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Numa
✓ verifiedPaid
AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
207K visits/mo337 saves
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PromptLayer
✓ verifiedFree
Prompt engineering, management, and LLM observability platform.
212K visits/mo
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ChatTube
✓ verifiedFreemium
AI tool and Chrome extension to chat with, summarize, transcribe and translate any YouTube video or podcast.
100K visits/mo7.1K saves
Pricing
No public pricing
No public pricing
Human in the Loop: $15 per million characters
Adaptive: $15 per million characters
Localization Teams: $100 per million characters
Individual Translator: $25 per month
Essential: $6.99/mo (30 credits/day)
Growth: $9.99/mo (100 credits/day)
Pro: $16.99/mo (unlimited credits)
Free trial available
Core features
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
- ✦Dynamic adaptation for real-time learning
- ✦Human-in-the-loop innovation for continuous improvement
- ✦Document-level translation
- ✦Support for 200 languages
- ✦Simple API for integration
- ✦Quality estimation
- ✦Language identification
- ✦Chat with any YouTube video via AI
- ✦Summaries and key-point extraction
- ✦Transcript download and translation
- ✦Transcribe videos without captions and podcasts
- ✦Chrome extension and web app
- ✦Saved chat and video history
Use cases
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team
- →Improving translation quality for enterprises
- →Boosting productivity for translators
- →Adapting to specific terminology and context
- →Integrating machine translation into existing workflows
- →Learn faster from educational videos
- →Summarize long videos and podcasts
- →Translate captions to other languages
- →Research content for creation
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