Meta AI
generalMeta's assistant built into WhatsApp, Instagram, and the web
AI chat tools include chatbots, conversational assistants, and platforms for building and deploying chat-based AI experiences. With 955 tools, this is one of the largest categories in the directory, covering everything from customer service bots to personal AI companions and sales coaching systems.
Meta's assistant built into WhatsApp, Instagram, and the web
Enterprise voice AI with deepfake detection and compliance
Generate meeting summaries and action items
Custom AI agents for sales automation and 24/7 support
AI-powered tool for faster, more accurate typing
Chat with GPT-4 and other AI models for free
Chat with historical figures and custom AI characters
Practice interviews with AI feedback
No-code AI chatbot builder for websites and messaging
Chat with AI experts across different fields
AI personalization for cold outreach and LinkedIn messages
Audio transcription and subtitle translation
AI-powered personalized travel itineraries
Daily AI assistant for productivity
No-code chatbot builder for websites and messaging apps
No-code chatbot builder
Meeting summaries
AI tool for writing emails faster
Build chatbots trained on your business data
Ask questions, get instant answers
AI training platform for therapists
AI for life sciences communications
Personal AI assistant that learns your habits and work patterns
AI response generator for Gmail, Outlook, Twitter, and LinkedIn
The breadth here is significant. On one end are end-user chat applications where you interact with an AI directly, like CogBias AI or Eloquens AI. On the other are platforms like Markprompt that let you build custom chat interfaces on top of your own documentation or knowledge base. Sales-specific tools like Salesably and Triple Session focus on coaching and call analysis rather than open-ended conversation. Customer support tools like Watchdog.chat and AIPEX are deployed externally, handling queries on behalf of a business. When evaluating, the key question is whether you need a ready-made chat product or infrastructure to build your own. For the latter, the quality of the RAG pipeline, latency, and customization options matter most. For end-user products, context retention across sessions and instruction-following quality are the main differentiators. Pricing varies from free tiers to per-conversation billing.