Tactiq
generalLive meeting transcription and instant summaries
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.
Live meeting transcription and instant summaries
Privacy-focused search engine with Bang commands
Customer support agents that live in your apps
Sales conversation intelligence and automation
Customer support automation with AI agents
Website chatbot trained on your content
NSFW AI chat with character customization
Customer intelligence and analytics
Custom AI chatbots trained on your data
Chatbot and customer engagement platform
Transcribe voice memos automatically
Fast, accurate transcription in multiple languages
Coaching software with scheduling, notes, and AI insights
Multilingual chatbot supporting over 100 languages
AI assistant for knowledge and learning
Speech-to-text that runs offline on your computer
AI chat suggestions for online dating conversations
Walking tour generation and exploration
Meeting transcription with AI summaries
Build chatbots for WhatsApp, Facebook, and Instagram without code
AI live chat, help center, and ticketing system
No-code chatbot builder with multi-platform deployment
Automate customer support with ChatGPT-powered responses
Fast and accurate transcription for audio and video
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.