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generalBuild and deploy custom apps with no code
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.
Build and deploy custom apps with no code
Real-time voice changer for Discord, Zoom, and OBS
Online course for AI prompt engineering
Single API for 500+ AI models
Create summaries from any text automatically
Generate YouTube scripts and track competitor content
Access advanced ChatGPT interface and prompts
Screen recorder with AI transcription and meeting notes
Generate 3D models from text, images, or sketches
Native macOS app for ChatGPT and GPT-4 with Assistant API
Convert Twitter Spaces to text and summaries
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
Product analytics for B2B SaaS
Slack summaries and team workflows
Analyze customer feedback and act on customer voice
AI code review with intelligent insights into your codebase
Automated essay grading and feedback for teachers
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.