Fully AI-Generated British Sitcom: What Is No Big Deal?

A fully AI-generated British sitcom has arrived on YouTube, offering one of the clearest examples yet of how generative AI is moving from short clips and experiments into longer-form entertainment.

The programme is called No Big Deal. It was written by Andrew Dickinson and produced by UK AI production studio ModeLabs.ai. The comedy follows a group of investors at a fictional investment firm called Janus as they search for promising business ideas while struggling with problems of their own. RTÉ

Calling the programme “fully AI-generated” needs one important clarification, however. AI was used to generate the visual production, including its characters, environments and scenes, but the underlying creative process still involved humans. Dickinson wrote the script, and ModeLabs says substantial human planning and repeated revisions were required throughout production. LinkedIn

That distinction makes No Big Deal more interesting than the headline alone suggests.

What Is the Fully AI-Generated British Sitcom No Big Deal?

No Big Deal is a British workplace comedy centred on the fictional investment firm Janus.

The characters evaluate unusual business opportunities while their professional and personal lives become increasingly chaotic. The first episode includes investment pitches involving unconventional products, giving the programme a familiar workplace-sitcom structure despite its unusual production method. British Comedy Guide

Andrew Dickinson created and wrote the project. According to his account, his previous experience as an angel investor and investment manager influenced the stories. He says the storylines started with real incidents before being exaggerated for comedy. British Comedy Guide

The production side was handled by ModeLabs.ai, a UK studio working with AI-generated visual content.

The result is roughly the length of a conventional television comedy episode rather than a short AI demonstration. ModeLabs described the project as one of the world’s first fully AI-generated sitcoms. Because similar AI entertainment experiments have previously appeared online, claims that it is definitively the world’s first should be treated cautiously rather than as an independently established record. LinkedIn

Was No Big Deal Really Made Entirely With AI?

This is where the terminology becomes important.

ModeLabs says that every character, environment and scene was built using artificial intelligence, without conventional actors, cameras or a physical studio production. LinkedIn

But that does not mean a person typed one prompt and an AI system automatically produced a finished sitcom.

The script itself was written by Dickinson. He also composed the programme’s original music, which was performed and recorded with musician Andy Pike. British Comedy Guide

ModeLabs also describes a labour-intensive production workflow in which shots had to be planned and regenerated while maintaining characters, voices, locations and continuity.

According to Dickinson, the script went through more than 65 rewrites during production. RTÉ

So a more precise description would be:

A human-written British sitcom whose visual production was created extensively through generative AI rather than conventional filming.

That is less dramatic than “AI made a TV show by itself,” admittedly, but reality has an irritating habit of being more complicated than headlines.

How Was the AI Sitcom Produced?

Long-form AI video creates a different problem from producing a single impressive clip.

A short generative video only needs to remain convincing for a few seconds. A sitcom has to maintain the same people, clothing, voices, environments and visual identities across many scenes.

ModeLabs said its workflow involved generating material in short segments, with character consistency, continuity, voices and environments having to be maintained across the episode. LinkedIn

That means production still required several familiar filmmaking decisions.

Character consistency

An AI-generated character needs to remain recognisable when changing angle, location, expression or lighting.

Small inconsistencies that might be ignored in a five-second social-media clip become far more noticeable during a programme lasting more than 20 minutes.

Performance and dialogue

Comedy depends heavily on timing.

A line can be perfectly written and still fail if the delivery, facial expression, pause or reaction is wrong. AI video therefore has to do more than generate realistic-looking people. It has to simulate performances that audiences find believable.

Continuity

Objects, clothing, locations and characters need to remain consistent between shots.

Traditional productions employ people specifically to monitor continuity. Generative workflows have to solve similar problems through prompting, reference material, editing and repeated generation.

Editing and iteration

Dickinson has stressed that producing the pilot required planning individual performances, camera movements, line readings and visual details rather than simply asking an AI model to produce the episode automatically. RTÉ

That helps explain why the project required so many script revisions.

Why Does No Big Deal Matter for AI Video?

The most important part of No Big Deal may not be whether viewers actually enjoy the comedy.

Its production demonstrates how quickly generative video is expanding beyond isolated demonstrations.

AI video tools have already been widely used for advertising, concept work, short films, music videos and social content. A sitcom creates a tougher test because audiences must follow recurring characters and a continuous story for much longer.

