Image and video decision
AI Film Tools
A small team or single technical user can build and host a curated review directory like aifilm.tools in about a week of focused work; the site's durable value is editorial and SEO, not proprietary tech or data.
Visit website↗$19/mo
$228/yr
Read off the official pricing page.
$50one-off28 h to build
$40/mo3 h/mo upkeep
On cash alone, building overtakes the subscription at 3 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Crawl and store curated tool profiles, render searchable tool listing and individual pages, show ratings/pricing and categories, let visitors filter and read reviews.
What it still won’t have
- Independent editorial voice and curated scoring
- Existing catalog of 118 reviewed tools and ongoing editorial updates
- Established backlinks and search visibility
- Any proprietary relationships or affiliate integrations the site owner has
- Polished review prose and opinionated product comparisons
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 3 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a searchable review directory for AI filmmaking tools using Next.js (React) + Tailwind, Postgres (Supabase acceptable) for storage, and Docker for deployment. Scope: importer script to ingest and normalize CSV/JSON tool profiles, Postgres schema for tools/categories/tags, REST/GraphQL API, Next.js frontend with listing, filters, and detail pages, simple admin UI to create/edit profiles, scheduled worker to refresh pricing snippets, and sitemap/SEO. Out of scope: implementing video-generation models, training custom ML, or running third-party paid APIs for generation. Require: error handling for scraper failures, input validation, basic unit tests for API and importer, and a deployment script (Docker + GitHub Actions).
How we checked
How the score was reached
- Build verdict base78
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score88
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productAI Film Tools — Home
- official pricingColossyan — Pricing & Review
- official docsCeltx — Features & Review
Integrity checks
What held up, and what did not.
