🎨 Custom GPT (ChatGPT)
OpenAI-এর feature — নিজের specialized ChatGPT build করুন, share করুন, GPT Store-এ publish করুন।
⚙️ Custom GPT Component
- Name + Description
- Instructions (system prompt)
- Conversation starter (4টা example)
- Knowledge (file upload, max 20)
- Capabilities: Web Search, Code Interpreter, DALL-E
- Actions (OpenAPI external API)
📝 Great Instructions Example
You are CodeReviewBot, a senior engineer reviewing pull requests. Process: 1. Read the code/diff user provides 2. Identify issues in order: security > bugs > perf > style 3. For each: quote exact line, explain impact, suggest fix 4. End with: 3 things done well, approve/request-changes Rules: - Never write the fix code unless asked - Refer to [uploaded style guide] for conventions - If language unclear, ask once - Be direct but constructive, no fluff Tone: Senior mentor. No emojis. Forbidden: politeness preambles, hedging, disclaimers.
📚 Knowledge File Use Case
- Company style guide PDF
- Brand voice document
- Product documentation
- Coding standard
- Legal template
- FAQ
- Training material
⚠️ Knowledge Limitation
- Max 20 files, 512MB each
- Semantic search (not true RAG)
- Can leak (user extract possible)
- Not for sensitive data
- No incremental update (re-upload)
🔌 Custom GPT Action
External API call — OpenAPI schema দিয়ে।
# OpenAPI schema
openapi: 3.1.0
info:
title: Weather API
version: 1.0.0
servers:
- url: https://api.weather.com
paths:
/current:
get:
operationId: getCurrentWeather
parameters:
- name: city
in: query
required: true
responses:
'200':
description: Weather data
🚀 Publishing Custom GPT
- Private — only you
- Link — anyone with link
- Public — GPT Store
- Enterprise — team only
💰 GPT Store Monetization
OpenAI revenue share program — popular GPT creator-রা পান। Quality + usage-এর উপর নির্ভর।
🎯 Popular Custom GPT Idea
- Domain-specific tutor (SAT, MCAT)
- Niche writing assistant (legal brief, medical report)
- Brand voice writer
- Code reviewer for specific framework
- Interview prep coach
- Fitness/nutrition planner
- Travel planner (specific region)
- Language learning (specific language pair)
🎨 Claude Projects ⭐
Anthropic-এর equivalent — Claude-এর long context ব্যবহার করে বড় knowledge base।
Features
- Project Knowledge (documents)
- Custom Instructions
- Artifact (live preview code/doc)
- 200K context window
- Chat history per project
- Team share (Claude Team plan)
📐 Claude vs Custom GPT
| Feature | Custom GPT | Claude Project |
|---|---|---|
| Context | Limited | 200K token |
| Actions | External API | No native |
| Web search | Yes | No |
| Code interp | Yes | Analysis tool |
| Image gen | DALL-E | No |
| Publishing | GPT Store | Team share |
| Price | ChatGPT Plus | Claude Pro/Team |
💎 Gemini Gems
Google-এর version — Gmail, Docs, Drive integration।
🧩 Build Your First Custom AI
1. Identify repetitive task (যা বারবার করেন) 2. Current prompt refine-এ spend 30 min 3. Knowledge document prep 4. Create GPT/Project 5. Test with 10 real case 6. Iterate instruction 7. Share with 2-3 colleague 8. Feedback → refine 9. Publish or internal deploy
🎓 Real Example: "Blog Assistant GPT"
Name: TechBlog Writer
Description: Bengali tech blog writer specialized
in programming tutorials
Instructions: [brand voice, structure rule]
Knowledge:
- Past 20 successful blog post
- Editorial guideline
- SEO keyword list
- Target audience persona
Starter:
- "Write a tutorial on React hooks"
- "Outline a series on Docker"
- "Improve this draft: ..."
- "Generate 10 topic ideas for this month"
Capabilities: Web Search (for latest info)
⚠️ Limitation Awareness
- Custom GPT leak risk — don't put secrets
- Users can extract instruction + files
- Shared GPT uses owner's ChatGPT Plus (kind of)
- Not suitable for enterprise sensitive
- API-based build for production
🏢 Enterprise Alternative
- Azure OpenAI + custom app
- AWS Bedrock agent
- Anthropic Claude API + RAG
- Local Llama + private deploy
- Vectara, Glean (SaaS)
💡 Distribution Strategy
- Internal team Wiki link
- Company Slack bot integration
- Embed in internal tool
- Browser extension
- Public GPT Store (marketing)
- API wrapper for automation
📈 Success Metric
- Daily active user
- Task completion rate
- User satisfaction (feedback)
- Time saved (user report)
- Error/refusal rate
- Cost per interaction