778 lines
19 KiB
Markdown
778 lines
19 KiB
Markdown
# MVP Scope: Banatie for AI Developers
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**Date:** October 20, 2025
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**Target ICP:** AI-powered developers (Claude Code, Cursor users)
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**Development Timeline:** 4-6 weeks
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**Launch Goal:** First 5-10 beta users by end of November 2025
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---
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## MVP Philosophy
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**Principle:** Build the MINIMUM to validate willingness to pay, not the complete vision.
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**Goal:** Solve ONE core problem exceptionally well:
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> "Generate production-ready images from Claude Code without context switching"
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**Not the goal:** Build all planned features (Flow, Namespaces, On-demand URL generation)
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---
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## Core Value Proposition (MVP)
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**What users get:**
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1. MCP integration for Claude Code → generate images without leaving environment
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2. Prompt Enhancement → write in any language, get optimized results
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3. Production CDN URLs → no manual download/upload/hosting
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4. Contextual references → maintain consistency across assets (@logo, @hero)
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5. Basic transformations → resize, format, optimize automatically
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**What users DON'T get in MVP:**
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- Flow-based chained generation (future)
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- Namespaces / project organization (future)
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- On-demand generation via URL (future)
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- Advanced focal point analysis (future)
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- Team collaboration features (future)
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---
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## MUST HAVE Features (Launch Blockers)
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### 1. MCP Server for Claude Code ✅ CRITICAL
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**Why it's critical:**
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- This is the KILLER FEATURE
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- Solves the #1 pain point (context switching)
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- No competitor has this
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- Differentiates from "just another AI image API"
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**Functionality:**
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```typescript
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// MCP Tools to implement:
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banatie_generate({
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prompt: string, // User's prompt (any language)
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name?: string, // Optional name for reference (e.g., "logo")
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style?: string, // Optional style preset
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aspectRatio?: string, // e.g., "16:9", "1:1", "4:3"
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width?: number, // Target width for optimization
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referenceImages?: string[] // Array of @names to reference
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})
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// Returns: {
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// url: "https://cdn.banatie.app/...",
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// name: string (if provided),
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// transformations: { ... } (preset URLs)
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// }
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banatie_upload({
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file: base64 | url,
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name: string // Required for referencing
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})
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// Returns: {
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// name: string,
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// url: "https://cdn.banatie.app/..."
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// }
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banatie_list_images({
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limit?: number
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})
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// Returns: Array of previously generated/uploaded images
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```
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**Implementation notes:**
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- Follow MCP spec: https://modelcontextprotocol.io/
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- Test with Claude Desktop + Claude Code
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- Provide clear error messages
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- Handle API key authentication
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**Time estimate:** 1-2 weeks
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---
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### 2. Prompt Enhancement Agent ✅ CRITICAL
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**Why it's critical:**
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- Solves #2 pain point (prompt engineering complexity)
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- Massive value for non-native English speakers (Russian developers)
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- Improves generation quality automatically
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- Low-hanging fruit (you already have working version)
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**Functionality:**
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**Input:** User's prompt (any language, casual description)
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```
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"маг ÑльфийÑкой крови в Ñредневековом городе на закате"
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```
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**Process:**
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1. Detect language (if not English, translate)
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2. Analyze intent and visual elements
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3. Apply Gemini 2.5 Flash Image best practices:
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- Camera parameters for photorealism
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- Lighting descriptions
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- Composition guidelines
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- Style keywords
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4. Generate optimized English prompt
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**Output:** Production-ready prompt
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```
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"A photorealistic portrait of an elven-blooded wizard standing in a medieval European city street at golden hour sunset, warm amber lighting, shot with 85mm lens at f/2.8, shallow depth of field, detailed texture on stone buildings, volumetric light rays, cinematic composition"
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```
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**Implementation notes:**
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- Use Gemini 2.0 Flash (fast, cheap)
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- Include Google's official guidelines in agent prompt
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- Cache common translations
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- Show both original + enhanced prompt to user (educational)
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**Time estimate:** 3-5 days (since you already have working version)
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---
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### 3. Asset Persistence + CDN URLs ✅ CRITICAL
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**Why it's critical:**
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- Solves #3 pain point (manual file management)
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- "Production-ready" means hosted + optimized
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- No competitor bundles this (they just return base64)
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**Functionality:**
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**Storage:**
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- MinIO (S3-compatible) ✅ Already implemented
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- Organized by user/project
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- Permanent URLs (no expiry)
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**CDN Delivery:**
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- Cloudflare CDN integration
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- Global caching
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- Automatic optimization
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**URL structure:**
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```
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https://cdn.banatie.app/u/{user_id}/{image_id}.webp?w=800&q=90
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```
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**Metadata stored (PostgreSQL):**
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- image_id (UUID)
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- user_id
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- original_prompt (user's input)
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- enhanced_prompt (after agent)
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- generation_params (style, aspect ratio, etc.)
