Learn Prompting
generalOnline course for AI prompt engineering
The ML category is a broad collection of 674 tools that apply machine learning across industries and functions, from healthcare documentation and legal research to user research, code generation, and content creation. It captures AI applications that do not fit cleanly into a single vertical.
Online course for AI prompt engineering
Access advanced ChatGPT interface and prompts
Native macOS app for ChatGPT and GPT-4 with Assistant API
ADHD-friendly assistant for notes, email, and calendar
Medical-legal AI for Canada
Online baccarat platform with automated AI system
AI dubbing and video translation
Automatically format and style documents
Slack summaries and team workflows
Analyze customer feedback and act on customer voice
AI code review with intelligent insights into your codebase
Because this category covers so many domains, browsing by sub-use case is more efficient than scrolling the full list. Tools like Hippo Scribe and SopCreator serve very specific professional workflows, while others like User Evaluation or Userpersona target product and UX teams. The quality bar across the category is uneven: some tools are mature products with enterprise customers, while others are early-stage experiments. When evaluating any tool in this space, look for evidence of actual accuracy and reliability in your specific domain, since ML performance varies dramatically across tasks. Integration depth and data handling are often the deciding factors for business use. Pricing models are diverse, from usage-based API billing to flat-rate SaaS subscriptions. Open-source alternatives exist for many of the underlying tasks, so for teams with technical resources, comparing commercial tools against self-hosted options is worth the effort.