Fin by Intercom
supportAI support agent built into the Intercom helpdesk
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 support agent built into the Intercom helpdesk
Documentation platform with AI-powered Q&A
CRM and rolodex for personal and professional relationships
AI app for Quran memorization and learning
Frontend framework for LLM and agent integration
AI platform that protects learning in education
Extract email addresses from LinkedIn profiles
Quickly screen resumes and applications to identify top candidates
Chat with AI via SMS and WhatsApp
Build custom AI agents for your business
Mental health companion with daily check-ins and mood tracking
AI helpdesk built into Slack and Teams for ticket automation
Meeting assistant with smart summaries and AI copilot
CRM alternative that reclaims advisor time
AI-powered question answering tool
Generate emails in Gmail and Outlook
Customer support software with billing integrations
AI-powered role-play training for professionals
Pitch decks with SWOT analysis and real-time financials
Build and deploy AI models with low code
Create your own ChatGPT trained on your documents
Upload audio or YouTube links, get instant transcripts
Automate social media replies with AI
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.