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- reference_images (if used)
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- name (if provided, for @references)
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- created_at
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- generation_cost (for billing)
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**Time estimate:** 1 week (storage already done, need CDN setup)
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---
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### 4. Basic Image Transformations ✅ IMPORTANT
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**Why it's important:**
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- Solves #4 pain point (responsive images, formats)
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- Demonstrates "production-ready" value
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- Common use case (mobile vs. desktop)
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**Functionality:**
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**Via URL query parameters:**
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```
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?w=800 // Width resize
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?h=600 // Height resize
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?ar=16:9 // Aspect ratio crop
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?f=webp // Format (webp, png, jpg, avif)
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?q=85 // Quality (1-100)
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?fit=cover // Fit mode (cover, contain, fill)
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```
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**Preset transformations (returned in API response):**
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```json
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{
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"url": "https://cdn.banatie.app/u/123/img456.webp",
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"transformations": {
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"mobile": "...?w=400&f=webp&q=85",
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"tablet": "...?w=768&f=webp&q=85",
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"desktop": "...?w=1200&f=webp&q=90",
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"thumbnail": "...?w=150&h=150&fit=cover&f=webp"
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}
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}
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```
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**Implementation:**
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- Imageflow-Server (as per tech spec) ✅ Planned
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- OR Cloudflare Image Resizing (simpler for MVP)
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- Cache transformed versions (don't regenerate)
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**Time estimate:** 1 week
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---
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### 5. Contextual Asset Referencing (@name) ✅ UNIQUE FEATURE
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**Why it's critical:**
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- Solves #5 pain point (consistency across assets)
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- UNIQUE to Banatie (no competitor has this)
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- Enables powerful workflows (brand consistency, character consistency)
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**Functionality:**
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**Naming assets:**
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```javascript
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// Generate and name
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banatie.generate("fictional water brand logo", {name: "logo"})
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// Upload and name
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banatie.upload("./logo.png", {name: "logo"})
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```
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**Referencing in future generations:**
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```javascript
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// Use @name in prompt
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banatie.generate("product photo with @logo on table")
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banatie.generate("hero banner with @logo in nature background")
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```
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**Behind the scenes:**
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1. Parse prompt for @references
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2. Fetch referenced images from storage
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3. Include as image inputs to Gemini API
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4. Generate with visual context
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**Implementation notes:**
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- Simple regex to find @names in prompts
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- Replace @names with actual image references
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- Support multiple @references in one prompt
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- Show which references were used (transparency)
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**Time estimate:** 3-5 days
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---
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### 6. REST API ✅ FOUNDATION
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**Why it's critical:**
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- MCP is built on top of this
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- Enables direct integration for power users
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- Future SDK/libraries depend on this
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**Endpoints:**
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```
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POST /v1/generate
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Body: {
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prompt: string,
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name?: string,
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style?: string,
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aspectRatio?: string,
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width?: number,
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referenceImages?: string[]
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}
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Response: {
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id: string,
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url: string,
