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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

AIScriptReader logo
AIScriptReader
✓ verifiedPaid

AI screenplay-coverage tool returning structured coverage reports and development notes per script in minutes.

1.5K visits/mo
Augment Code logo
Augment Code
✓ verifiedPaid

Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.

544K visits/mo
16x Prompt logo
16x Prompt
✓ verifiedFreemium

Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.

21K visits/mo
Pricing
Single Report: $39 per report (coverage or development notes)
Combo Report: $78 per report (both)
Business: $100/mo flat (up to 50 seats, $100 usage included)

Free trial available

Free: $0 (10 prompts/day)
Individual lifetime license: $48
Team lifetime license: $68
Core features
  • 11-section AI coverage reports
  • Scene-by-scene development notes
  • AI chat assistant for deeper insights
  • Script dashboard and organization
  • Results in minutes
  • Free screenwriting tools (formatter, character builder)
  • Context Engine for codebase understanding
  • Agents across the full SDLC
  • Model routing / bring-your-own-keys
  • Automated code review and test coverage
  • CLI, MCP and native tool integrations
  • Enterprise security (SOC 2, ISO 42001, SSO)
  • Source-code context and prompt management
  • Custom and formatting instructions
  • BYOK API integrations (OpenAI, Claude, Gemini, etc.)
  • Token-limit tracking
  • Code-edit feature with visual diffs and backups
  • Local, offline prompt generation
Use cases
  • Getting screenplay coverage quickly
  • Development notes before rewrites
  • Evaluating scripts for production
  • Iterating affordably on drafts
  • Automating PR code review
  • Raising test coverage
  • Incident investigation and remediation
  • Large-scale migrations and onboarding
  • Building context-rich prompts for AI coding
  • Comparing model outputs on the same task
  • Reusing saved prompts across tech stacks
  • Keeping code private during prompt creation
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