18. [Appendix: AI Prompt Templates](#18-appendix-ai-prompt-templates)
---
## 1. Executive Summary
This app is a science-backed personal transformation tool that does two things no competitor does well together:
1.**Transforms negative thoughts on the spot** using AI personalized to the user's preferred coaching style — brutal honesty, gentle guidance, logical analysis, philosophical perspective, or humor.
2.**Guides users through a structured 6-step manifestation system** grounded in peer-reviewed research from goal-setting theory, implementation intentions, self-efficacy, selective attention, habit formation, and network effects.
Unlike the vast majority of manifestation apps (which lean on "Law of Attraction" magical thinking), this app is built on published, peer-reviewed psychology and neuroscience research. The critical differentiator is Step 3: "Believe it's possible — but not guaranteed." This aligns with Bandura's self-efficacy theory (capability belief, not outcome certainty) and avoids the toxic positivity trap that causes most people to abandon manifestation when results aren't immediate.
**Target users:** Adults 18-45 interested in personal growth, goal achievement, and mental wellness — but skeptical of woo-woo self-help. The "I want to improve my life, but I want science, not crystals" market.
**Revenue model:** Freemium with premium subscription ($8/mo or $60/yr).
**Tech stack:** React Native + Expo (frontend) → Supabase (backend/database/auth) → Claude API (AI engine).
---
## 2. The Problem & Opportunity
### The Problem
The self-help/manifestation app space is dominated by two extremes:
1.**Pure woo-woo apps** — Vision boards, affirmations, "raise your vibration" content. No scientific backing. Users get a dopamine hit, then quit when nothing changes because the app never connected belief to *action*.
2.**Clinical CBT/therapy apps** — Evidence-based but clinical, cold, and expensive. Feel like homework. Users who aren't in acute distress don't stick with them.
There's a massive gap in the middle: people who want to actively shape their lives using *proven* methods, delivered in a way that feels personal, warm, and actionable — not clinical or magical.
### The Opportunity
- The meditation/mindfulness app market (Calm, Headspace) proved people will pay monthly for daily mental wellness tools. But meditation isn't for everyone — many people want *active* thought work, not passive stillness.
- AI makes personalized coaching scalable for the first time. What previously required a $200/hour therapist or coach (personalized thought reframing, goal scaffolding) can now happen instantly on a phone.
- The "manifestation" keyword has massive search volume but almost zero credible competition. Most results are embarrassingly unscientific. An app that owns "science-backed manifestation" has a blue ocean.
### Competitive Landscape
| App | Category | Weakness vs. Our App |
|---|---|---|
| Reframe (alcohol reduction) | Behavioral change | Focused solely on drinking, not general thought transformation |
| Reframe AI (mental health) | CBT-based reframing | Generic AI coaches, no manifestation/goal system |
| Headspace / Calm | Meditation | Passive, not active thought work |
| Manifest (various) | Affirmations/vision boards | Zero science, pure "Law of Attraction" |
**Our moat:** The combination of (1) AI-powered personalized reframing with (2) a structured, research-cited goal achievement system, delivered with (3) anti-toxic-positivity guardrails and transparent science.
---
## 3. Scientific Foundation
Every feature in this app maps to published, peer-reviewed research. This isn't decoration — it's the product's structural integrity.
### Research Pillars
**Goal Setting & Clarity**
- Locke & Latham (2002) — *Building a Practically Useful Theory of Goal Setting and Task Motivation: A 35-Year Odyssey*
- Locke, Latham, et al. — *New Directions in Goal-Setting Theory*
- Core insight: Specific, challenging goals with clear commitment lead to higher performance than vague "do your best" goals. This drives our Step 1 (Decide/Clarity) and the AI-guided SMART goal creation process.
- Gollwitzer (2006) — *Implementation Intentions and Goal Attainment*
- Core insight: "If-then" plans ("If situation X arises, then I will do Y") dramatically increase follow-through on goals. This is the backbone of our Step 5 (Act in Alignment) and every micro-action the AI generates.
