AI app for creatives · no coding needed
Transparent title-based watch and read shortlist workbench
Reduce decision fatigue while keeping the viewer's stated taste visible.
Made for: Households and small groups choosing what to watch or read next
What it does for you
The problem
Viewers and readers juggle several subscription recommendation tools, get opaque suggestions, and still cannot see why a title was chosen or where it is available.
What it gives you
Reviewed shortlist of movies, shows and books with visible reasons and availability
What you give it
A few liked titlesformat preferencescontent limitsavailable services
Build your own version of WatchNow, WatchNow AI 2.0 and more
One app with what these 3 AI tools do, yours to keep and change: WatchNow, WatchNow AI 2.0, Movie & Book Recommender.
Everything these tools do, in one app
- AI-powered recommendations Uses artificial intelligence to suggest movies and TV shows based on your preferences.Found in WatchNow, WatchNow AI 2.0, Movie & Book Recommender
- Input favorite titles You enter a few titles you like to get personalized suggestions.Found in WatchNow, WatchNow AI 2.0
- Personalized recommendation list Generates a curated list of recommendations tailored to your taste.Found in WatchNow, WatchNow AI 2.0
- Customizable number of recommendations You can choose how many recommendations you want to receive.Found in Movie & Book Recommender
- Dual movie and book recommendations Provides recommendations for both movies and books in one tool.Found in Movie & Book Recommender
- Trailers and descriptions Shows trailers and detailed descriptions for suggested films.Found in WatchNow AI 2.0
- Save watchlist Lets you create and save a personalized watchlist of movies to watch later.Found in WatchNow AI 2.0
- Adult content filter Filters out adult content to ensure family-friendly suggestions.Found in WatchNow AI 2.0
- Multiple streaming services support Supports multiple streaming services for a broader selection of movies.Found in WatchNow AI 2.0
- Unlimited searches Allows unrestricted searching for new movies without limits.Found in WatchNow
- Lifetime access Provides lifetime access to the AI recommendation tool with no recurring subscriptions.Found in WatchNow
- User-friendly interface Offers an intuitive and easy-to-navigate design for quick input and browsing.Found in WatchNow, WatchNow AI 2.0, Movie & Book Recommender
- Fast recommendation generation Quickly generates personalized movie recommendations to reduce decision fatigue.Found in WatchNow AI 2.0
- Genre and theme analysis Analyzes genres, themes, and styles to curate a list that matches your viewing preferences.Found in WatchNow
How it works, step by step
- Accept a few liked titles as taste input
- Generate AI-powered movie and show suggestions
- Generate matching book suggestions
- Set the number of recommendations returned
- Analyze genres, themes and styles behind each pick
- Show trailers and detailed descriptions
- Filter out adult content
- Check availability across supported streaming services
- Save titles to a personal watchlist
- Allow unlimited searches without limits
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed shortlist of movies, shows and books with visible reasons and availability with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Transparent title-based watch and read shortlist workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Transparent title-based watch and read shortlist workbench with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce decision fatigue while keeping the viewer's stated taste visible. For households and small groups choosing what to watch or read next, convert a few liked titles, format preferences, content limits and available services into a reviewed shortlist of movies, shows and books with visible reasons and availability. The benefit is a testable hypothesis, measured through shortlist acceptance rate and time to a chosen title; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect a few liked titles, format preferences, content limits and available services, then follow this sequence: 1. Accept a few liked titles as taste input. 2. Generate AI-powered movie and show suggestions. 3. Generate matching book suggestions. 4. Set the number of recommendations returned. 5. Analyze genres, themes and styles behind each pick. 6. Show trailers and detailed descriptions. 7. Filter out adult content. 8. Check availability across supported streaming services. 9. Save titles to a personal watchlist. 10. Allow unlimited searches without limits. Resolve uncertain cases with qualified reviewers, approve reviewed shortlist of movies, shows and books with visible reasons and availability, and measure shortlist acceptance rate and time to a chosen title against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed catalog snapshot and licensed metadata set; final viewing and reading choices remain personal. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One fixed catalog snapshot and licensed metadata set; final viewing and reading choices remain personal. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed catalog snapshot and licensed metadata set; final viewing and reading choices remain personal. Implement one approved input format, a bounded representative case set and the first two task modules: accept a few liked titles as taste input; generate AI-powered movie and show suggestions. Support the third module with operator review: generate matching book suggestions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Author-owned manuscripts, authorized interviews and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Taste input and references, Editable shortlist preview, Shared pick and delivery. Use a thumbnail gallery for saved lists, a large central shortlist canvas, and a right-hand panel for reasons, constraints and comments. Let users compare candidates side by side. Display draft, changes requested and approved states. Provide a shared preview link with comments anchored to the relevant title. Make the task-specific outcome reviewed shortlist of movies, shows and books with visible reasons and availability visible beside its evidence, review state and value baseline.
