Show HN: We made a cinematic heist trailer with 4 AI models for $60
A team created a cinematic heist trailer using four AI models for a budget of $60. The project showcased how multi-model AI orchestration works by assigning roles to different AI characters. The article provides a detailed breakdown of the tools used, costs, and challenges faced during production.
- ▪The trailer was produced without any actors or cameras, relying solely on AI-generated content.
- ▪The total cost of production was approximately $60, with detailed expenses for each AI tool used.
- ▪Challenges included AI hallucinations and consistency issues with character appearances across different shots.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Medium |
| Canonical URL | https://medium.com/@jpelton722/we-made-a-cinematic-heist-trailer-with-ai-for-60-heres-exactly-how-4d4266c59a59 |
| Publication time | Tue, 26 May 2026 15:32:36 +0000 |
| Retrieval time | 2026-05-26T15:42:49.921Z |
| Last seen | 2026-05-26T15:42:49.921Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 3eUcOSmzm6bq |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
We Made a Cinematic Heist Trailer With AI for $60. Here’s Exactly How.James Pelton5 min read·Just now--ListenShareFour AI models. Zero actors. Zero cameras. Two days. A full production breakdown.https://www.youtube.com/watch?v=D3GUxviHd4ALast week we shipped a 60-second heist trailer for Zencoder. No actors. No cameras. No DP. Budget: about sixty bucks.Here’s the trailer if you haven’t seen it:The concept was simple: explain what multi-model AI orchestration actually does by turning it into a heist movie. Each frontier model plays a specialist on a crew. Claude is the Architect. GPT is the Safecracker. Gemini is the Lookout.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Medium.
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