OpenAI
generalOpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
General AI chat tools are conversational assistants that handle a broad range of tasks without being specialized for one domain. This is one of the largest categories on the platform with 947 tools, covering everything from customer support bots to personal productivity assistants and vertical-specific chat interfaces.
OpenAI's main chat interface, supporting GPT-4o, image input, voice, browsing, and DALL-E generation
Customer support automation with live chat
CRM and rolodex for personal and professional relationships
Provide customer context to AI agents via API or UI
Unify customer support, orders, and channels in one tool
Extract email addresses from LinkedIn profiles
Custom chatbots for healthcare with HIPAA compliance
AI feedback tool for student writing assignments
Meeting intelligence for professional services
Ace job interviews with AI coaching
Track email opens and clicks in Gmail for free
Record voice notes and turn them into text, tasks, or posts
Transcribe audio and video in 100+ languages with timestamps
Quickly screen resumes and applications to identify top candidates
Private and encrypted AI conversations
Deploy AI agents with Docker, DNS, and API integration
Chat with AI via SMS and WhatsApp
Build custom AI agents for your business
Mental health companion with daily check-ins and mood tracking
Analyze sales calls and provide coaching feedback
Build and deploy voice AI agents
AI makes difficult phone calls on your behalf
CRM alternative that reclaims advisor time
Temporary email that auto-deletes in 60 minutes
The sheer size of this category reflects how many products have been built on top of large language models with minimal specialization. Some tools here are genuinely general-purpose, while others have a primary use case like sales coaching (Salesably), legal research (Paxton AI), or customer service automation (Markprompt) that sits under a broader chat interface. Distinguishing between them takes a closer look at the target user and underlying model. Key factors to compare: whether the tool uses a proprietary model or a known foundation model, how it handles data privacy and conversation storage, whether it supports custom knowledge bases or document uploads, and what integrations it offers. For business use, API access and white-label options are often important. Pricing spans from free personal tools to enterprise plans with SSO, audit logs, and SLA guarantees. Given the volume of options, filtering by use case or integration requirement will narrow the field considerably.