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Why We Built Onira

BC
Biel Carpi
5 min read

I want to tell you why I built this.

Not the polished version — the honest one. The version where I admit that I spent three months in late 2024 juggling eight different tools to produce a single 12-minute documentary about the history of the internet, and by the end of it I wanted to burn everything down and never make another video.

The output was good. The process was a disaster.

The Problem No One Talks About

Here is what producing a single YouTube documentary actually looked like for me at the time:

ToolPurposeTime Wasted
ChatGPTResearch and rough script draft2–3 hrs per video
ClaudeScript refinement1 hr per video
ElevenLabsAI voiceover (45 min to configure each time)45 min per video
RunwayAI-generated clips2–4 hrs per video
MidjourneyStatic stills1–2 hrs per video
Pexels / ArtgridStock footage gap-filling1–2 hrs per video
Epidemic SoundMusic licensing30 min per video
DaVinci ResolveEditing, color grading, assembly6+ hrs per video

Eight tools. Eight separate subscription tabs. Eight separate creative decisions happening in isolation. None of them talking to each other.

The editing alone — stitching together clips from three different AI models that had completely different color profiles, contrast levels, and grain characteristics — took six hours. Six hours of manual color correction that any cinematographer would do in twenty minutes because they shot everything on the same camera.

I calculated it afterward: 22 hours to produce a 12-minute documentary. That is not sustainable. That is a hobby, not a business.

The Vision That Became Onira

The thing I kept thinking was: this should be one step.

I should be able to say "make a 12-minute documentary about the history of the internet, authoritative tone, cinematic color treatment, ElevenLabs narration, original music" and receive a finished video. Not a rough cut. Not raw footage that I still have to assemble. A finished video.

That is what Onira is. One prompt, one finished video. The entire production pipeline — script, visuals, narration, music, color grading, assembly — handled automatically, in 15–30 minutes, for approximately the cost of a coffee.

But the vision was never just "automate the workflow." The vision was: make it good enough that you actually want to publish it. Cinema quality, not template quality.

Why Cinema Quality Matters More Than Ever

YouTube's AI content policy has changed everything. Since mid-2025, template-based AI content — the stuff that looks like it was assembled from a stock footage library with a voiceover slapped on top — is being systematically demonetized. YouTube's algorithm has gotten remarkably good at identifying it, and advertiser demand for that type of inventory has collapsed.

The channels that are growing in 2026 are the ones that look and sound professionally made. Not because viewers consciously notice the production quality, but because the algorithm does. Watch time, retention curves, and click-through rates are all higher for content that does not feel artificially assembled.

Template content is a race to the bottom. A thousand channels producing indistinguishable videos about the same topics at the same quality level is not a content strategy — it is noise. Cinema quality is the moat. It is the reason someone subscribes to your channel instead of the next one in the search results.

This is what we mean by "cinema quality" at Onira. We do not mean Hollywood. We mean: visually coherent, narratively structured, aurally rich, and distinctly yours. Content that does not announce "I was made by an AI" in its first five seconds.

The Technical Approach

Getting there required a specific architectural insight: different AI models are good at different things, and using any single model for every scene in a video is always going to produce inferior results.

Kling 3.0 handles complex motion beautifully but struggles with atmospheric, wide-shot environments. Hailuo 2.3 produces cinematic hero shots with extraordinary lighting depth but is not the right choice for action sequences. Veo excels at photorealistic documentary-style footage. Grok generates the highest-quality stills for montages and title cards.

Onira's core pipeline is a routing system. Gemini 2.5 Pro writes the script and, scene by scene, classifies the visual requirements. That classification determines which model gets called for each scene. A 12-minute documentary might route 80 scenes across four different AI models, each scene going to the model most likely to produce a result that looks like it belongs in the same video as everything else.

Then LUT-based color grading is applied uniformly across everything — the same technique used in film post-production — so that footage from four different AI models, with four different color profiles, comes out looking like it was shot on one camera by one cinematographer.

That is the technical core. It is not magic — it is orchestration. But the output is noticeably different from anything a single-model approach produces.

What We Are Building Toward

We are launching early access in the coming weeks. The first version handles the full production pipeline for 5–30 minute documentary-style videos. Faceless YouTube creators, science and history channels, educational content producers, and content agencies are the initial target users.

But what I am most excited about is the access question. Right now, producing a cinema-quality 30-minute documentary costs $10,000–$100,000 and takes weeks. That means most stories do not get told. The people who have interesting things to say do not have the resources to say them at a quality level anyone will watch.

Onira changes that equation. The educator with a deep knowledge of Byzantine history who could never afford a production team. The journalist with a story that does not fit a newspaper. The scientist who wants to explain their research to a general audience. These are the creators I am building for.

The barrier to cinema-quality video production has been high for too long. We are making it ~$26 and 30 minutes. Your story is worth telling.

If you want to be among the first to use Onira, join the waitlist. We are not promising a launch date — we are promising that when we ship, it will be worth the wait.

— Biel

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