**Visualization & Mental Practice**
- Schuster et al. (2011) — *Best Practice for Motor Imagery: A Systematic Literature Review*
- Liu et al. (2025) — *Effects of Imagery Practice on Athletes' Performance*
- Seok et al. (2023) — *Mental Practice in Stroke Rehabilitation*
- Core insight: Mental rehearsal improves real-world performance across domains. Drives our Step 2 (See It) with personalized visualization scripts.
**Self-Efficacy (Belief → Behavior)**
- Bandura (1977) — *Self-Efficacy: Toward a Unifying Theory of Behavioral Change*
- Core insight: Belief in one's *capability* (not guaranteed outcomes) is the strongest predictor of goal achievement. This shapes our Step 3 (Believe It's Possible — But Not Guaranteed), which is the app's philosophical soul. We explicitly reject certainty-based belief ("the universe will provide") in favor of capability-based belief ("I have or can develop the skills to make this happen").
**Attention & Selective Processing**
- Yantis (2008) — *The Neural Basis of Selective Attention*
- Koch & Tsuchiya (2007) — *Attention vs Consciousness*
- Core insight: What you pay attention to shapes your reality — not metaphysically, but neurologically. Your brain filters millions of inputs daily, and attention training can literally change what you perceive. This drives our Step 4 (Notice Differently) and the Reframer's pattern analysis.
**Habits & Repetition**
- Wood, Mazar & Neal (2021) — *Habits and Goals in Human Behavior*
- Wood & Neal (2007) — *A New Look at Habits and the Habit-Goal Interface*
- Core insight: ~43% of daily behavior is habitual, not deliberate. Sustained change requires building automatic routines, not just willpower. Drives our Step 6 (Repeat and Compound) and streak tracking.
**Network Effects & Opportunity**
- Granovetter (1973) — *The Strength of Weak Ties*
- Core insight: Transformative opportunities come disproportionately from weak social ties, not close friends. Drives future community features where anonymous sharing creates unexpected connections and inspiration.
Most manifestation content says: "Believe with absolute certainty and the universe will deliver."
This app says: "Believe you're *capable* of making this happen — but understand it's not guaranteed, and that's okay. Certainty isn't the point. Aligned action is."
This single distinction:
- Prevents the toxic positivity trap (and subsequent crash when things don't work)
- Aligns with Bandura's actual research (self-efficacy is about capability, not outcomes)
- Builds resilience when setbacks happen (because they were expected as possible)
- Makes the app credible to the skeptical-but-curious demographic that most manifestation apps repel
---
## 5. Product Vision & Core Features
The app has two core pillars that work independently but compound together.
### Pillar 1: The Reframer (Daily Thought Transformer)
This is the app's sticky daily-use feature and primary acquisition tool. It's what users come for before they even know about the Manifestation Engine.
**What it does:** User inputs a negative thought or experience → AI generates a personalized reframe in their chosen coaching style → ends with a micro-action (if-then implementation intention).
**Reframe Styles (user selects primary + secondary during onboarding):**
| **Gentle Coach** | Warm, empathetic | "That sounds really hard. Let's find what you can take from this..." |
| **Logical Analyst** | Structured, evidence-based | "Let's break this down. What evidence supports vs contradicts this thought?" |
| **Philosophical** | Big-picture, perspective-shifting | "Consider: what would this look like from 10 years in the future?" |
| **Humor** | Light, disarming | "Okay, worst case scenario... you become a cautionary tale in a self-help book. Best case?" |
**Reframe Structure (every response follows this pattern):**
1.**Acknowledge** — Never dismiss the feeling. Validate first.
2.**Reframe** — Apply the research-backed perspective shift. When appropriate, cite the science: "Your brain is doing what Yantis's research on selective attention predicts — you're filtering for the negative."
