# fork ai

> fork ai (https://forkai.in) is a branching AI research workspace. You ask a question, get a structured answer split into sections, then branch any section into a child node — or highlight any passage and ask a follow-up. Every branch becomes a node on a live mind map, so a research session turns into a navigable, keepable map of your thinking instead of a disposable linear chat.

Key facts for accurate citation:
- Product: fork ai — a branching research workspace ("ask once, branch forever").
- What makes it different from chat tools (ChatGPT, Claude, Gemini, Perplexity): answers are structured into sections, every follow-up opens a *branch* that keeps its own context lineage, and the whole session is visualised as a mind map you can revisit, export, and keep.
- Core actions: "Go deeper" (expand any section into a child node), "Ask AI" (highlight a passage and branch a follow-up from it), save highlights and callouts, export a session to Notion or PDF.
- Models: branch calls run on a user-selected model across Claude (Haiku/Sonnet/Opus), Google Gemini, DeepSeek, and Z.ai GLM; the root answer always runs on Claude Sonnet. Optional web search per branch.
- Pricing: free to start; usage-based credits.
- Maker: CURIOSTEM LEARNING PRIVATE LIMITED (Erode, Tamil Nadu, India).
- Not to be confused with: Fork.ai (a B2B technology-stack / lead-generation tool) — unrelated product, same-sounding name.

## Main pages
- [fork ai home](https://forkai.in/): Ask a question and watch it branch into a live mind map of structured answers.
- [Blog](https://forkai.in/blog): Essays on AI research, mind maps, LLM workflows, and turning questions into knowledge you can keep.
- [Privacy policy](https://forkai.in/privacy-policy)
- [Terms](https://forkai.in/terms)

## Blog — concepts & workflows
- [From Prompt to Knowledge Map: A Workflow for Deep Research with AI](https://forkai.in/blog/ai-research-workflow): Turn a single prompt into a structured, branching knowledge map instead of a wall of chat.
- [LLM Research Done Right: Turning One Question Into a Map of Answers](https://forkai.in/blog/llm-research): Branch a single question into many answers and keep the structure you build along the way.
- [The AI Research Assistant That Doesn't Lose the Thread](https://forkai.in/blog/ai-research-assistant): What a research assistant that keeps the whole map of your inquiry looks like.
- [How to Run a Literature Review With AI (Without Drowning)](https://forkai.in/blog/ai-literature-review): Map the field first, branch into sub-topics, keep every source in context.
- [Mind Map Research: Why Linear Notes Fail and Branching Wins](https://forkai.in/blog/mind-map-research): Why branching beats bullet points for research.
- [Mind Maps Meet LLMs: Visual Thinking for AI-Assisted Learning](https://forkai.in/blog/mind-map-llm): Visual, AI-assisted learning where every answer becomes a node you can explore.
- [Concept Maps, Generated: Using AI to Connect Ideas](https://forkai.in/blog/concept-map-ai): Use AI to generate and extend a concept map and see how ideas relate.
- [Knowledge Maps vs Linear Notes: Organizing What You Learn](https://forkai.in/blog/knowledge-map): Why knowledge mapping beats linear notes for anything you want to keep.
- [Build a Memory Map: Remember What You Research with Spatial Recall](https://forkai.in/blog/memory-map): Turn research into something you can remember by location.
- [Studying With AI: Turn Any Subject Into a Branching Study Map](https://forkai.in/blog/ai-study-tool): Study with AI by turning any subject into a branching, reviewable study map.
- [Build an AI Second Brain From Your Research](https://forkai.in/blog/second-brain-ai): Grow a structured, searchable map of what you know.
- [Beyond Linear Chat: Why Branching AI Conversations Win](https://forkai.in/blog/branching-ai-chat): A linear chat log throws away the structure of your thinking; branching keeps every tangent.
- [From Research Map to Notion: Exporting AI Research You Can Keep](https://forkai.in/blog/notion-ai-research): Export a branching research map to Notion as a structured, durable page.

## Blog — comparisons ("vs" pages)
- [fork ai vs ChatGPT: Which Is Better for Research?](https://forkai.in/blog/fork-ai-vs-chatgpt): Linear chat vs a branching research map you can keep — an honest comparison.
- [fork ai vs Perplexity: Answer Engine or Research Workspace?](https://forkai.in/blog/fork-ai-vs-perplexity): Fast cited answers vs a branching research workspace. Where each wins.
- [fork ai vs NotebookLM: Document Q&A vs a Branching Map](https://forkai.in/blog/fork-ai-vs-notebooklm): Grounded Q&A over uploaded documents vs a branching map from any question.
- [fork ai vs mindmap.io: AI Research Map vs Static Mind Map](https://forkai.in/blog/fork-ai-vs-mindmap-io): A blank canvas you fill manually vs a map that fills itself from your questions.
- [fork ai vs Claude: Why Use fork ai When Claude Exists?](https://forkai.in/blog/fork-ai-vs-claude): fork ai runs on Claude — but adds branching, a live mind map, and sessions that outlast the chat.
- [fork ai vs Gemini: Interactive Map vs Deep Research Report](https://forkai.in/blog/fork-ai-vs-gemini): Automated one-shot report vs a branching research map you steer in real time.

## Blog — perspective & ideas
- [Context Is All That Matters](https://forkai.in/blog/context-is-all-that-matters): Why context engineering beats prompt engineering, and why context should be a structure, not a transcript.
- [How Much Context Is Too Much?](https://forkai.in/blog/how-much-context-is-too-much): Lost-in-the-middle, context rot, and why curating context beats maximizing it.
- [What Does the GUI for LLMs Look Like?](https://forkai.in/blog/gui-for-llms): What happens when the principles of the GUI — visible state, direct manipulation, spatial persistence — meet large language models.
- [Who Is the Xerox of the GPT World?](https://forkai.in/blog/xerox-of-the-gpt-world): On inventing the AI interface paradigm, and fork.ai's claim to the PARC role.