Superhuman
generalAI productivity suite for email and work
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.
AI productivity suite for email and work
Free AI chatbot powered by ChatGPT 4
AI agents for customer support in 80+ languages
CRM and rolodex for personal and professional relationships
Unified inbox for Shopify customer support
Platform for system design and behavioral interview prep
Extract email addresses from LinkedIn profiles
AI-powered short links for team information sharing
Custom multilingual AI assistants for customer service
Interactive lessons aligned to school curriculum
AI email management and prioritization
AI chatbot for conversation
AI transcription in 100+ languages
Custom chatbot trained on your website and files
AI note-taking tool that summarizes meetings and extracts action items
AI companion for private adult connection through text, voice, and images
AI knowledge base and support chatbot for websites
Share sales best practices across your team
Multi-AI browser assistant for chat, writing, and image generation
Quickly screen resumes and applications to identify top candidates
Build brand systems with AI precision
Chat with AI via SMS and WhatsApp
AI stories and illustrations for children in hospitals
Generate flirty text replies instantly
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.