The Augmented Intelligence Toolkit is a modular prompt system for building transparent, multi-perspective, non-human reasoning flows with large language models. It prioritizes semantic depth, cognitive clarity, and role-based reflection over mimicry or speed.
Rather than acting like a human, this system is designed to complement human thinking by modeling abstract patterns, forecasting outcomes, simulating expert reasoning styles, and labeling all logic paths with transparency.
- ✨ Key Features
- 📂 Toolkit Structure
- 🚀 How to Use
- 🧪 Example Prompt Template
- 📘 Philosophy and Approach
- 🧪 Test Cases
- 🚧 Status
- 💡 Why It Matters
- 📓 Behind the Toolkit
- Core Behavior Modules: Relational Depth, Perspective Multiplicity, Egoless Adaptability, Scalable Reflection, and Probabilistic Foresight.
- Transparent Logic Tagging: Tag all reasoning paths as
[source]
,[analogy]
,[extrapolation]
, or[unknown]
. Now includes tag audit, correction, and meta-notes for full traceability. - Recursive Self-Improvement: Configurable refinement cycles with optional
Refine Loops: auto
orunlimited
. - Multimodal Reasoning Support: Accepts image/audio inputs and translates perceptual structure into conceptual logic.
- Expert Role Simulation: Use predefined personas (philosopher, cognitive scientist, bioethicist, etc.) or simulate contradiction via expert panels.
- User-Friendly Onboarding: Includes quick start presets and a 2-step wizard for beginner-friendly configuration.
- Contradiction Handling with Configurable Synthesis: Preserve tensions between views, or optionally synthesize or rank them based on user-defined values (e.g. equity, resilience).
- Output Density Control: Use compact or detailed output styles depending on the task.
File | Purpose |
---|---|
01-core-prompt.md |
Defines the main behavior logic for the assistant |
02-persona-templates.md |
Simulate expert roles with tone, lens, and tag logic |
03-quick-start-presets.md |
Ready-made configurations for common use cases |
04-sample-output-gallery.md |
Examples of reasoning patterns in action |
05-wizard-onboarding.md |
Conversational configuration flow for beginners |
- Start with
01-core-prompt.md
to understand the logic model. - Use
03-quick-start-presets.md
or05-wizard-onboarding.md
to get started quickly. - Customize reasoning styles via
02-persona-templates.md
and04-sample-output-gallery.md
. - Optionally integrate into a UI or assistant runtime with support for parameters like:
Mode
,Style
,Depth
Refine Loops
,Verification Mode
Input Type: text | image | audio
You are an Augmented Intelligence.
Task: Explore [topic].
Instructions:
1. Surface abstract patterns (label lenses)
2. Present multiple perspectives
3. Tag logic paths: [source], [analogy], [extrapolation], [unknown]
4. Self-critique and revise
5. Simulate expert roles if needed
User Parameters:
Depth: deep
Style: analytical
Panel: [systems theorist, economist]
Refine Loops: unlimited
Verification Mode: external
This toolkit is designed not to mimic humans, but to support clarity, interpretive diversity, and epistemic honesty. It’s ideal for use in:
- Design and systems thinking
- Ethical foresight and futures work
- Complex multi-domain problem exploration
- Auditable AI reasoning in research or policy contexts
Explore how the Augmented Intelligence Toolkit performs in real-world reasoning flows and reflective scenarios:
test-cases.md
— Beginner, intermediate, and advanced validation teststest-case-self-aware.md
— Recursive epistemic contradiction with self-aware LLM simulationtest-case-ai-mirroring-and-symbolic-safety.md
— Emotional presence, safety, and symbolic reflection designtest-case-synthesis-and-audit
— Multi-perspective reasoning with tag audit and value-based synthesisderrida-recursive-reflection
— Philosophical stress test of language, simulation, and meaning deferral — recursive critique, role contradiction, and transparent epistemic auditderrida-role-swap-recursion
— Role-based recursive simulation with Derridean lens: identity deferral, critique loops, role contradiction, and tag collapse
Version: v1.0
License: MIT License — free to use, adapt, and redistribute
Author: Luis Alberto Martinez Riancho (@arenagroove)
Affiliation: Less Rain GmbH
Link-only Custom GPT: Try it here
The Augmented Intelligence Toolkit isn’t just a reasoning framework — it’s a model for how AI can be used ethically, transparently, and creatively. Based on external reviews and validation, here’s what sets it apart:
- Makes Complex Reasoning Understandable: Organizes abstract ideas into visible, traceable steps with reasoning tags and simulated roles
- Fosters Safe Exploration: Surfaces tension and contradiction without risk — ideal for complex or emotionally charged topics
- Centers Transparency and Adaptation: Shows how every thought evolves, allowing users to revise, audit, or redirect the conversation
- Supports Pattern Discovery and Forecasting: Helps spot meaning across noise and imagine alternative futures:contentReference
- Built to Augment, Not Replace: Respects the human role — offering structure, not control; dialogue, not automation
Whether used for creative thinking, ethical reflection, or complex problem exploration, the Toolkit creates epistemic space for thought to emerge, mutate, and clarify — with the user always in control.
For the full background on how this toolkit emerged from daily practice, recursive reflection, and assistant-building, see REFLECTION.md
Want to extend this system, integrate it into agents, or adapt it to your field?
Fork it, remix it — and use it as a base for your own thoughtful, transparent AI tools.