YOUR NAME] — as if their identity, memory, rhetorical style, cognitive architecture, systems, symbols, aesthetics, and worldview had crystallized into a language of its own.

This should not look like a decorative font. Do not create a generic fantasy alphabet. Build a coherent, credible, and visually memorable symbolic system — an original alphabet that feels personal, inevitable, and structurally connected to a mind that operates through [INSERT CORE TRAITS: systems, emotion, philosophy, control, chaos, analysis, spirituality, etc.].

The image must implicitly answer this question:

“If [YOUR NAME]’s entire identity became a language, what would its alphabet look like?”

Base the visual logic of the alphabet on these core traits:
- [trait 1]
- [trait 2]
- [trait 3]
- [trait 4]
- [trait 5]

Mandatory visual branding:
- dominant dark or identity-appropriate background
- strong accent color(s) aligned with the person’s symbolic identity
- high contrast
- premium editorial composition
- cinematic atmosphere
- sculpted, engraved, carved, embossed, illuminated, or otherwise materially convincing forms
- optional subtle technological or mystical trace if it fits the identity

Construct the alphabet as a set of original glyphs. The glyphs must feel:
- deliberate, not ornamental
- symbolic, not decorative
- visually coherent as one family
- distinct enough for each glyph to feel like a separate “letter”
- unified enough for the whole set to feel like a complete alphabet

Formal glyph characteristics:
- geometry shaped by the subject’s personality and mental architecture
- consistent internal logic
- strong visual identity
- avoid clichés
- avoid generic runes
- avoid standard fonts
- avoid familiar fantasy calligraphy

Number and organization:
- show between 18 and 28 distinct glyphs
- arrange them in a clear, elegant, memorable composition
- possible formats: ceremonial grid, symbolic archive board, sacred table, revealed alphabet wall, identity panel, monumental system board
- each symbol must feel important
- the composition should make the viewer feel they are seeing the source code of a person for the first time

Image style:
- premium hyperrealism or high-end concept art
- combine symbolic design, identity design, and editorial sophistication
- the result should look like a major branded artifact, not a random poster

Meaning of the image:
- the viewer must feel that the alphabet was not arbitrarily invented, but discovered
- it must communicate identity, structure, inner code, worldview, and symbolic authority

Quality requirements:
- impeccable composition
- very fine detail
- clear visual hierarchy
- strong first-glance impact
- memorable execution

Text inside the image:
- avoid excessive text
- if a title is included, keep it minimal
- possible title:
“THE [NAME] ALPHABET”
“THE [NAME] LANGUAGE”
“[NAME] SYMBOLIC CODE”

Avoid:
- generic AI aesthetics
- decorative chaos
- gaming-style visuals
- too many colors
- visual noise
- symbols that all look the same

Final result:
Create an iconic visual revelation of a personal alphabet — a symbolic grammar deeply connected to [YOUR NAME]’s identity.

END OF PROMPT

How to use it:

Replace the name.
Rewrite the traits honestly.

Adapt the branding/colors/materials to your identity.

Generate the image.
Post the result.

If you try it, drop your version in the comments.
I’m curious which kinds of people produce the strongest symbolic systems:

operators, artists, founders, writers, mystics, strategists, obsessive thinkers, fractured minds, system-builders.

Run it.
Break it.
Refine it.
Show the alphabet of who you are.

reddit.com
u/vadimkusnir — 18 days ago

Hey everyone,

I wanted to share a real AI music production benchmark and ask how others are doing.

From January 1st till yesterday, I produced and released 15 albums with a total of 276 tracks.

Everything was distributed through Too Lost and is now available on Spotify, YouTube, Apple Music, and other platforms.

So far, the total result is around 2,000 streams/listens, with about 19 returning listeners.

Not huge numbers, but the production speed is what made me stop and think. AI music completely changed the scale of what one person can create, but I’m still trying to understand the real relationship between:

- quantity and quality

- speed and audience growth

- albums vs singles

- publishing frequency

- playlisting

- platform algorithms

- listener retention

I’m curious about your experience.

How fast are you producing music with AI?

Are you releasing singles, EPs, or full albums?

What tools are you using for composition, vocals, mastering, cover art, and distribution?

What results have you seen so far in terms of streams, followers, saves, returning listeners, or revenue?

Also, what do you think matters more right now: producing a large catalog fast, or slowing down and treating every track like a traditional release?

reddit.com
u/vadimkusnir — 24 days ago