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Shubham's AI Playbook

A personal reference for navigating the modern AI ecosystem - tools, workflows, models, and principles.

Choose Your Path

Pick where you want to go. Each path is organized for a different purpose.

🎯

Start Here

New to AI? Begin with orientation and quick start guides.

📚

Learn

Follow a guided learning path based on your role and goals.

🛠️

Decide

Compare tools, models, and frameworks. Make informed choices.

📖

Reference

Glossary, cheatsheets, principles, and quick lookups.

🔬

Research

Latest trends, model releases, and open-source developments.

⚙️

Deep Dives

Technical deep dives from fundamentals to production systems.

🤖

Claude

The Anthropic ecosystem: models, API, Claude Code, MCP, skills, and enterprise deployment.

💭

OpenAI

The GPT ecosystem: models, Responses API, Codex, Realtime API, MCP, and enterprise deployment.

🔬

DeepMind

Google's AI research lab: Gemini models, Antigravity, Veo, Gemma, AlphaFold, and science breakthroughs.

📉

DeepSeek

The cost leader: open-weight models, dual API, 15+ agent integrations, up to 95%% cost savings.

🤝

Community

Contribute, report outdated info, and join the conversation.


New to the AI ecosystem?

For a structured map of the whole landscape — how each major lab (Anthropic, OpenAI, Google DeepMind, DeepSeek) is organized, and where tools like Cursor, Perplexity, and LangChain fit — see The AI Landscape.

Otherwise, pick a path above, scan the comparison below, or jump into the Models Decision Guide.


Quick Comparison: Top Conversational AI

Feature ChatGPT (GPT-5.5)Claude (Claude Opus 4.8)Gemini (Gemini 3.1 Pro)DeepSeek (DeepSeek V4 Pro)Perplexity
Context window 1M1M1M1MVaries by model
Knowledge cutoff Dec 2025Jan 2026Jan 2025
API pricing (in/out per 1M) $5/$30 per 1M$5/$25 per 1M$2/$12 per 1M$0.435/$0.87 per 1MUses partner models
Reasoning model o3 ($2/$8)Extended thinking (built-in)Deep Think (built-in)DeepSeek R1 ($0.435/$0.87)Uses partner models
Image input
Web browsing ✅ (claude.ai)✅ Core feature
Code execution ✅ (Code Interpreter)✅ (Artifacts)
Subscription Plus $20/moPro $20/moAI Pro $20/moFree + APIPro $20/mo
Free tier GPT-5.5 Instant generous~20–40 msgs/dayGenerous Flash tierUnlimited (chat)5 Pro searches/day
Agentic tools Operator, integrationsClaude Code, Cursor, WindsurfWorkspace integrationsOpen weightsResearch synthesis
Best for General + reasoningWriting, long docs, complex reasoningVery long context researchCost-conscious teamsReal-time + cited sources

Model specs (context, pricing, reasoning, vision) are pulled from the playbook's model dataset. Verified as of 2026-06-05.

Tip: If you hit free limits often, the API is often cheaper for heavy use - you pay per token with no daily cap. For regular personal use, a $20/mo Pro plan on your most-used tool pays for itself quickly.


Complete Beginner? Here’s Your Path.

If you’re new to AI, don’t try to absorb everything at once. Follow this sequence over 4–6 weeks. Each step builds on the last.

1. Days 1–7 - Pick one AI assistant and use it every day

Don’t compare them yet. Use it for real tasks - drafting emails, summarising articles, explaining things you don’t understand. Volume over perfection.

  • ChatGPT - most popular, widest ecosystem
  • Gemini - best if you use Google Docs / Gmail
  • Claude - excellent for writing & long documents

All three are free. Pick one and stick with it for at least a week.

2. Week 2 - Learn what you’re actually working with

Before adding more tools, spend 30 minutes understanding the basics. It changes how you use everything.

  • Read the Glossary - token, prompt, context window, hallucination
  • Read Common Confusions - debunks myths everyone believes early on
  • Watch 3Blue1Brown’s “But what is a GPT?” on YouTube - 20 min, best visual explanation available

3. Weeks 3–4 - Add one specialised tool for your biggest pain point

Don’t sign up for everything. Pick the one that removes real friction from your day:

  • Coding / refactoring → Cursor ($20/mo) or Claude Code (pay-per-token)
  • Too many meetings → Otter.ai or Fathom (transcription + summaries)
  • Research-heavy work → NotebookLM (free, excellent for synthesis)
  • Lots of writing → Grammarly or Claude.ai Pro
  • Need web answers with sources → Perplexity ($20/mo Pro)

4. Month 2 - Stay current without getting overwhelmed

AI moves fast. You don’t need to read everything - just stay loosely informed.

5. Month 2+ - Pick your lane

Go deeper based on what you actually care about. Once you have the basics, use this playbook as your reference. Pick the path that fits your interest:

  • Agentic AI & Coding - Cursor (78% SWE-bench) → Claude Code → Agent Skills → Windsurf (75%) → Agents page
  • Creative work - Midjourney → Runway (video) → Suno (music) → Creative workflows
  • Building products - Cursor → Lovable → n8n automation → Tools page
  • Business & automation - Microsoft Copilot → Zapier → n8n workflows → Workflows page
  • How AI works - fast.ai → Karpathy’s YouTube → Read the Glossary & History pages
  • Privacy / self-hosting - Ollama → LM Studio → run Llama locally → Open-Source Models page
  • Ethics & Safety - Read the Principles page - agentic AI risks, alignment, responsible deployment

The biggest mistake beginners make: signing up for 10 tools in week one. Master one thing first. Focus on agentic AI tools (Cursor, Claude Code) if you code - they’re transformative in 2026.