NewOaks AI
generalAI phone calling assistant that sounds human
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 phone calling assistant that sounds human
AI assistant that handles customer queries and bookings
Screen candidates with AI-powered assessments
Chat with AI characters with simulated lives
Turn Notion docs into a customer help center
AI co-pilot for cold outreach and follow-ups
AI sales training through simulated scenarios
Cambridge English exam preparation tool
AI agents for account engagement and customer education
AI image analysis for content classification
Roleplay chat with AI characters
Sales coaching from conversation analysis
Marketing copy generation
AI problem-solving and brainstorming tool
Audio transcription and subtitle translation
Real-time transcription and summaries for Google Meet
Automate customer support responses
Generate emails in Gmail and Outlook
Get AI feedback on your photos
AI-powered personalized travel itineraries
Automated meeting notes and summaries
Run ChatGPT in Outlook
Personalized study plans with practice questions and progress tracking
Daily AI assistant for productivity
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.