SchedPilot
generalSchedule and manage posts across 10 social platforms
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.
Schedule and manage posts across 10 social platforms
Screen-aware AI agent that automates tasks in your workspace
Real-time AI translation for meetings
Conversations with Seneca on Stoic philosophy
AI chat support for multiple platforms
AI call screening and message taking
Open-source conversational AI framework
AI research assistant for user interviews
AI communication tool for staff and customers
Chatbot for conversation
Transcribe audio and video to text
AI assistant available on iPhone and Apple devices
Generate emails for marketing, sales, and support
Customer support automation and ticket management
Financial analysis and investment recommendations
AI-generated best man speeches
Voice-powered email assistant for Gmail
AI inbox assistant for founders
AI chatbot for ecommerce that deflects tickets and qualifies leads
AI assistant in Gmail that drafts replies and organizes email
Chatbot platform built for Indonesian language customer service
AI customer service and support automation
Food recognition API, nutrition software, and restaurant checkout solutions
Gesture recognition system that measures customer satisfaction without surveys
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.