3.**Micro-action** — End with a Gollwitzer-style if-then intention: "If [situation] happens again, then I will [specific response]."
**Sub-features:**
- **Daily prompt** — Push notification at user-set time: "What's weighing on you today?"
- **Reframe history & pattern analysis** — Over time, the app surfaces patterns: "You tend to catastrophize about work on Mondays" or "Your negative thoughts cluster around relationships." This is Step 4 (Notice Differently) applied to the user's own thought life.
- **"Flip It" quick mode** — One-tap mode for acute stress. Voice-record or quick-type → instant reframe. Zero friction.
### Pillar 2: The Manifestation Engine (Goal System)
This is the premium feature. A structured journey through all 6 steps, guided by AI.
**Step 1 — Decide (Clarity):**
- AI guides user through Locke & Latham's SMART framework via conversational prompts
- Makes it feel personal, not corporate ("What would change in your life if you achieved this?" not "Define a measurable objective")
- Output: Crystal-clear goal statement + personal "why it matters" statement
- Free tier: Users can create ONE goal (enough to get invested, creates cliffhanger for premium)
**Step 2 — See It (Mental Rehearsal):**
- AI generates a personalized visualization script based on the user's goal
- Text format initially; optional audio in later phases (text-to-speech)
- Based on Schuster et al.'s motor imagery best practices: first-person, sensory-rich, process-focused (not just outcome)
- User sees this as a "Vision Summary" they can revisit daily
**Step 3 — Believe It's Possible:**
- AI walks user through identifying self-efficacy barriers
- Prompts: "What makes you doubt this is possible?" → systematically addresses each doubt
- Sources of evidence: past successes, transferable skills, role models, small wins
- Generates a "Belief Statement" — a personalized, evidence-based declaration of capability
- Anti-toxic-positivity: Never says "you definitely will." Says "you have real reasons to believe you *can*."
**Step 4 — Notice Differently:**
- Daily "attention prompts" — "Today, notice one thing that's already aligned with your goal"
- Celebrates the *process* (consistency) not just outcomes
### Additional Features
**Anti-Manifestation Guard:**
When the AI detects a user spiraling into toxic positivity, magical thinking, or unhealthy attachment to outcomes, it gently course-corrects:
> "Manifestation isn't about wishing — it's about aligning your attention, beliefs, and actions with what you want. Let's focus on what you can control today."
**Science Drawer:**
Each step has an expandable "Why This Works" section citing the actual research. Example:
> "This technique is based on Gollwitzer's 1999 research on Implementation Intentions, which showed that people who create if-then plans are 2-3x more likely to follow through on goals than those who simply set intentions."
This builds trust and differentiates from every competitor that says "trust the process" without explaining why.
### Connector Features (Science-Driven Engagement)
These three features weave the core pillars into a cohesive daily practice. Each directly implements a research pillar that was underserved by the core feature set.
Step 2 (See It) implemented as a concrete feature. AI-generated, personalized mental rehearsal scripts tied to the user's active Lens goals. Following Schuster et al.'s best-practice protocol and Liu et al.'s optimal dosage (~10 min, 3x/week), each Rehearsal walks users through the *process* of achieving their goal in first-person, present-tense, multi-sensory detail — including obstacle rehearsal to prevent the toxic positivity trap. Always paired with a follow-up micro-action. All visuals are SVG-generated (progress rings, completion patterns).
**The Ritual (Context-Anchored Daily Flow):**
Step 6 (Repeat and Compound) implemented as active habit scaffolding, not just passive streak tracking. A timed, sequenced daily flow (Morning/Evening/Quick templates) that chains 2-3 Kalei activities into one context-anchored routine. Directly implements Wood & Neal's (2007) core finding that context stability predicts habit formation. The user builds *one habit* ("my morning Ritual") instead of three separate ones. The Ritual tracks context consistency (same time, same sequence) per Wood et al. (2021), not just frequency. Addresses the week 3-4 retention cliff by making daily usage automatic before novelty fades. UI is a single flowing screen with SVG progress segments — no navigation, no friction.
