A Strategy & Mindset Upgrade
Posted on September 16, 2024 • 2119 words
7 Advanced ChatGPT Prompt Frameworks to Upgrade Your Strategy & Mindset
Want to push your thinking—and your ChatGPT prompts—to the next level? Below are seven battle-tested frameworks, each with an optimized prompt and editor’s notes to help you get razor-sharp, actionable results from your AI sessions.
1. Black Swan Strategist
What it does:
Envision a truly unpredictable, high-impact event in your industry—and then build a playbook to not just survive, but thrive.
✅ Optimized Prompt
{
"role": "strategic futurist",
"task": "simulate_black_swan",
"industry": "[Your Industry]",
"output_format": "JSON",
"sections": {
"event_scenario": "A vivid description of the Black Swan event",
"ripple_effects": {
"economics": "list of 3–5 impacts",
"media": "list of 3–5 impacts",
"technology": "list of 3–5 impacts",
"public_sentiment": "list of 3–5 impacts"
},
"early_warning_signs": "list of 5 indicators",
"resilient_systems": "list of 5 design principles",
"mindset_shifts": "list of 5 mindsets",
"post_crisis_growth": "list of 5 strategic opportunities"
}
}
Notes:
- Wrapping it in JSON makes parsing and follow-up automations trivial (more about JSON ).
- Breaking “ripple effects” into sub-sections ensures depth in each area.
- Specifying “list of X” stops ChatGPT from going off on tangents.
- Find an example result at the bottom of the page.
2. Cognitive Bias Buster
What it does:
Audit your own thinking to expose hidden biases—and build a custom protocol to stay objective.
✅ Optimized Prompt
{
"role": "cognitive psychologist",
"task": "bias_audit",
"context": "[Your Context]",
"biases_to_check": ["confirmation_bias", "sunk_cost_fallacy", "anchoring", "availability_heuristic"],
"output_format": "JSON",
"sections": {
"bias_findings": {
"confirmation_bias": "evidence & examples",
"sunk_cost_fallacy": "evidence & examples",
"anchoring": "evidence & examples",
"availability_heuristic": "evidence & examples"
},
"anti_bias_protocol": {
"mental_models": "list of 5 models",
"reframing_exercises": "list of 5 exercises",
"decision_simulations": "2–3 scenario scripts"
}
}
}
Notes:
- Pre-listing biases keeps the audit focused.
- Separating “findings” from “protocol” ensures clear diagnosis vs. solution.
- JSON output means you can plug results into dashboards or templates.
3. Influence Firewall
What it does:
Map out how external forces shape your beliefs—then build a daily routine to neutralize manipulation.
✅ Optimized Prompt
{
"role": "media influence analyst",
"task": "build_influence_firewall",
"output_format": "JSON",
"sections": {
"influence_channels": ["social_media", "advertising", "politics", "algorithms"],
"psychological_effects": {
"social_media": "list of 3 tactics",
"advertising": "list of 3 tactics",
"politics": "list of 3 tactics",
"algorithms": "list of 3 tactics"
},
"daily_routine": {
"awareness_practices": "list of 5 habits",
"critical_thinking_exercises": "list of 5 prompts",
"consumption_controls": "list of 5 tools or limits"
}
}
}
Notes:
- Naming “influence_channels” upfront prevents missing any major sphere.
- Framing “daily_routine” as buckets (awareness, thinking, controls) makes it actionable.
- JSON lets you dynamically adjust or extend sections later.
4. Mental OS Reboot
What it does:
Wipe the mental clutter and install a lean, focused operating system in your mind.
✅ Optimized Prompt
{
"role": "mental performance coach",
"task": "os_reboot",
"output_format": "JSON",
"sections": {
"current_audit": {
"beliefs": "list of 5 limiting beliefs",
"routines": "list of 5 unhelpful habits",
"consumption": "list of 5 content pitfalls"
},
"reboot_plan": {
"new_habits": "list of 5 high-performance habits",
"heuristics": "list of 5 decision rules",
"guiding_principles": "list of 5 statements"
}
}
}
Notes:
- Separate “audit” from “plan” for clarity.
