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How to produce a television series with artificial intelligence: the Lecturas de la Biblia case.

The first television series produced 100% with AI in Mexico and Latin America. Editorial coverage in PRODU. A documented six-phase pipeline.

Scene of Adam and Eve in Eden generated entirely with AI for Lecturas de la Biblia — the first 100% AI-produced TV series in Mexico and Latin America
An AI-native frame from Lecturas de la Biblia — the first series produced 100% with artificial intelligence in Mexico and Latin America.

Key distinction

AI-assisted production vs. AI-native production.

Most of what gets called "AI TV" is really traditional production with a few generative assistants at the edges — B-roll here, a voiceover there. Lecturas de la Biblia is a different category: the pipeline is native, AI is a core component in every phase, and the human hand enters as direction and quality control, not as the producer of raw material.

Problem

Cost, time and visual consistency for a demanding thematic series.

Producing a broadcast-quality series with traditional budgets and timelines is only viable for a small group of organizations. For everyone else, the real conversation is: how do you make television that withstands editorial scrutiny when there's no studio budget?

Decision

A native pipeline, not an adapted one.

Design the workflow from scratch so every phase treats AI as a core tool — instead of trying to bolt AI onto a traditional workflow. That design choice is what makes the timeline and cost possible.

Architecture

A six-phase pipeline.

  • 01 · Script and structure — theological research, base script, episodic structure, editorial review.
  • 02 · Visual design — a visual bible (characters, settings, atmospheres), style tests, direction sign-off.
  • 03 · Generation — still imagery, character animation, environments; executed by generative AI with consistency controls.
  • 04 · Voice and music — narration, dubbing, score; voice synthesis with project-defined timbres.
  • 05 · Post-production — editing, color, mix, quality control — the phase where the human hand carries the most weight.
  • 06 · Distribution — packaging and delivery to broadcast and streaming channels.

Every phase has its own human checkpoint. No episode airs without editorial sign-off.

Result

A series on air, and a regional precedent.

The series aired and became a public reference for AI-native audiovisual production in the region. PRODU's editorial coverage documents the case from an industry perspective.

Lesson

The bottleneck isn't generation. It's direction.

A native pipeline generates material fast. What still costs — and what separates a good series from a demo — is direction: decisions on tone, pacing, coherence and thematic sensitivity. AI doesn't replace that layer. It enables it.

Governance

Sensitive content, with a signed institutional framework.

A project on religious texts demands explicit governance: cited sources, interfaith sensitivity, multi-level editorial review, and a clear policy on what AI can and cannot produce. That framework was signed before the first minute of production.

External evidence

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