**The Evidence Wall (Mastery Tracking — You tab):**
Upgrades Kalei's self-efficacy building from Bandura's weakest source (verbal persuasion via reframes) to his *strongest* source (mastery experiences). Automatically collects proof of capability from all features: completed micro-actions, saved keepsakes, self-correction moments, streak milestones, goal completions, reframe echoes in later writing. The AI surfaces this evidence contextually when it detects self-efficacy dips — "Here's what I've seen: you've completed 23 micro-actions this month." Visual design is a growing SVG mosaic of color-coded geometric proof-point tiles. Evidence, not cheerleading.
| Weekly summary | Claude Sonnet 4.5 | Pattern analysis across multiple data points | ~$0.020 |
| Pattern detection | Claude Haiku 4.5 | Categorization task, doesn't need deep reasoning | ~$0.003 |
### System Prompt Architecture
All AI calls go through Supabase Edge Functions (never direct from client). Each function includes:
1.**System prompt** — Defines the AI's role, constraints, and output format
2.**User context** — Injected from the database (reframe style, goal data, history)
3.**Research grounding** — Relevant citations pre-loaded so the AI can reference them naturally
4.**Anti-toxicity guardrails** — Explicit instructions to avoid toxic positivity, magical thinking, and dismissal of real problems
See [Appendix: AI Prompt Templates](#18-appendix-ai-prompt-templates) for full prompt examples.
### Rate Limiting & Cost Control
- Free tier: 2 reframes/day (hard limit enforced at Edge Function level)
- Premium tier: Unlimited (soft limit of 20/day with warning, hard limit of 50/day)
- All responses cached for 24 hours — if user submits identical thought, return cached reframe
- Goal creation wizard: Max 10 AI exchanges per goal setup
- Weekly summaries: Generated once per week via cron job, not on-demand
---
## 8. Technical Architecture
### Stack Overview
| Layer | Technology | Why This Choice |
|---|---|---|
| **Frontend** | React Native + Expo | Single codebase for iOS, Android, web. JavaScript/TypeScript (most transferable skill). Expo handles 90% of native complexity. Huge community + AI coding tool support. |
| **Backend/DB** | Supabase | Managed Postgres DB, built-in auth (email, Google, Apple Sign-In), Edge Functions (Deno runtime), file storage, real-time subscriptions. No servers to manage. |
| **AI Engine** | Claude API (Anthropic) | Called via Supabase Edge Functions. Never direct from client (cost control, rate limiting, prompt security). |
| **Push Notifications** | Expo Push Notifications | Free, built into Expo, works on both platforms out of the box. |
| **Payments** | RevenueCat | Handles App Store + Google Play subscriptions. Way easier than native in-app purchase implementation. Manages receipts, trials, and entitlements. |
| **App Builds** | Expo EAS | Cloud builds for iOS and Android. Handles code signing, certificates, TestFlight, and OTA updates. |
| Claude API | Pay-as-you-go (~$0.003-0.015/call) | $50-100/mo |
| Expo EAS | Free tier (30 builds/month) | $0 |
| RevenueCat | Free (up to $2,500 MTR) | $0 |
| PostHog | Free tier (1M events/mo) | $0 |
| Apple Developer | Annual fee | $99/yr ($8.25/mo) |
| Google Play Developer | One-time | $25 |
| **Total** | | **~$60-110/mo** |
### Growth Phase (1,000-10,000 users)
| Service | Plan | Cost |
|---|---|---|
| Supabase | Pro ($25/mo) | $25/mo |
| Claude API | Increased usage | $100-200/mo |
| Expo EAS | Production ($99/mo) | $99/mo |
| RevenueCat | 1% of revenue after $2.5K MTR | Variable |
| PostHog | Still free tier likely | $0 |
| **Total** | | **~$225-325/mo** |
### Breakeven Analysis
At $6.50 ARPU, breakeven on $250/mo infrastructure requires ~39 paying users. With 5% conversion, that's ~780 total users. Achievable within the first 2-3 months with moderate marketing effort.
