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Docs › Reference › Tool Category Taxonomy

Tool Category Taxonomy

Last updated: 2026-05-18

AI Tool Category Taxonomy

How HokAI organizes the AI tool landscape. The taxonomy is structured across three dimensions: architecture type, use case, and deployment model. Each category has a definition and a few representative examples.

By Architecture Type

Foundation Models — Core LLMs and multi-modal models. The underlying intelligence that most tools are built on. Examples: ChatGPT, Claude, Gemini.

AI Agents — Tools that take autonomous actions. They use APIs, browse the web, execute code, and complete multi-step tasks. Examples: Cursor in agent mode, Claude Code, workflow agents.

Workflow Platforms — Connect AI to other software. Triggers, actions, and data flows. Examples: Zapier, Make, n8n.

Developer Tools — AI for writing and reviewing code. IDEs, copilots, and terminals. Examples: Cursor, GitHub Copilot, Replit.

Vertical SaaS — Industry-specific AI built into sector software. CRM, HR, legal, healthcare. Examples: Salesforce Einstein, Workday, legal AI platforms.

By Use Case

Writing — Drafting, editing, copywriting, content generation. Examples: Jasper, Copy.ai, Notion AI.

Image Generation — Creating images from text prompts. Examples: Midjourney, DALL-E, Flux.

Video — Generating or editing video with AI. Examples: Runway, Pika, Descript.

Audio — Voice synthesis, music generation, transcription. Examples: ElevenLabs, Suno, Otter.

Code — Coding assistance and generation. Examples: Cursor, GitHub Copilot, Codeium.

Data Analytics — Analysis, visualization, and reporting. Examples: Tableau AI, Power BI, various AI analytics tools.

Customer Support — Chatbots, triage, and knowledge base tools. Examples: Intercom Fin, Zendesk AI, Freshdesk.

Marketing — Content creation, SEO, ads, email. Examples: Jasper, Surfer, HubSpot AI.

Sales — Prospecting, outreach, and CRM intelligence. Examples: Outreach, Gong, Salesforce Einstein.

HR and Recruiting — Screening, scheduling, and candidate sourcing. Examples: Greenhouse, Lever, Gem.

Legal — Contract review and legal research. Examples: Kira, Luminance, Casetext.

Finance — Analysis, forecasting, and document extraction. Examples: Google Document AI, financial AI platforms.

Education — Learning, tutoring, and assessment. Examples: Khanmigo, Duolingo Max.

Research — Literature review and synthesis. Examples: Elicit, Perplexity, Semantic Scholar.

Productivity — Task management, notes, and scheduling. Examples: Notion AI, Todoist, Motion.

Design — Layout, assets, and prototyping. Examples: Figma AI, Canva, Uizard.

By Deployment

Cloud / SaaS — Hosted by the vendor, accessed via browser or API. The default for most AI tools. Examples: ChatGPT, Claude, most tools.

Self-Hosted — Run on your own infrastructure. Data stays local. Examples: Llama, Mistral, n8n (self-hosted).

API-Only — No interface. Integrate programmatically via API. Examples: OpenAI API, Anthropic API, embedding APIs.

Desktop — Installed locally on your machine. Examples: Cursor, Claude desktop app.

Mobile — Native apps for phones and tablets. Examples: ChatGPT mobile, various consumer AI apps.

Browser Extension — Works inside the browser, enhancing existing sites and tools. Examples: Grammarly, various AI writing assistants.


  • Navigating the Directory
  • Understanding Tool Categories
  • The AI Tool Landscape in 2026