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enhanced_prompt: string,
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transformations: {...}
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}
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POST /v1/upload
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Body: { file: base64, name: string }
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Response: { name: string, url: string }
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GET /v1/images
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Query: ?limit=20
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Response: [ {...image objects} ]
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GET /v1/images/:id
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Response: {...image object with metadata}
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DELETE /v1/images/:id
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Response: { success: boolean }
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GET /v1/account/usage
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Response: {
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generations_used: number,
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credits_remaining: number,
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tier: "free" | "credits" | "pro"
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}
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```
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**Authentication:**
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- API key in header: `Authorization: Bearer bnt_xxx`
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- Rate limiting (by tier)
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- Usage tracking (for billing)
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**Time estimate:** 1 week (partially done)
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---
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### 7. Simple UI / Playground ✅ IMPORTANT
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**Why it's important:**
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- First impression (users want to "see it work")
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- Visual proof of quality
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- Educational (shows code snippets)
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- Low barrier to test
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**Pages:**
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**1. Homepage (Landing)**
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- Value prop headline
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- 3-step explanation (MCP → Generate → CDN)
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- "Try Demo" CTA
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- Features overview
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- Pricing overview
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**2. Demo/Playground**
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- API key input (no registration needed for MVP)
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- Prompt textarea (accepts Russian, English, etc.)
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- Style dropdown (optional)
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- Aspect ratio selector
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- Generate button
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- Results display:
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- Generated image
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- Original + enhanced prompt (side by side)
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- Transformation previews
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- **Code snippets panel** (cURL, Python, JS, MCP)
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- Copy-to-clipboard for URLs
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**3. Dashboard (After API key entered)**
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- Generation history (last 20)
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- Usage stats (generations used, credits left)
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- API key management
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- Billing / credits (if applicable)
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**Tech stack:**
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- Next.js ✅ Already implemented
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- Tailwind CSS ✅ Already used
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- Simple, developer-focused design (not marketing fluff)
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**Time estimate:** 1 week (refine existing demo UI)
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---
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### 8. Credit-Based Payment System ✅ REQUIRED FOR REVENUE
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**Why it's critical:**
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- Can't validate willingness to pay without payment system
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- Credits model validated in ICP research
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- Stripe integration straightforward
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**Functionality:**
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**Credit packs for purchase:**
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- $20 = 200 generations (90-day expiry)
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- $50 = 600 generations (90-day expiry)
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- $100 = 1,500 generations (90-day expiry)
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**Free tier:**
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- 10 generations/month
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- Resets monthly
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- Watermark (SynthID) on images
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**Payment flow:**
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1. User clicks "Buy Credits"
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2. Stripe Checkout (hosted page)
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3. Webhook on success → add credits to account
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4. Credits deducted per generation
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**Stripe setup:**
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- Products: 3 credit packs
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- Webhook handler for `checkout.session.completed`
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- Customer portal (manage payment methods)
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**Database schema additions:**
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```sql
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credits_transactions (
