Design

• https://www.lovart.ai/
  • Possibly replace entire design teams
  • Generate Logos and Brands' Visual Identity
• https://stitch.withgoogle.com/
  • Generates mock ups, prototypes
  • Exportable to Figma for editing
• https://app.napkin.ai/
  • Generates visuals/charts from texts
  • Can be exported to PNG, SVG, PPT, PDF.

General Agents

1. https://manus.im/
2. https://skywork.ai/
3. https://www.genspark.ai/
4. https://try.flowith.io/
5. https://agent.minimax.io/

AI Chatbots

1. https://chatgpt.com/
2. https://claude.ai/
3. https://qwen.ai/
4. https://www.deepseek.com/

AI Coding

Mainly using for MVPs and prototyping

• https://replit.com/
• https://lovable.dev/
• https://bolt.new/

Coding Agents

• Gemini CLI

AI IDEs

1. VSCode + Github Copilot (Best for Students, with https://education.github.com/)
   • Agent Mode https://code.visualstudio.com/docs/copilot/chat/chat-agent-mode
   • Use context https://code.visualstudio.com/docs/copilot/reference/workspace-context
   • Use .instructions.md, similar to Cursor's rules https://code.visualstudio.com/updates/v1_100#_prompt-and-instructions-files
   • Using MCPs
     • MCP Prompt Snippets https://code.visualstudio.com/updates/v1_101#_mcp-support-for-prompts
   • Enable Next Edit Suggestions
     • https://code.visualstudio.com/updates/v1_100#_new-next-edit-suggestions-nes-model
   • Tool Sets
     • https://code.visualstudio.com/updates/v1_101#_chat-tool-sets
2. Cursor
   • Cursor Rules https://docs.cursor.com/context/rules
   • Cursor Rules Templates: https://cursor.directory/rules

AI Search

1. https://www.perplexity.ai/
2. https://www.n.cn/

MCPs

1. Open Memory MCP
2. Playwright MCP (For LLMs to interact with websites)

AI Native Browsers

1. https://www.diabrowser.com/
2. https://www.genspark.ai/browser (yet to test)
3. https://brave.com/leo/ (using with Local Models through LM Studio)

Video Models

• https://deepmind.google/models/veo/

AI Video Generation

• https://labs.google/fx/tools/flow
• https://hailuoai.video/

Image Models

• Black Forest Labs' FLUX models https://playground.bfl.ai/image/generate
• Krea https://www.krea.ai/krea-1

Image Generation

• https://labs.google/fx/tools/image-fx

Workflow Automations

• https://n8n.io/
• https://flowiseai.com/
• https://superagi.com/

Running Local LLMs

• https://lmstudio.ai/
  • Main LLM: https://lmstudio.ai/models/qwen/qwen3-30b-a3b
  • Draft LLM: https://lmstudio.ai/models/qwen/qwen3-1.7b
    • Used for Speculative Decoding — a method that accelerates the text generation process by using a smaller "draft" model to quickly propose tokens, which are then verified by a larger "main" model. This allows the main model to accept only those tokens that align with its own generated output, ensuring quality while significantly reducing inference time. The greater the size difference between the two models, the more pronounced the speed-up, provided both models share the same vocabulary.
  • Embedding Model: https://github.com/QwenLM/Qwen3-Embedding
• http://ollama.com/

Note Taking

1. https://notebooklm.google.com/
2. Obsidian + Copilot Extension

Others

• https://labs.google/
• Chatting with Github repos https://deepwiki.com/

Reading List

• A Practical Guide to Building Agents — OpenAI
• Agents Companion — Google
• Building Effective Agents — Anthropic
• Context Engineering for AI Agents: Lessons from Building Manus