---
## 12. Implementation Roadmap
### Phase 1 — MVP: The Reframer (4-6 weeks)
**Goal:** Ship the core reframing feature. Get it into users' hands. Validate the concept.
**Week 1-2: Foundation**
- Initialize Expo project with TypeScript
- Set up Supabase project (database, auth, edge functions)
- Implement auth flow (email + Google + Apple Sign-In)
Start by setting up the project structure, Supabase client configuration,
and auth flow (email + Google + Apple Sign-In).
```
**Iterative development approach:**
1. Describe the feature you want to build
2. Let Claude Code scaffold the files
3. Review and test
4. Iterate with specific refinements
5. Move to next feature
**Recommended Claude Code commands for this project:**
```bash
# Start Claude Code in the project directory
claude
# Example prompts for each phase:
# Auth setup
"Set up Supabase auth with email, Google, and Apple Sign-In.
Create a useAuth hook and an AuthContext provider."
# Reframer
"Create the reframe input screen with a text area, submit button,
and loading state. It should call a Supabase Edge Function at /reframe."
# Edge Function
"Write a Supabase Edge Function that takes a negative thought and user's
reframe style preference, calls the Claude API with a system prompt for
thought reframing, and returns the structured response."
# Database
"Generate the SQL migration for creating the reframes table with RLS policies."
```
### Codex (OpenAI) Workflow
Codex can be used alongside Claude Code for:
- Generating boilerplate React Native components
- Writing database migration scripts
- Creating test files
- Generating TypeScript types from the schema
**Complementary usage:** Use Claude Code for architecture decisions and complex logic. Use Codex for repetitive scaffolding and boilerplate generation. They don't conflict — they complement.
### File Structure
```
[app-name]/
├── app/ # Expo Router file-based routing
│ ├── (tabs)/ # Tab navigator screens
│ │ ├── index.tsx # Home / Dashboard
│ │ ├── reframe.tsx # Reframe input screen
│ │ ├── goals.tsx # Manifestation Engine
│ │ ├── history.tsx # Reframe history
│ │ └── profile.tsx # Settings & profile
│ ├── (auth)/ # Auth screens
│ │ ├── login.tsx
│ │ ├── register.tsx
│ │ └── onboarding.tsx
│ ├── reframe/
│ │ └── [id].tsx # Individual reframe detail
│ ├── manifestation/
│ │ ├── create.tsx # Goal creation wizard
│ │ └── [id].tsx # Goal detail / dashboard
│ └── _layout.tsx # Root layout
├── components/
│ ├── ui/ # Generic UI components
│ │ ├── Button.tsx
│ │ ├── Card.tsx
│ │ ├── TextInput.tsx
│ │ └── LoadingSpinner.tsx
│ ├── reframe/
│ │ ├── ReframeCard.tsx # Displays a reframe result
│ ├── ScienceDrawer.tsx # "Why This Works" expandable
│ └── StreakBadge.tsx # Streak display component
├── hooks/
│ ├── useAuth.ts # Authentication hook
│ ├── useReframe.ts # Reframe CRUD operations
│ ├── useManifestation.ts # Goal CRUD operations
│ ├── useStreak.ts # Streak tracking
│ └── useSubscription.ts # RevenueCat integration
├── lib/
│ ├── supabase.ts # Supabase client init
│ ├── constants.ts # App-wide constants
│ └── types.ts # TypeScript interfaces
├── contexts/
│ ├── AuthContext.tsx # Auth state provider
│ └── SubscriptionContext.tsx # Premium status provider
├── supabase/
│ ├── migrations/ # SQL migration files
│ │ ├── 001_create_profiles.sql
