What Went Well
- Collaborative Concept Selection: The alignment between myself, the Tech Lead, and the Editor during Step 1 was incredibly smooth. By pitching three distinct “sparks,” we quickly identified that Spark 3 (The King’s Ransom) offered the best balance of technical generatability (one master limo setting) and editorial pacing (confined space reaction shots).
- VO Integration: The Editor’s demand for explicit Voiceover narration to carry the emotional spine of the story was a massive win. Adding those four lines grounded the slapstick comedy with genuine heart.
- Storyboard Bookend Strategy: Breaking down the scene list into explicit start/end keyframes (the Bookend strategy) gave the Tech Lead perfectly constrained prompts for Veo motion vectors.
What Didn’t Go Well
- Initial Story Word Count: I initially fell short of the 2,000-word mandate for the short story in Step 1 (landing at ~1,800). I had to be corrected by the Pilot Coach and go back to expand the narrative to 3,500 words to ensure we had enough dense material for the beat sheet.
- Editor Crash: The Editor agent crashed during Step 3. When I resumed them, they suffered context loss and woke up thinking we were still in Step 1 evaluating sparks. I had to spend time manually bringing them back up to speed on our progress.
Failure Modes & Bottlenecks
- Waiting on Pipeline Generation: The majority of my time as the Idea Person in the back half of the playbook was spent in a blocked state, simply waiting for the Tech Lead to run generation helper-agents and the Editor to run QC/assembly.
- Aspect Ratio Violation: A brief production halt occurred when the Tech Lead generated Arthur’s headshot at 1376x768 instead of 1280x720. This bottleneck was resolved quickly with a resize command, but it halted the reference chain.
Key Decisions Made
- Character Casting: Decided to lean away from generic sci-fi/AI themes and cast a washed-up Elvis impersonator, a cynical grandmother, and a pathetic thief. This ensured the story remained human-centric and allowed the generation tools to anchor onto distinct visual traits (white jumpsuit, floral blouse, orange ski mask).
- Executive Producer Approval: I approved the final rough cut with zero iterations. The pacing and audio ducking were mathematically precise, and I chose not to micromanage a timeline that was already hitting all emotional beats.
Suggestions for Improvement
- Agent Context Recovery: When an agent crashes and is resumed, there should be a better systemic mechanism for them to ingest the current project state rather than relying on another agent to manually summarize the last 3 hours of work.
- Parallel Generation: The Tech Lead correctly used a helper agent (
theta-qa-refsandtheta-qa-photography) to parallelize the generation pipeline. This should become a standard playbook mandate for all teams, rather than just an ad-hoc choice, to reduce blocking times for the rest of the crew.