Movie Engine Analysis - Ronny Mariano

Engine History

Past reports and saved logs used to track library trends over time.

Recalling the Archive…

Analysis Lab

Build custom analytical queries by selecting filters and focus areas.

Secret Code

What to Analyze

Genre (Select Multiple)

→ If nothing selected: analyzes all genres

Tags (Select from Categories)

Click tags to select. Selected tags use AND logic (film must have all selected tags).

Plot Device / Structure

Archetypal Threat

Thematic Core

Visual / Stylistic

Social Commentary

Character Dynamics

World-Building

Narrative Pressure

→ If no tags selected: analyzes all films (tag discovery mode)
→ Selected tags are combined with other filters (genre, director, etc.)

Plot Device / Structure

Examples: “unreliable narrator”, “play within a play”, “body horror”, “twist endings”

Themes / Motifs

Examples: “isolation”, “obsessive relationships”, “apocalypse”, “artificial intelligence”

Symbolism / Visual Elements

Examples: “masks”, “water/drowning”, “eyes/vision”, “blood”, “staircases”

Director(s)

Comma-separated for multiple: “Argento, Bava, Fulci”

Actor(s)

Comma-separated for multiple

Anchor Film (Optional – compare others to this)

Find films similar to this one

Context / Relationship (Optional)

Help the AI understand relationships between your filters or specify your analytical angle

How to Analyze

Analysis Mode

How AI structures the analysis

Thesis-Driven Build a structured argument proving one central claim about your taste. All sections connect to defend a single thesis.

Relational Explore multiple interpretations without forcing a single conclusion. Sections can present contradictory insights if both are valid.

Exploratory Free-form discovery across the data. Sections don’t need to connect — follow unexpected patterns wherever they lead.

Diagnostic Treat your taste like a medical case study. Identify an anomaly, test hypotheses, arrive at a diagnosis with actionable prescriptions.

Analysis Type

Taste Profile Which metrics and patterns most strongly predict your high scores? Reverse-engineer what satisfaction looks like for you.

Tolerance Boundaries Find the breaking points where films lose you. What are dealbreakers vs. forgivable flaws?

High vs Low Compare your highest-rated films against disappointments. What separates a masterpiece from a letdown?

Pattern Breakers Find outliers that defy your usual rules. What made these exceptions work despite breaking your patterns?

Success Formula Reverse-engineer your perfect film. What combination of elements guarantees you’ll love it?

Taste Evolution Track how your preferences have shifted over time. What’s changed vs. what’s remained constant?

Viewing Mode Patterns Analyze how Viewing Mode assignments reveal your relationship with different films. What does your mode distribution reveal about how you actually use film?

Critical Voice Examine your writing patterns. What language signals high vs. low satisfaction? What themes dominate your notes?

Output Format

Executive Brief Ultra-concise 2-minute read. Lead with findings, skip setup. 2-3 sections max.

Conversational Walkthrough Explain findings like you’re talking to a friend over coffee. Natural, casual tone with acknowledgment of limitations.

Quick Bullets Top-line findings only. Brief sections with 3-5 short sentences each. No deep analysis.

Structured Report Balanced analytical report with 3-4 sections. Professional tone, examples included. The default option.

Deep Dive Comprehensive 5+ section analysis with extensive cross-metric comparisons and multiple examples per finding.

Predictive Scorecard Maximum actionability, minimal narrative. Lead with thresholds like “TARGET: Metric ≥X predicts 9.0+ scores.”

Data Story Tell findings as a narrative with emotional arc. Discovery → Meaning → Revelation. Uses metaphor and literary devices.

Comparative Analysis Explicit “X vs Y” framing throughout. Identify where patterns align vs. diverge across different dimensions.

Voice/Tone

Standard Analysis Analytical, insightful, sophisticated. Like a high-end consultant reporting to a studio head.

The Mechanic Cynical workshop lead focused on ROI and friction. Did the emotional toll justify the score? Informal and blunt.

Best Friend Your cinephile buddy being honest over drinks. Conversational, casual, pulls no punches. Uses natural speech patterns.

Thematic Sleuth Detective hunting subconscious patterns. Looks for psychological resonances and uses metaphor to interpret what you’re really responding to.

Clinical Auditor Pure objectivity. Math and resource management only. Reports statistical findings without emotional interpretation.

Generated Query Preview

Select your filters…

Deep Scans

Run a full check on movie patterns, cinematic DNA, and the genres you tend to skip.

1 Blueprint The repeat styles and visual patterns that define my taste.

2 Mood Logic How my mental state and energy levels drive what I watch.

3 Gaps & Blind Spots A report on the genres I ignore and the themes I’m skipping.

4 Log Tuning Reviewing my field notes to add more detail and depth.

5 Master Recipe Breaking down the exact traits shared by my 9.5+ masterpieces.

Fine art Photography

Movie Engine Analyses

Engine History

Analysis Lab

What to Analyze

How to Analyze

Deep Scans