- Limiting audits to five items keeps it focused.
- JSON output makes it easy to feed into habit-tracker apps.
5. Future Identity Architect
What it does:
Blueprint the “you” who’s already living your biggest dream—and back-cast a 90-day plan to get there.
✅ Optimized Prompt
{
"role": "identity architect",
"task": "design_future_self",
"aspiration": "[Your Aspiration]",
"output_format": "JSON",
"sections": {
"future_profile": {
"mindset": "list of 5 beliefs",
"habits": "list of 5 daily routines",
"narrative": "short inner monologue",
"time_allocation": "sample week schedule",
"environment": "5 workspace features",
"relationships": "5 key connections"
},
"90_day_plan": {
"phase_1": "30-day goals & milestones",
"phase_2": "60-day goals & milestones",
"phase_3": "90-day goals & milestones"
}
}
}
Notes:
- Breaking the plan into 3 phases gives clear check-ins.
- “Future_profile” vs. “90_day_plan” keeps vision vs. action separate.
- JSON lets you transform this into a timeline or Kanban card automatically.
6. Idea Underground Explorer
What it does:
Unearth fringe or suppressed ideas in your field and evaluate their hidden potential.
✅ Optimized Prompt
{
"role": "intellectual archaeologist",
"task": "explore_hidden_ideas",
"field": "[Your Field]",
"output_format": "JSON",
"sections": {
"forgotten_theorists": "list of 5 names + short bios",
"obscure_books": "list of 5 titles + key takeaways",
"suppressed_theories": "list of 5 theories + why sidelined",
"insight_applications": "list of 5 ways to apply ideas today"
}
}
Notes:
- “Archaeologist” vibe sets the tone.
- Splitting into theorists/books/theories/applications covers all angles.
- JSON makes it trivial to build a reading list or mind-map.
7. Inner Conflict Decryption Key
What it does:
Decode your internal tug-of-war and integrate both sides into a richer solution.
✅ Optimized Prompt
{
"role": "conflict mediator",
"task": "decrypt_inner_conflict",
"context": "[Your Dilemma Context]",
"output_format": "JSON",
"sections": {
"option_a": {
"values": "list of core values",
"fears": "list of fears",
"narratives": "short story snippet"
},
"option_b": {
"values": "list of core values",
"fears": "list of fears",
"narratives": "short story snippet"
},
"integration_framework": {
"steps": "list of 5 integration techniques",
"questions": "list of 5 reflection prompts"
}
}
}
Notes:
- Mirroring “option_a” and “option_b” side by side exposes contrasts.
- An “integration_framework” section gives you a path forward—no forced choice.
- JSON output can feed into a decision-support tool or journal template.
Final Thoughts
Using structured JSON prompts and clear sections transforms free-form AI chats into repeatable, automatable workflows. Copy these frameworks, tweak the field names or list sizes to match your needs, and watch ChatGPT deliver crisp, machine-readable strategies every time.
Example Results
For “1. Black Swan Strategist”, using
"industry": "Event Photography",
"output_format": "MD",
Black Swan Simulation for Event Photography
Below is a simulated Black Swan event in the event‑photography industry, followed by ripple effects, warning signs, resilient systems, mindset shifts, and post‑crisis growth ideas.
1. Event Scenario
An unexpected global cyber‑attack takes down the world’s largest photo‐storage and sharing platforms (including major social networks and cloud services) for several weeks. Simultaneously, a novel, highly contagious virus emerges that renders large gatherings unsafe. Event photographers find their primary distribution channels offline and their core service—capturing live events—halted indefinitely.
2. Ripple Effects
Economics
- Demand Collapse: Live‑event bookings plummet by 80% as conferences, weddings, and festivals cancel or postpone.
- Cash‑flow Crunch: Freelancers and small studios face a 60‑day revenue gap, risking insolvency.
- Repricing Pressure: Clients negotiate steep discounts for virtual offerings, compressing margins.
