Kiln vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-08-23
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At a glance

DimensionKilnScreenplayIQ
PricingFree (open-source desktop app and library), SaaS possibly paid in futureFree (1 analysis/mo), Pro $19/mo, Studio $49/mo
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.

Kiln
Kiln

Local-first AI workbench for building, evaluating, and optimizing AI systems.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis with box office prediction and tailored feedback.

Visit Website
Pricing
Freemium
Paid
Plans
$0/mo
Request access
Custom
~$24 for TV / ~$38 for Feature
~$48 for TV / ~$78 for Feature
~$60 for TV / ~$98 for Feature
~$24 for TV / ~$38 for Feature
~$24 for TV / ~$38 for Feature
~$118 for TV / ~$198 for Feature
Popularity
5 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopCLI
WebAPI
Categories
📡 LLM Observability & Evals📦 LLM App Frameworks & SDKs🏷️ Data Labeling & Training Data
📖 Fiction & Screenwriting
Features
Prompt management with versioning
Evals platform with LLM-as-Judge scoring
AI Eval Builder for generating eval datasets and judge prompts
Auto-Optimizer to auto-tune prompts to eval scores
Kiln Prompt Optimizer (Feb 2026) that beats manual optimization
Synthetic data generation (filter, label, generate)
Fine-tuning for model distillation
RAG with semantic chunking and reranking
Agent Builder with sub-agents, skills, tools, and MCP support
Local RAG without third-party services
AI Assistant for guided experimentation and optimization
Git-backed dataset and eval versioning
Structured output (JSON) and reasoning support
Tool use evals
Open-source Python library (MIT licensed)
AI-powered structural analysis
Box office performance prediction
PitchTrailer integration for pitch decks
Beat sheet generation
Visual heatmap of dialogue and pacing
Genre classification
Character arc and emotional journey charts
Comparative market data
PDF report export
Collaborative workspace (up to 5 users)
Custom genre templates
API access
Advanced analytics dashboard
Priority support
Dedicated account manager
Integrations
GitHub
Discord
YouTube
LanceDB
MCP (Model Context Protocol) servers
Claude Code
PitchTrailer

What real users say: Kiln vs ScreenplayIQ

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

Kiln

72 mentions across 5 sources · 41% positive — mixed

Hacker News, App Store, Bluesky, GitHub, Lemmy

What users praise

  • All-in-one AI development suite with evals, RAG, agents, fine-tuning.
  • Local-first approach reduces dependency on cloud providers.
  • Supports 190+ models, cloud and local, for flexibility.
  • Auto-optimizer tunes prompts to eval scores for continuous improvement.

What frustrates them

  • No real user feedback to validate features or reliability.
  • 56 open GitHub issues may indicate unresolved bugs.
  • Confusing brand name overlaps with pottery tools and coworking spaces.
  • Community entirely absent across major tech forums.

Researched Jul 6, 2026

ScreenplayIQ

7 mentions across 1 sources · 25% positive — critical

YouTube

What users praise

  • Pay-per-analysis avoids subscription lock-in.
  • Offers box office prediction, a unique feature.
  • Tailored feedback based on script length and TV options.
  • Includes character journey charts and beat sheets.

What frustrates them

  • Reported to nearly ruin a user's script feedback.
  • Expensive per analysis, up to $198.
  • No line-by-line editing, despite expectations.
  • Limited to English scripts only.

Researched Aug 18, 2026

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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Last reviewed: July 3, 2026