Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Do Browser
✓ verifiedFreemium
AI browser-automation Chrome extension that runs web tasks, scrapes data and builds files from plain-English instructions.
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WebCopilot AI
Free
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PromptLayer
✓ verifiedFree
Prompt engineering, management, and LLM observability platform.
212K visits/mo
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Convex
✓ verifiedFreemium
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
692K visits/mo20K saves
Pricing
Free: $0/mo (BYO ChatGPT/Claude, 10 hosted messages)
Standard: $25/mo (hosted model)
Max: $100/mo (heavy usage)
No public pricing
No public pricing
Free & Starter: $0/mo (pay-as-you-go, 1-6 developers)
Professional: $25/developer/mo
Business & Enterprise: $2,500/mo minimum
No public pricing
Core features
- ✦Natural-language control of Chrome actions
- ✦Web data scraping and export to CSV/files
- ✦Works across multiple browser tabs
- ✦Bring-your-own ChatGPT/Claude or hosted model
- ✦Content and slide generation
- ✦No-code, no scripting setup
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- ✦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
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- ✦Orchestration
- ✦SDK
- ✦Prompting
- ✦Evaluations
- ✦Retrieval
- ✦Deployment
- ✦Observability
- ✦Visual Workflow Builder
- ✦LLM Playground
Use cases
- →Automating repetitive browser tasks
- →Extracting web data into spreadsheets
- →Summarizing pages and messages
- →Building quick personal tools and slides
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- →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
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development
- →Building agentic AI workflows
- →Generating a LinkedIn post from a URL
- →Testing prompt designs and model configurations
- →Evaluating AI system quality
- →Deploying AI updates
- →Monitoring AI decisions
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