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id, user_id, amount, pack_size,
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expires_at, stripe_session_id, created_at
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)
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users.credits_balance (integer)
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users.credits_expiry (timestamp)
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```
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**Time estimate:** 1 week
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---
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## NICE TO HAVE (If Time Permits)
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### 9. @last Reference (Shortcut)
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**Functionality:**
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```javascript
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banatie.generate("hero in armor")
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banatie.generate("make @last more detailed") // References previous generation
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```
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**Why nice-to-have:**
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- Convenient for iteration
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- Simple to implement (just cache last generation ID)
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**Time estimate:** 1-2 days
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---
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### 10. Batch Generation (Multiple Prompts)
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**Functionality:**
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```javascript
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banatie.generateBatch([
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"hero level 1",
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"hero level 2",
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"hero level 3"
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])
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```
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**Why nice-to-have:**
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- Useful for game asset generation (Oleg's use case)
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- Not critical for initial validation
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**Time estimate:** 2-3 days
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---
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## CUT FROM MVP (Future Roadmap)
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### ⌠Flow-Based Chained Generation
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**Why cut:**
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- Complex to build (requires state management, execution engine)
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- Hard to explain (cognitive load)
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- Niche use case (not every developer needs this)
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- Can add after PMF
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**Future priority:** HIGH (after 50+ users)
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---
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### ⌠Namespaces / Project Organization
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**Why cut:**
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- Users can manage with @names for MVP
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- Adds UI complexity (project switcher, settings)
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- Not blocking for core workflow
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**Future priority:** MEDIUM (after 100+ users)
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---
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### ⌠On-Demand Generation via URL
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**Why cut:**
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- Clever feature but not core pain point
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- Requires caching strategy, URL signing
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- Better to validate core workflow first
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**Future priority:** HIGH (cool differentiator, but after PMF)
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---
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### ⌠Advanced Focal Point Analysis
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**Why cut:**
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- Nice-to-have for auto-cropping
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- Not critical if transformations are manual
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- Can use basic center-crop for MVP
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**Future priority:** LOW (automation, not essential)
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---
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### ⌠Style Presets / Fine-Tuning
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**Why cut:**
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- Gemini 2.5 Flash Image is already great
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- Adds complexity (preset management, UI)
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- Prompt Enhancement covers most use cases
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**Future priority:** MEDIUM (after users request specific styles)
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---
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### ⌠Team Collaboration / Multi-User
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**Why cut:**
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- ICP is solo developers
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- Adds auth complexity (invites, roles, permissions)
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- Can add when agencies become customers
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**Future priority:** MEDIUM (for agency expansion)
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---
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### ⌠Image Editing / Inpainting
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**Why cut:**
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- Out of scope (we're generation, not editing)
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- Complex UI (selection tools, masks)
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- Gemini supports it, but not MVP focus
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**Future priority:** LOW (different product direction)
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---
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## Technical Architecture (MVP)
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### Backend (Express + Node.js) ✅ Existing
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**Core services:**
