Plusdocs
generalAI presentation maker for PowerPoint and Google Slides
General AI and machine learning tools include platforms for building, deploying, and managing ML models, along with infrastructure, evaluation, and workflow tools that support AI development broadly. With 674 tools, this category covers a wide spectrum from no-code ML builders to developer-facing MLOps infrastructure.
AI presentation maker for PowerPoint and Google Slides
AI content generation for businesses
Practice management for healthcare
Online course for AI prompt engineering
Automate deal analysis and CIM review
Press kit creation and media distribution
Extract insights from reviews, surveys, and social media
Affordable legal document templates and guides
Save and share prompts in one place
Access advanced ChatGPT interface and prompts
AI chat bot for Twitch and Kick with custom personalities and games
ChatGPT-powered content generation for WordPress
Native macOS app for ChatGPT and GPT-4 with Assistant API
Live translation and AI speech interpretation
Use AI anywhere on Mac with keyboard shortcuts
Automated code review for bugs, security, and performance
ADHD-friendly assistant for notes, email, and calendar
Medical-legal AI for Canada
URL shortener with analytics and QR codes
Online baccarat platform with automated AI system
Discounted hotel, apartment, and villa bookings
AI dubbing and video translation
Automatically format and style documents
Slack summaries and team workflows
This category includes tools aimed at very different audiences. Platforms like Ultracode and Workverse lean toward automation and productivity applications built on AI, while infrastructure tools like EdgeTrace serve engineers managing model pipelines and monitoring production systems. Tools like Userpersona and Hippo Scribe apply ML techniques to specific tasks like persona generation or medical transcription. The unifying thread is that they are powered by machine learning but do not fit neatly into a narrow vertical like image generation or speech-to-text. When navigating this category, the most useful filters are technical depth (no-code vs. API-first), deployment environment (cloud vs. self-hosted), and target use case. Many enterprise-grade tools here require custom pricing quotes, while developer tools often offer usage-based billing. Evaluating model accuracy and latency on your specific data is almost always necessary before committing to production use.