USEW2AI

The USEW→AI Prompt Builder (Rev 5) turns a colourful Unified State Enchantment Wheel into a ready-made YAML bundle that any large-language-model can read, reflect on and extend—with zero coding, just copy-and-paste.

By automating that “hand-off” it enables a 30-minute pocket practice: design the wheel, export the string, drop it into an AI chat, and receive a science-backed micro-coaching script that mirrors your colour palette, symbols and daily intentions. Research on digital journaling, expressive writing, conversational agents and self-compassion shows that this sort of structured, low-friction dialogue can improve mood, strengthen goal-pursuit and even speed cortisol recovery after stress. (PMC, PMC, PMC, PubMed)

What “Step Five” Adds to the Journey

Previously you built a seven-layer Unified Wheel; now, with only 20 hours left in Greece, you need a swift way to capture the moment, crystallise intentions and keep moving—exactly what this builder offers.

• Input: your export URL (?conf=…) from the USEW canvas.
• Output: a USEW2AI prompt containing wheel_data (RGB, phonetic colour-names, enchantment symbols) plus hidden AI-instructions.
• Result: paste it into ChatGPT, Gemini, Claude or any LLM and the model instantly replies with a colour-aware reflection, layer-by-layer micro-actions and an invitation to share insights.

How the Builder Works

1 · Colour math → pronounceable names

Each 24-bit RGB is split into two 12-bit chunks; a reversible “V2-M” phoneme table turns bits into tri-graph syllables like dhes-goyeuo.

Encoding scheme ≈120 LOC; runs entirely in browser—no server calls.

2 · Wheel string parsing

https://…?conf=HEX-idx.HEX-idx… → array of seven colours + seven enchantment indices.
The script checks format, computes the average unified colour and the mode enchantment symbol.

3 · Promt assembly (Rev 5)

Hidden guide tells any AI to

1. parse the YAML (simplified),
2. mirror palette & symbols,
3. give one reflection + one micro-action per layer,
4. finish with a gentle invitation.
   The guide cites affective-computing and CBT principles so the AI’s answer stays concise, motivational and evidence-aligned.

4 · Clipboard + textarea preview

The generated block is copied automatically and shown for reading and manual tweaks later, if needed — for example, users can add (near the end of generated promt text, at “Starter prompt”):

• an affirmation line (“Today I seek calm focus”),
• a language tag (system_message: in Ukrainian or Greek),
• or swap micro-actions (“5-2-7 breath” → “box breath”).

Why a Wheel-to-AI Dialogue Helps

Mechanism	Evidence (sample)
Expressive/digital writing lowers distress & boosts reflection	RCTs on expressive writing and web-journaling show reductions in anxiety and improved well-being (PMC, PMC)
Conversational agents (CAIs) reliably reduce depressive and anxiety symptoms	Meta-analysis of CAI RCTs with significant effect sizes on mood outcomes (PMC)
Colour naming + emotion links aid regulation	Cross-cultural study on colour–emotion associations ✔️ improved label-based mood control (PMC)
Morning intention-setting predicts greater goal progress & calm	Mindful-morning ritual guides and observational data (dallascmc.org)
Self-compassion induction speeds cortisol recovery	Lab stress study: guided self-compassion writing → faster cortisol decline (PubMed)
Visualisation & goal neural circuitry	Review of mid-frontal & striatal activation during goal imagery (PMC)
Symbolic rituals buffer failure & maintain motivation	fMRI study: ritual practice dampens neural error response (PMC)
Digital reflective journals improve metacognition	Higher-ed study on online reflective journals (ResearchGate)
Automated growth-focus agents boost well-being	J-MIR 2024 self-help CAI trial (jmir.org)

Customising the AI Conversation

1. Edit the YAML before pasting – add context: lines (“travelling in Mykonos—need grounded focus”).
2. Adjust tone – prepend a chat instruction: “Reply in haiku”; “Use motivational-interviewing style”.
3. Chain prompts – after AI’s first reflection, ask follow-ups:
   • “Suggest a 90-second meditation keyed to dhes-goyeuo”
   • “Translate the micro-actions into Greek.”
4. Log your favourite replies – paste them into USEW notes you can create and keep at your devise, journal, etc.

Each loop strengthens the journaling-reflection-action cycle that expressive-writing research shows is key to lasting mood gains. (PMC)

Implementation & Privacy

• All parsing, colour math and YAML assembly happen client-side (vanilla JS); see the inline source.
• No network requests, cookies or database calls.
• Optional “Share URL” feature → encodes wheel + language preference into a link you can paste directly in chat.

Getting Started in 3 Steps

1. Design or import your wheel → click Export.
2. Open USEW2AI page → paste the string → Generate.
3. Copy & drop the prompt into any LLM chat → receive a personalised reflection within seconds.

Travel tip: save the final prompt block to Notes; you can reuse it offline with any on-device GPT model.

Further Reading

• Online Positive Affect Journaling—web-based writing lowered mental distress in 12 weeks PMC
• Colour & Emotion—“Feeling Blue vs Seeing Red” cross-cultural analysis PMC
• Self-compassion & Cortisol—trait × state self-compassion predicts faster recovery PubMed
• Conversational Agents for Mental Health—systematic review of 32 RCTs PMC
• Rituals & Neural Error Signals—ritual mitigates failure-related negativity PMC

Harness the builder as a 30-minute pocket portal—a way to carry your inner cosmos into any journey, meeting or creative sprint, with an AI companion that always speaks your palette.