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- API Gateway (REST endpoints)
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- Prompt Enhancement Agent (Gemini 2.0 Flash)
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- Image Generation (Gemini 2.5 Flash Image)
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- Asset Manager (MinIO integration)
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- Transformation Service (Imageflow or Cloudflare)
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- Billing Service (Stripe webhooks)
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**Database (PostgreSQL):**
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- users (id, email, api_key, credits_balance, tier, created_at)
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- images (id, user_id, prompt, enhanced_prompt, url, name, metadata, created_at)
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- credits_transactions (id, user_id, amount, expires_at, stripe_session_id)
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- api_keys (id, user_id, key_hash, last_used, created_at)
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---
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### Frontend (Next.js) ✅ Existing
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**Pages:**
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- `/` - Landing page
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- `/demo` - Playground (API key input + generation)
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- `/dashboard` - History + usage (after auth)
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- `/pricing` - Credit packs
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- `/docs` - API documentation
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**Components:**
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- ImageGenerator (prompt input + results)
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- CodeSnippets (cURL, Python, JS, MCP examples)
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- TransformationPreview (show different sizes/formats)
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- ApiKeyInput (simple auth for demo)
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---
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### Infrastructure
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**Hosting:**
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- VPS (Contabo, Singapore) ✅ Existing
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- Docker containers (backend + frontend)
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**Storage:**
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- MinIO (S3-compatible) ✅ Existing
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**CDN:**
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- Cloudflare (free tier OK for MVP)
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**Payments:**
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- Stripe (standard integration)
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**Monitoring:**
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- Basic logging (PM2 logs)
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- Uptime monitoring (UptimeRobot free tier)
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- Error tracking (Sentry free tier)
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---
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## Development Timeline (4-6 Weeks)
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### Week 1: Core Generation Pipeline
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- [ ] Finalize REST API endpoints
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- [ ] Prompt Enhancement Agent (refine existing)
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- [ ] Image generation with reference support
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- [ ] Basic storage + CDN integration
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**Deliverable:** Working API (generate + upload + references)
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---
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### Week 2: MCP Implementation
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- [ ] MCP server setup (follow spec)
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- [ ] Implement 3 tools (generate, upload, list)
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- [ ] Test with Claude Desktop
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- [ ] Documentation for MCP usage
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**Deliverable:** Working MCP integration
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---
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### Week 3: Transformations + UI
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- [ ] Image transformation service (Imageflow or Cloudflare)
|
|
- [ ] Refine demo UI (code snippets, previews)
|
|
- [ ] Dashboard (history, usage stats)
|
|
- [ ] API key management
|
|
|
|
**Deliverable:** Functional UI for testing
|
|
|
|
---
|
|
|
|
### Week 4: Payments + Polish
|
|
- [ ] Stripe integration (credit packs)
|
|
- [ ] Free tier limits enforcement
|
|
- [ ] Watermark for free tier
|
|
- [ ] Landing page copy + design
|
|
- [ ] API documentation
|
|
|
|
**Deliverable:** Monetization-ready product
|
|
|
|
---
|
|
|
|
### Week 5-6: Beta Testing + Iteration
|
|
- [ ] Invite 5-10 validated users from research
|
|
- [ ] High-touch onboarding (help with setup)
|
|
- [ ] Gather feedback, fix bugs
|
|
- [ ] Iterate on UX pain points
|
|
- [ ] Prepare for public launch
|
|
|
|
**Deliverable:** Product-market fit signals or pivot triggers
|
|
|
|
---
|
|
|
|
## Success Metrics (MVP)
|
|
|
|
### Technical Metrics
|
|
- [ ] MCP integration works reliably (95%+ success rate)
|
|
- [ ] Image generation latency <10 seconds (p95)
|
|
- [ ] CDN delivery fast (global, <500ms)
|
|
- [ ] API uptime >99%
|
|
|
|
### Product Metrics
|
|
- [ ] 5-10 beta users onboarded
|
|
- [ ] 50+ generations completed
|
|
- [ ] 3+ users generate >10 images (engaged)
|
|
- [ ] 2+ users purchase credits (willingness to pay validated)
|
|
|
|
### Qualitative Metrics
|
|
- [ ] "This solves my problem" feedback (3+ users)
|
|
- [ ] Feature requests are refinements, not fundamental changes
|
|
- [ ] Users recommend to others
|
|
- [ ] Low churn (users stick around after trial)
|
|
|
|
---
|
|
|
|
## What "Done" Looks Like (MVP Launch)
|
|
|
|
**A developer can:**
|
|
1. Install Banatie MCP in Claude Desktop (5 min setup)
|
|
2. Use Claude Code to generate a Next.js site
|
|
3. Generate images via MCP without leaving Claude Code:
|
|
```
|
|
Human: Create a hero image for this landing page about eco-friendly water bottles
|
|
|
|
Claude: [calls banatie_generate MCP tool]
|
|
I've generated a hero image and inserted the production CDN URL in the code.
|
|
```
|
|
4. Reference previous images for consistency:
|
|
```
|
|
Human: Now create a product photo with the same bottle @hero
|
|
|
|
Claude: [calls banatie_generate with @hero reference]
|
|
Done! Product photo maintains the same bottle design.
