Tool Categories

Autonomous or pair-programmer coding tools and AI-powered code editors: agentic CLIs, in-editor assistants, and IDEs that write or refactor code end-to-end.

Libraries and runtimes for building custom AI agents: orchestration primitives, planner/executor loops, tool-calling harnesses, and SDKs that wrap LLMs into agent shapes.

AI-assisted product design, UI generation, and interactive prototyping tools. Produces screens, components, wireframes, and live prototypes.

Generative and editing tools for images, video, and visual effects. Includes text-to-image, text-to-video, editors, up-scalers, and VFX helpers.

Voice agents, TTS, STT, and real-time conversational audio stacks. Includes voice SDKs, dictation, and telephony-grade speech tooling.

Evaluation harnesses, LLM tracing, monitoring, and prompt/agent observability. Dashboards, judges, replay tools, and regression suites for LLM apps.

3D modelling, scene generation, robotics, and tools that produce real-world or spatial artifacts (CAD, mesh, animation, hardware control).

Memory stores, long-context systems, and context-management tools built specifically for agents and chat apps.

Reusable skill packs, agent templates, extensions, and plugin catalogs that drop into host agents (Claude, ChatGPT, Cursor, etc).

Tools for logos, color systems, brand kits, and visual identity generation.

Headless/headed browsers, scrapers, and UI-automation runtimes that give agents a browser to drive.

AI tools for product management, operations, finance ops, CRM, and cross-functional business workflows.

Customer-facing chatbots, support agents, and conversational front-ends for websites and apps.

Catalogs of tools, models, benchmarks, or agents. Discovery surfaces and meta-directories.

Documentation builders, knowledge bases, wikis, and tools that produce or manage structured reference content.

Programmable email, SMS, push, and messaging infrastructure with AI features (deliverability, templating, agents over inboxes).

Horizontal, goal-driven agents that work across your tools until a job is done. You describe what "done" looks like; the agent plans steps, pulls context from docs, mail, browsers, and SaaS, and keeps iterating until the goal is met. Unlike coding agents or vertical assistants, these serve any role — individual or team — and deliver end-to-end outcomes rather than single replies.

Inference runtimes, model serving platforms, fine-tuning infra, and GPU/accelerator providers for LLMs.

Translation, dubbing, and localization platforms for text, audio, and video.

Model Context Protocol servers/clients, connector catalogs, and integration platforms that expose external systems to agents.

AI music generation, audio production, mastering, and sound-design tools.

Drag-and-drop or prompt-driven app builders. Produce full applications, sites, or workflows without writing code.

Workflow engines, DAG runners, queue systems, and orchestration platforms for AI pipelines and background work.

Slide decks, pitch generators, and presentation-authoring tools powered by AI.

Search, RAG, vector retrieval, and AI-native web search tools. Indexes, retrievers, and grounding services.

Code sandboxes, cloud dev environments, and ephemeral VMs that host agent-executed or user-executed code.

Security scanners, guardrails, prompt-injection defences, and reliability tooling for AI applications.

Databases, object storage, data pipelines, and data-infra tools used by AI applications.

Storyboarding, scriptwriting, shot-planning, and pre-production tools for film/video creators.

Web hosting, deploy platforms, CDNs, and general cloud infrastructure used to run AI-powered apps.

AI-enhanced workspaces, note-taking, meeting notes, and cross-app productivity surfaces.

Long-form writing, copywriting, editing, and content-generation tools optimised for prose or marketing copy.