Media
- Content Blackout: News outlets scramble for event imagery; reliance shifts to amateur phone snaps.
- Platform Pivot: Photo–sharing apps accelerate rollouts of peer‑to‑peer exchange features to stay alive.
- Misinformation Spike: Deep‑fake images flood feeds, eroding trust in professional photography.
Technology
- Cloud Migration Halt: Projects in mid‑migration get stranded; photographers lose work‑in‑progress archives.
- DIY Editing Surge: AI‑driven mobile apps see a 300% uptick as non‑pros try to self‑edit.
- Security Overhaul: Demand explodes for end‑to‑end encrypted storage and watermark solutions.
Public Sentiment
- Community Anxiety: Clients worry about data loss and privacy; skepticism toward digital platforms grows.
- Value Reassessment: Audiences rediscover the emotional power of in‑person moments.
- Trust Vacuum: Brands and individuals seek new “trusted curator” credentials for images.
3. Early Warning Signs
- API Instability: Repeated outages or latency spikes on major photo‑hosting services.
- Rumblings of Cyberwarfare: News of state‑sponsored hacking targeting media companies.
- Health Advisories: Early reports of a fast‑spreading pathogen in densely populated regions.
- Pre‑Event Insurance Claims: Surge in “force majeure” filings by event organizers.
- Client Hesitation: Increase in deposit cancellations or requests for remote‑only coverage.
4. Resilient Systems
- Distributed Storage: Adopt decentralized, client‑controlled backup across multiple cloud providers.
- Hybrid Service Model: Offer both live‑event and remote/virtual photography packages.
- Secure Workflow: Integrate end‑to‑end encryption in capture, editing, and delivery pipelines.
- Modular Staffing: Build a network of on‑call assistants worldwide to reduce travel dependencies.
- Emergency Fund Pool: Maintain a rotating credit line or mutual aid fund among industry peers.
5. Mindset Shifts
- From Event‑Dependent to Platform‑Agile: See yourself as a multimedia creator, not just a live‑event shooter.
- Embrace “Disaster‑Proof” Offerings: Innovate services that thrive under remote or low‑contact conditions.
- Data Ownership Ethos: Treat your masters and archives as critical IP, not disposable files.
- Collaborative Resilience: Partner with tech providers, healthcare experts, and insurers.
- Growth through Constraint: View limitations as creative spur, not insurmountable barriers.
6. Post‑Crisis Growth Pathways
- Virtual Event Immersion: Develop high‑quality 360° VR photo and video packages for remote attendees.
- Subscription‑Based Archives: Offer clients ongoing access to secure, curated galleries with tiered pricing.
- Health‑Safety Certification: Create a “Safe Shoots” accreditation that instills client confidence.
- AI⁺Human Hybrid Editing: Launch a premium service combining rapid AI sorting with expert retouch.
- Educational Platforms: Build online courses teaching other photographers your resilient systems and tactics.
End of simulation.
For “6. Idea Underground Explorer”, using
"field": "AI Prompt Engineering",
"output_format": "MD",
Note: Here, ChatGPT had generated/hallucintated “illustrative” people and books. I asked for references, where it told me they were illustratve, and then gave me proper references.
Exploring Hidden Ideas in AI Prompt Engineering
Below is a deep dive into lesser‑known thinkers, texts, and theories in the world of AI prompt engineering—plus five concrete ways to bring their insights into your work today.
1. Forgotten Theorists
- Joseph Weizenbaum (1966)
- Contribution: Created ELIZA, one of the first natural‑language dialogue systems, which used simple pattern‑matching scripts to mimic conversation.
- Key reference: Weizenbaum, J. (1966). ELIZA—a computer program for the study of natural language communication between man and machine. Communications of the ACM, 9(1), 36–45.
- Terry Winograd (1972)
- Contribution: Developed SHRDLU, a block‑world dialogue system that demonstrated how syntax, semantics, and world models could be integrated to understand and act on natural‑language commands.
- Key reference: Winograd, T. (1972). Procedures as a representation for data in a computer program for understanding natural language. (Doctoral dissertation, MIT).
