Streaming Recommendations

Recommend 3-5 movies or TV shows to watch on streaming services, tailored to the user's genre, mood, format preference, and available platforms.

When to Use

•User asks "what should I watch?"
•User wants movie or TV show recommendations
•User mentions streaming services and wants suggestions
•User describes a mood or genre and wants entertainment picks

Process

Step 1: Parse the Request

Extract any preferences the user already provided. Look for these four dimensions:

Dimension	Examples
Format	Movie, TV show, or either
Genre	Action, comedy, sci-fi, drama, horror, thriller, documentary, animation, romance, fantasy, mystery, crime
Streaming service	Netflix, Hulu, Disney+, HBO Max, Prime Video, Apple TV+, Peacock, Paramount+, Tubi, or "any"
Mood / vibe	Light & fun, intense & gripping, thought-provoking, heartwarming, dark & gritty, nostalgic, suspenseful

Step 2: Ask What's Missing

If any of the four dimensions are missing, ask one multiple-choice question at a time in this priority order. Skip any dimension already provided:

•
Format — "Are you in the mood for a movie or a TV show?"
- •Movie
- •TV show
- •Either is fine
•
Genre — "What genre sounds good?"
- •Action / Adventure
- •Comedy
- •Drama
- •Sci-Fi / Fantasy
- •Horror / Thriller
- •Documentary
- •Surprise me
•
Streaming service — "Which service are you watching on?"
- •Netflix
- •Hulu / Disney+
- •HBO Max
- •Prime Video
- •Apple TV+
- •Peacock / Paramount+
- •Any / I have them all
•
Mood — "What vibe are you going for?"
- •Light & fun
- •Intense & gripping
- •Thought-provoking
- •Heartwarming
- •Dark & gritty
- •Surprise me

If the user provides all four upfront (e.g., "recommend a funny movie on Netflix, something light"), skip straight to Step 3.

"Surprise me" on genre or mood means pick freely — lean toward highly-rated or trending picks.

Step 3: Search for Recommendations

Always use web search to find current recommendations. Streaming catalogs change constantly — never rely solely on training data.

Build search queries combining the user's filters:

•Example: "best light comedy movies on Netflix 2026"
•Example: "top intense sci-fi TV shows on HBO Max 2026"

Search 2-3 queries to cross-reference availability and find quality picks. Prioritize:

•Currently available on the specified service (verify availability)
•Well-rated (IMDb 7.0+ or Rotten Tomatoes 75%+)
•Mix of well-known and lesser-known titles for variety
•Matches the stated mood/vibe, not just the genre

Step 4: Present as Rich Cards

Return 3-5 recommendations using this format for each:

code

### {emoji} Title (Year)
**Genre:** Genre1, Genre2 | **Rating:** Score (Source)
**Streaming on:** Service Name

Synopsis in 2-3 sentences. Spoiler-free. Written to sell the vibe, not just
summarize the plot. Make it compelling.

**Why you'll like it:** One sentence connecting this pick back to the user's
stated mood and preferences.

Formatting rules:

•Use 🎬 for movies, 📺 for TV shows
•Rating from IMDb (e.g., "8.2 IMDb") or Rotten Tomatoes (e.g., "94% RT") — whichever the search surfaces
•Synopsis: 2-3 sentences, spoiler-free, emphasize tone and vibe over plot details
•"Why you'll like it": Directly reference the user's mood or preferences — this is what makes it feel personal

Example Output

You asked for: An intense sci-fi TV show on Netflix

📺 3 Body Problem (2024)

Genre: Sci-Fi, Mystery | Rating: 7.7 IMDb Streaming on: Netflix

A mystery that spans decades and continents as a group of brilliant scientists confront the greatest threat in humanity's history. The stakes escalate relentlessly, blending real physics with jaw-dropping sci-fi concepts.

Why you'll like it: You wanted intense and gripping — this one doesn't let you breathe from the first episode.

📺 Silo (2023)

Genre: Sci-Fi, Drama | Rating: 8.0 IMDb Streaming on: Apple TV+

In a ruined and toxic future, thousands live in a giant underground silo. When the sheriff investigates what's outside, she uncovers shocking truths that could destroy the community.

Why you'll like it: Slow-burn intensity that builds and builds — perfect for that edge-of-your-seat craving.

Key Principles

•Always search the web — streaming catalogs change; never guess availability
•One question at a time — don't overwhelm with multiple questions
•Personalize the "why" — tie every recommendation back to what the user asked for
•Spoiler-free always — never reveal plot twists or endings
•Variety matters — mix popular and under-the-radar picks
•Verify availability — if unsure a title is on the stated service, say so
•One and done — present the picks and let the user take it from there; don't prompt for follow-up