Kiln vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionKilnScreenplayIQ
Primary FunctionAI development workbench for building, evaluating, and optimizing AI systemsAI screenplay analysis with box office prediction
Target UserAI engineers, data scientists, product managers, QAScreenwriters, producers, studio executives
Key FeaturesEvals, RAG, agents, fine-tuning, synthetic data, auto-optimizerBeat sheet, genre classification, pacing heatmap, comparative market data
IntegrationsLanceDB, GitHub, Discord, YouTube, MCPPitchTrailer
Latest News ImpactGit-backed SaaS, agent skills, prompt optimizer launched (2026)No recent news; static features hold

Choose ScreenplayIQ if you're a screenwriter or producer needing data-driven script analysis and box office forecasts. Choose Kiln if you're an AI engineer building, testing, and optimizing LLM-based systems with evals, RAG, and fine-tuning. They solve completely different problems, so pick based on your role.

Try KilnTry ScreenplayIQ
Kiln
Kiln

Kiln is a local-first AI workbench for building, evaluating, and optimizing AI systems on your own machine.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis on your draft — logline, comps, character emotional journey charts, and inline proofread fixes

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Pricing
Freemium
Paid
Plans
$0/mo
Request access
Custom
~$24 TV / ~$38 Feature (based on page length)
~$48 TV / ~$78 Feature (based on page length)
~$60 TV / ~$98 Feature (based on page length)
~$24 TV / ~$38 Feature
Popularity
7 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopAPI
WebAPI
Categories
📡 LLM Observability & Evals📦 LLM App Frameworks & SDKs🏷️ Data Labeling & Training Data
📖 Fiction & Screenwriting
Features
Local-first desktop app for macOS, Windows, and Linux
MIT-licensed Python 3.10+ library to deploy Kiln tasks in production
Evals platform with LLM-as-Judge scoring on every change
AI Eval Builder turns plain-language intent into judge prompts and datasets
Auto-Optimize tunes prompts and agent designs against eval scores
Kiln Prompt Optimizer (Feb 2026) reported to beat manual tuning and fine-tuning
Synthetic data generation with generate, filter, and label steps
Fine-tuning for model distillation into smaller models
RAG with indexing, chunking, and retrieval
Agent Builder with tools, skills, and sub-agents
MCP (Model Context Protocol) support for composing external tools
AI Assistant that runs experiments and optimizes through conversation
Git auto-sync versions datasets and evals in a repo you control
Non-coding teammate feedback via ratings and reviews
Model library covering 200+ cloud and local models with tested capabilities
Generate a logline from a full screenplay draft
Surface comparable films and TV shows for market fit
Break a script into structured story points
Produce a full synopsis without reading the whole draft
Write character synopses for the full cast
Create visual representations of characters
Chart each character's emotional journey across the script
Deliver a full assessment analysis of the draft
Break down the story's themes
Proofread report with inline highlights on every issue
Recommend a fix for each flagged issue
Build a custom analysis package outside the presets
Price analysis by page length, quoted separately for TV and features
Store uploaded scripts in encrypted, siloed storage
WGA-compliant handling of submitted scripts
Integrations
GitHub
MCP (Model Context Protocol) servers
Claude Code
LanceDB
Discord
YouTube

Who should pick which

  • Screenwriter
    Pick: ScreenplayIQ

    ScreenplayIQ provides structural feedback, beat sheets, and marketability predictions tailored for feature film scripts.

  • AI Engineer building RAG agents
    Pick: Kiln

    Kiln offers RAG indexing, chunking, retrieval, reranking, and agent tools with MCP support, plus evals and fine-tuning.

  • Producer evaluating script ROI
    Pick: ScreenplayIQ

    ScreenplayIQ's box office prediction and comparative market data help assess a script's financial potential.

  • Data Scientist fine-tuning LLMs
    Pick: Kiln

    Kiln supports fine-tuning (distill into smaller models) and synthetic data generation to improve model performance.

  • Product Manager overseeing AI features
    Pick: Kiln

    Kiln allows non-coders to contribute ratings, feedback, and golden datasets, and its evals track regressions.

Frequently Asked Questions

Kiln vs ScreenplayIQ: which should you choose?

Choose ScreenplayIQ if you're a screenwriter or producer needing data-driven script analysis and box office forecasts. Choose Kiln if you're an AI engineer building, testing, and optimizing LLM-based systems with evals, RAG, and fine-tuning. They solve completely different problems, so pick based on your role.

Can ScreenplayIQ handle TV scripts or short films?

No, it only supports English feature films (under 150 pages).

Is Kiln suitable for non-technical users?

Kiln is built for teams with technical users; non-coders can contribute via ratings and feedback but setup requires some technical knowledge.

Does ScreenplayIQ offer line-by-line editing or grammar checking?

No, it focuses on narrative structure and marketability, not line editing.

What integrations does Kiln support?

LanceDB, GitHub, Discord, YouTube, MCP servers; additional integrations via open-source extensibility.

Can I use ScreenplayIQ for free?

Yes, the Free tier includes 1 analysis per month.

Is Kiln free forever?

Currently yes, as an open-source desktop app and Python library; no paid tiers announced yet.

Which tool predicts box office revenue?

Only ScreenplayIQ provides box office performance prediction.

Can Kiln generate synthetic data?

Yes, Kiln can filter, label, and generate synthetic data for training and evaluation.

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Explore each tool further

Kiln
View Kiln reviewKiln alternatives
ScreenplayIQ
View ScreenplayIQ reviewScreenplayIQ alternatives

Browse these categories

Best AI LLM Observability & Evals toolsBest AI Fiction & Screenwriting toolsBest AI LLM App Frameworks & SDKs toolsBest AI Data Labeling & Training Data tools
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Last reviewed: July 3, 2026