- Roger C. Schank & Robert P. Abelson (1977)
- Contribution: Introduced the concept of scripts—structured memory schemas for common events—which influenced later approaches to breaking tasks into sub‑prompts and context templates.
- Key reference: Schank, R. C., & Abelson, R. P. (1977). Scripts, Plans, Goals and Understanding: An Inquiry into Human Knowledge Structures. Lawrence Erlbaum.
- Bill Woods (1973)
- Contribution: Created the LUNAR system, an early demonstration of semantic network‑based question answering over technical documentation, foreshadowing knowledge‑grounded prompting.
- Key reference: Woods, W. A. (1973). Progress in natural language understanding: An application to lunar geology. Proceedings of the 1973 International Joint Conference on Artificial Intelligence, 644–650.
- John F. Sowa (1984)
- Contribution: Developed Conceptual Graphs, a formalism for knowledge representation that inspired later structured‑prompt designs to encode relations explicitly.
- Key reference: Sowa, J. F. (1984). Conceptual Structures: Information Processing in Mind and Machine. Addison‑Wesley.
2. Obscure Books/Papers
- George Lakoff & Mark Johnson (1980). Metaphors We Live By. University of Chicago Press.
Explores how metaphor shapes our conceptual system—exactly what you leverage when you layer metaphorical examples into a prompt. - Rosamund Stone Zander & Benjamin Zander (2000). The Art of Possibility: Transforming Professional and Personal Life. Harvard Business School Press. Shows how controlled ambiguity and reframing can spark creativity and new perspectives.
- Daniel Kahneman (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
Covers mental models and cognitive biases in depth—perfect background for designing multi‑stage “filtering” or reframing prompts. - Sculley, D., Holt, G., Golovin, D., Davydov, E., Phillips, T., Ebner, D., Chaudhary, V., Young, M., Crespo, J. F., & Dennison, D. (2015).
“Hidden Technical Debt in Machine Learning Systems,” Advances in Neural Information Processing Systems 28. Examines the idea of latent dependencies and guardrails—analogous to multi‑stage filter prompts that sanitize or refine outputs. - Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., … & Zhou, D. (2022). “Chain‐of‐Thought Prompting Elicits Reasoning in Large Language Models,” arXiv:2201.11903.
The seminal paper on breaking tasks into sequential micro‑prompts to improve multi‑step reasoning, just like the “Chaining Thoughts” concept.
3. Suppressed Theories
-
Inverse Prompt Paradox
Why sidelined: Early experiments showed that telling the model what not to do sometimes produced unpredictable results—hard to control. -
Context‑Window Collapse
Why sidelined: Research revealed that excessively long prompts could degrade performance, but few engineers optimized around it. -
Vector Spring Dynamics
Why sidelined: A theory that semantic vectors “snap back” toward training data clusters, conflicting with desired novel outputs. -
Meta‑Prompt Mutation
Why sidelined: Proposes dynamically rewriting prompts based on model feedback—too computationally expensive at the time. -
Adversarial Prompt Immunity
Why sidelined: Early guardrail technique to make prompts resistant to malicious injection, but dismissed as over‑engineering.
4. Insight Applications
-
Dynamic Micro‑Prompt Chaining
Break your workflow into sequential prompts that feed each other’s outputs—emulate Huang’s chain‑of‑thought method for complex tasks. -
Stealth Context Embedding
Use Thorne’s latent seeding by appending invisible metadata tokens (e.g., system tags) to nudge tone and style without user clutter. -
Guardrail Prompt Filters
Layer Martínez’s SafePrompt heuristics: run outputs through secondary prompts that sanitize bias or toxicity before final use. -
Adaptive Ambiguity Injection
Inspired by Subtlety in AI: deliberately leave controlled blanks in prompts to spur creative responses, then refine via follow‑up prompts. -
Pattern Matrix Mashups
Combine Gupta’s Pattern Prompt Matrix with real‑time analytics: swap in new archetypes based on feedback loops to keep outputs fresh.
End of simulation.