FFMPerative vs ScreenplayIQ

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

Analysis reviewed Live tool data as of 2026-08-24
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At a glance

DimensionFFMPerativeScreenplayIQ
Primary Use CaseDecision intelligence for AI model improvementsScreenplay analysis & box office prediction
Pricing ModelFreemiumContact sales (Free tier available)
Target UsersAI/ML teams, engineersScreenwriters, producers, studio execs
Key FeatureAutomated PR generation with research-backed improvementsBox office performance prediction
IntegrationGitHub, Linear, MLflow, W&B, Slack, Claude CodePitchTrailer
Open SourceOpen-source repositories on GitHubNo

These tools serve completely different domains: FFMPerative is for AI engineering teams optimizing production models, while ScreenplayIQ targets the film industry. Choose FFMPerative if you're an ML team wanting automated improvement suggestions; choose ScreenplayIQ if you're a screenwriter or producer needing data-driven script analysis and box office forecasts.

FFMPerative
FFMPerative

Decision intelligence that ranks your next AI improvement against your codebase, constraints, and past results.

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ScreenplayIQ
ScreenplayIQ

AI screenplay analysis with box office prediction and tailored feedback.

Visit Website
Pricing
Freemium
Paid
Plans
$0 / forever
Custom (60-day, refundable if criteria missed)
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
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIWebAPIPlugin
WebAPI
Categories
📡 LLM Observability & Evals🔎 Code Review & Quality
📖 Fiction & Screenwriting
Features
Outrider on GitHub Marketplace (v1.7)
Draft PRs from recent research
Candidate funnel from many prompts to 1 high-confidence PR
Fit, reachability, and license checks
ExperimentOps dashboard with portfolio view
CLI tool (pip install remyxai)
Daily paper digest via CLI
MCP server for Claude Code
REST API access to recommendation engine
Integrations with GitHub, Linear, Jira, Slack, MLflow, W&B, Arize, Langfuse, Statsig, LaunchDarkly
Bring your own key for Anthropic, Z.ai GLM, Moonshot Kimi
Server-side key handling via scoped GitHub App
Observe-only mode with human-gated merges
Open-source repositories on GitHub
Community Discord support
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
Linear
Jira
Slack
MLflow
Weights & Biases
Arize
Langfuse
Statsig
LaunchDarkly
Modal
Hugging Face
PitchTrailer

What real users say: FFMPerative 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.

FFMPerative

3 mentions across 1 sources · 50% positive — mixed

GitHub

What users praise

  • Promising concept: recommends highest-impact AI changes from recent research.
  • Auto-generates draft PRs with reasoning and diff on GitHub.
  • Funnels from 25 prompts to 1 high-confidence PR to reduce noise.
  • Runs fit, reachability, and license checks before recommendations.

What frustrates them

  • CLI command returns 'None' instead of output.
  • Extremely sparse community feedback — only 3 GitHub posts.
  • No reviews from Reddit, HN, YouTube, or Product Hunt.
  • Only 204 GitHub stars indicates low traction.

Researched Jul 3, 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

  • AI team lead wanting to optimize model improvements
    Pick: FFMPerative

    FFMPerative automates research-to-PR pipeline, reducing manual effort and prioritizing high-impact changes.

  • ML engineer evaluating new techniques
    Pick: FFMPerative

    Scans research, matches to your codebase, and opens draft PRs with analysis.

  • Screenwriter seeking script market feedback
    Pick: ScreenplayIQ

    Provides structural beat analysis, box office prediction, and comparative market data.

  • Producer evaluating multiple scripts
    Pick: ScreenplayIQ

    Collaborative workspace and API access for batch analysis and financial forecasting.

Frequently Asked Questions

FFMPerative vs ScreenplayIQ: which should you choose?

These tools serve completely different domains: FFMPerative is for AI engineering teams optimizing production models, while ScreenplayIQ targets the film industry. Choose FFMPerative if you're an ML team wanting automated improvement suggestions; choose ScreenplayIQ if you're a screenwriter or producer needing data-driven script analysis and box office forecasts.

Can FFMPerative help with non-AI codebases?

No, it's designed for AI/ML repositories with CI pipelines.

Does ScreenplayIQ support TV scripts?

No, only feature films; TV and short films are not supported.

What integrations does FFMPerative offer?

GitHub, Linear, MLflow, Weights & Biases, Slack, and Claude Code via MCP server.

Can ScreenplayIQ predict exact box office revenue?

It predicts performance based on narrative structure and market data, but accuracy may vary.

Is FFMPerative open source?

Yes, repositories are available on GitHub.

What is the free tier of ScreenplayIQ?

1 analysis per month with limited features.

Does FFMPerative require a GitHub account?

Yes, for PR generation and integrations.

Can I use ScreenplayIQ for scripts over 150 pages?

No, AI context window limits prevent analysis of longer scripts.

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Last reviewed: July 3, 2026