│ │ ├── 002_create_reframes.sql
│ │ ├── 003_create_manifestations.sql
│ │ ├── 004_create_daily_actions.sql
│ │ ├── 005_create_attention_logs.sql
│ │ ├── 006_create_streaks.sql
│ │ └── 007_create_weekly_summaries.sql
│ └── functions/ # Edge Functions
│ ├── reframe/index.ts
│ ├── generate-plan/index.ts
│ ├── generate-visualization/index.ts
│ ├── weekly-summary/index.ts
│ └── check-subscription/index.ts
├── assets/
│ ├── images/
│ └── fonts/
├── app.json # Expo config
├── tsconfig.json
└── package.json
```
---
## 14. App Store Strategy
### App Store Optimization (ASO)
**Primary keywords to target:**
- "manifestation app"
- "reframe negative thoughts"
- "positive thinking app"
- "goal setting app"
- "science-based self help"
- "thought reframing"
- "daily affirmation" (high volume, position as the "scientific" alternative)
**App Store title format:**
`[App Name] — Science-Backed Manifestation`
**Subtitle (30 chars):**
`Reframe Thoughts. Achieve Goals.`
**Description strategy:**
Lead with the unique differentiator (science-backed), include social proof (research citations), address the skeptic ("not another woo-woo app"), and end with clear feature list.
### Review Strategy
- Prompt for review after the user's 7th reframe (proven they find value)
- Never prompt during or after a negative reframe (bad timing)
- Prompt after completing Step 1 of a manifestation (feeling accomplished)
### Privacy & Compliance
- All data encrypted at rest (Supabase handles this)
- GDPR compliance: data export and deletion capability
- No third-party data sharing
- Mental health disclaimer: "This app is not a substitute for professional therapy or medical advice"
- Terms of service clearly stating AI-generated content limitations
- Age gate: 17+ (due to AI-generated content about potentially sensitive thoughts)
---
## 15. Growth & Future Features
### Phase 4+ Feature Ideas (Prioritized)
**High Impact / Lower Effort:**
1.**iOS/Android widget** — Home screen widget showing streak count + "Reframe Now" button. Reduces friction to zero.
2.**Dark mode** — Table stakes for a daily-use app.
3.**Voice input** — Speak your thought instead of typing. Uses Expo Audio + speech-to-text.
4.**Share reframes** — Export a reframe as a beautiful card image for social sharing (viral loop).
**High Impact / Higher Effort:**
5.**Audio visualizations** — Text-to-speech generation of visualization scripts. Users can listen during meditation or commute.
6.**Community** — Anonymous sharing of reframes and wins. Based on Granovetter's weak ties research. Users see how others transformed similar thoughts.
7.**Pattern dashboard** — Deep analytics on thought categories, time patterns, sentiment trends. "Your catastrophizing has decreased 40% since you started."
8.**Partner/friend feature** — Invite someone to share streaks and encourage each other (optional, privacy-first).
**Moonshot / Future:**
9.**AI-generated daily podcast** — Personalized 3-minute audio each morning based on current goals and recent patterns.
10.**Integration with calendar** — Auto-schedule if-then actions as calendar blocks.
11.**Wearable integration** — Apple Watch / WearOS app for quick-flip reframes.
12.**Therapist dashboard** — Optional feature where users can share their reframe/goal data with their actual therapist.