|
|
```
|
|
5. See generated images in demo UI (history, transformations)
|
|
6. Copy code snippets (cURL, Python, JS) for direct API use
|
|
7. Purchase credits ($20 pack) via Stripe
|
|
8. Use credits for additional generations
|
|
|
|
**And it feels:**
|
|
- Fast (no waiting, instant CDN URLs)
|
|
- Seamless (no context switching)
|
|
- Professional (production-ready, not prototype)
|
|
- Trustworthy (stable, reliable, documented)
|
|
|
|
---
|
|
|
|
## Risk Mitigation
|
|
|
|
### Risk 1: MCP Integration Complexity
|
|
**Mitigation:**
|
|
- Study existing MCP servers (examples in repo)
|
|
- Test early and often with Claude Desktop
|
|
- Provide clear error messages
|
|
- Fallback: REST API works even if MCP has issues
|
|
|
|
---
|
|
|
|
### Risk 2: Prompt Enhancement Quality
|
|
**Mitigation:**
|
|
- Use Gemini 2.0 Flash (fast, capable)
|
|
- Include Google's official guidelines in agent prompt
|
|
- Show both prompts to user (transparency)
|
|
- Allow user to override/edit enhanced prompt
|
|
|
|
---
|
|
|
|
### Risk 3: CDN/Transformation Service Complexity
|
|
**Mitigation:**
|
|
- Start with Cloudflare Image Resizing (simpler)
|
|
- Fallback: Imageflow-Server if Cloudflare insufficient
|
|
- Precompute common transformations (cache)
|
|
|
|
---
|
|
|
|
### Risk 4: Payment Fraud / Abuse
|
|
**Mitigation:**
|
|
- Stripe handles fraud detection
|
|
- Rate limit free tier aggressively (10/month)
|
|
- Monitor usage patterns (flag anomalies)
|
|
- Require email verification for credits purchase
|
|
|
|
---
|
|
|
|
### Risk 5: Gemini API Costs Exceeding Revenue
|
|
**Mitigation:**
|
|
- Track cost per generation (Gemini API fees)
|
|
- Ensure pricing covers costs + margin
|
|
- Free tier is truly limited (10/month)
|
|
- Monitor burn rate daily
|
|
|
|
---
|
|
|
|
## Post-MVP Roadmap (Prioritized)
|
|
|
|
### Phase 2 (After PMF):
|
|
1. Flow-based generation (chained workflows)
|
|
2. On-demand generation via URL (programmatic)
|
|
3. Pro subscription tier (500 gen/month included)
|
|
4. Advanced style presets
|
|
5. Batch generation
|
|
|
|
### Phase 3 (Agency Expansion):
|
|
1. Namespaces / project organization
|
|
2. Team collaboration (multi-user)
|
|
3. Usage analytics dashboard
|
|
4. White-label / reseller options
|
|
|
|
### Phase 4 (Platform Play):
|
|
1. Public API marketplace (share custom agents)
|
|
2. Community styles / presets
|
|
3. Integrations (Figma, Vercel, Netlify)
|
|
4. Enterprise tier (SLA, support, SSO)
|
|
|
|
---
|
|
|
|
## Decision Gates
|
|
|
|
**After 4 weeks (MVP complete):**
|
|
- [ ] Beta test with 5-10 users
|
|
- [ ] If 60%+ engaged → continue
|
|
- [ ] If <60% engaged → reassess features/ICP
|
|
|
|
**After 6 weeks (Beta feedback):**
|
|
- [ ] If 2+ purchased credits → validated willingness to pay
|
|
- [ ] If 0 purchases → pricing issue or value unclear
|
|
- [ ] If bugs/UX issues → iterate 1-2 more weeks
|
|
|
|
**After 8 weeks (Soft Launch):**
|
|
- [ ] Post in r/ClaudeAI, Indie Hackers
|
|
- [ ] Track sign-ups, usage, conversion
|
|
- [ ] If $500+ MRR → full launch
|
|
- [ ] If <$500 MRR → pivot or iterate
|
|
|
|
---
|
|
|
|
**Document owner:** @men + Oleg (joint)
|
|
**Status:** Draft for MVP development
|
|
**Next review:** After validation complete (if GO decision)
|
|
**Related docs:** `07_validated_icp_ai_developers.md`, `10_pricing_strategy.md`
|