- Metallurgy: heat and slowly cool metal to strengthen it
- Perfect metaphor for thought transformation (heat = challenge, cooling = reframing, result = stronger)
- Intellectual, science-forward brand positioning
- Status: Need to verify
### Other Viable Directions Worth Exploring
- Verge — "on the verge of change"
- Tether — grounded in reality
- Lucen — Latin "lucere" (to shine)
- Patina — beauty developed over time
- Aperion — Greek "infinite potential"
- Novis — Latin "new"
---
## 17. Research References
### Full Citation List with Open Access Links
1.**Locke, E.A. & Latham, G.P. (2002).** Building a Practically Useful Theory of Goal Setting and Task Motivation: A 35-Year Odyssey. *American Psychologist, 57*(9), 705-717. [PDF](https://med.stanford.edu/content/dam/sm/s-spire/documents/PD.locke-and-latham-retrospective_Paper.pdf)
2.**Locke, E.A., Latham, G.P., et al.** New Directions in Goal-Setting Theory. [PDF](https://www.lyondellbasell.com/4aeca6/globalassets/sustainability/lifebeats/advancing-health/life/goals/newdirectioningoalsetting_locke-et-al..pdf)
4.**Gollwitzer, P.M. (2006).** Implementation Intentions and Goal Attainment. [Chapter PDF](https://cancercontrol.cancer.gov/sites/default/files/2020-06/goal_intent_attain.pdf)
5.**Schuster, C., Hilfiker, R., Amft, O., et al. (2011).** Best Practice for Motor Imagery: A Systematic Literature Review on Motor Imagery Training Elements in Five Different Disciplines. *BMC Medicine, 9*, 75. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC3141540)
6.**Liu, Y., et al. (2025).** Effects of Imagery Practice on Athletes' Performance. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC12109254)
7.**Seok, H., et al. (2023).** Mental Practice in Stroke Rehabilitation: A Systematic Review and Meta-Analysis. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC10689861)
8.**Bandura, A. (1977).** Self-Efficacy: Toward a Unifying Theory of Behavioral Change. *Psychological Review, 84*(2), 191-215. [PDF](https://educational-innovation.sydney.edu.au/news/pdfs/Bandura%201977.pdf)
9.**Yantis, S. (2008).** The Neural Basis of Selective Attention: Cortical Sources and Targets of Attentional Modulation. *Current Directions in Psychological Science, 17*(2), 86-90. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC2681259)
10.**Stevens, C. & Bavelier, D. (2012).** The Role of Selective Attention on Academic Foundations: A Cognitive Neuroscience Perspective. *Developmental Cognitive Neuroscience, 2*, S30-S48. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC3375497)
11.**Koch, C. & Tsuchiya, N. (2007).** Attention and Consciousness: Two Distinct Brain Processes. *Trends in Cognitive Sciences, 11*(1), 16-22. [PDF](https://philarchive.org/archive/KOCAAC-2)
12.**Wood, W., Mazar, A. & Neal, D.T. (2021).** Habits and Goals in Human Behavior: Separate but Interacting Systems. *Perspectives on Psychological Science, 17*(2), 590-605. [PDF](https://dornsife.usc.edu/wendy-wood/wp-content/uploads/sites/183/2023/10/Wood.Mazar_.Neal_.2021.pdf)
13.**Wood, W. & Neal, D.T. (2007).** A New Look at Habits and the Habit-Goal Interface. *Psychological Review, 114*(4), 843-863. [Academia](https://www.academia.edu/1237676/A_new_look_at_habits_and_the_habit_goal_interface)
14.**Granovetter, M.S. (1973).** The Strength of Weak Ties. *American Journal of Sociology, 78*(6), 1360-1380. [PDF](https://snap.stanford.edu/class/cs224w-readings/granovetter73weakties.pdf)
15.**Pardo-Cabello, A.J., et al. (2022).** Placebo and Nocebo Effects and Mechanisms Associated with Pharmacological Interventions. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC9361274)
16.**Stetler, D.A., et al. (2013).** The Role of Expectations in Treatment Outcome and the Placebo/Nocebo Effect. [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC3851940)
---
## 18. Appendix: AI Prompt Templates
### Reframe System Prompt
```
You are a thought reframing assistant inside a science-backed personal
transformation app. Your role is to help users transform negative thoughts