No Big Deal therefore works as a practical demonstration of both the possibilities and current limitations of long-form AI production.

Smaller creators may attempt bigger projects

Traditional scripted television requires actors, locations, cameras, lighting, sound equipment, production teams and substantial coordination.

AI production can potentially reduce some of those requirements.

Dickinson said he originally considered conventional television production but concluded that it would be slow and prohibitively expensive. Working with ModeLabs provided another route for turning the script into a finished pilot. RTÉ

For independent creators, that possibility is significant.

Someone with a screenplay may eventually be able to create a visual proof of concept without financing a complete conventional production.

That does not mean the result will automatically be good. It simply lowers one part of the production barrier.

What Are the Current Weaknesses of AI-Generated Sitcoms?

The experiment has also attracted criticism.

A recent Gizmodo review criticised No Big Deal for problems with its dialogue delivery, character appearance and overall execution. Gizmodo

Other coverage reported a divided audience response, with some viewers interested in the experiment and others reacting negatively to the AI-generated presentation. UNILAD Tech

Those reactions highlight several problems generative video still needs to solve.

Human performance is difficult to reproduce

Actors do much more than recite lines.

Comedy can depend on an awkward glance, an interrupted sentence, body language or a deliberately mistimed response. Generating technically correct speech does not necessarily generate comic performance.

Visual consistency can break immersion

Even small changes in facial features or movement can make AI-generated characters feel unnatural.

The longer viewers spend watching a character, the more opportunities they have to notice those inconsistencies.

Cheap production does not guarantee good storytelling

Lowering the cost of creating footage does not remove the need for writing, editing and creative judgement.

In fact, easier production could make those qualities more important. If thousands of creators can generate television-style footage, audiences will have even more material competing for their attention.

Does This Mean AI Will Replace Actors and Film Crews?

No Big Deal demonstrates that certain forms of audiovisual production can now be attempted without a conventional filming setup.

It does not demonstrate that actors, directors or production crews have become unnecessary across film and television.

Traditional productions involve performance, cinematography, costume design, production design, lighting, sound, physical interaction and many other creative disciplines. AI systems can simulate elements of their output, but that is not the same as proving those disciplines have no value.

There are also wider unresolved questions involving training data, copyright, performer rights, disclosure and employment.

Those issues are likely to matter increasingly as AI-generated characters become harder to distinguish from filmed performers.

What Creators Can Learn From No Big Deal

For filmmakers, writers and content creators experimenting with generative video, the project provides several useful lessons.

First, start with the story rather than the technology. An impressive generation technique will not compensate for characters or scenes that fail to hold attention.

Second, expect iteration. The reported 65-plus script revisions suggest that AI production currently involves substantial trial and error rather than instant automation. Mozbot

Third, plan for consistency before producing dozens of scenes. Establishing clear character references, environments and visual rules can make long-form work easier to manage.

Fourth, treat AI as part of a production workflow rather than an automatic replacement for creative decisions.

And finally, be transparent about what humans and AI each contributed. Saying that a programme is “AI-generated” can hide a surprising amount of human writing, editing, prompting, reviewing and decision-making.

What Comes Next for AI-Generated Television?

The more interesting question is not whether every future sitcom will be AI-generated.

They almost certainly will not all follow the same production model.

A more plausible development is a spectrum of AI-assisted production.

One programme might use generative tools for storyboarding. Another could create background environments with AI while employing human actors. Independent creators might produce entire visual pilots synthetically before deciding whether to film them traditionally.

Others may adopt AI-generated characters from beginning to end.

No Big Deal shows that one end of that spectrum is already technically possible.

Whether audiences actually want more entertainment produced this way is a separate question, and arguably the more important one.

Conclusion

The fully AI-generated British sitcom No Big Deal is noteworthy because it pushes generative video into the demanding territory of long-form scripted entertainment.

Written by Andrew Dickinson and produced visually by ModeLabs.ai, the project replaces a conventional filming setup with AI-generated characters, environments and scenes. Yet its creation still required extensive human writing, planning, editing and revision. British Comedy Guide

That makes the programme less a story about AI independently making television and more a demonstration of a new production workflow.

The technology can increasingly generate the images.

The harder challenge remains turning those images into characters, performances and stories that people actually want to keep watching.

Sources Consulted

• ModeLabs.ai / official company statements: production process and description of the project. LinkedIn
• British Comedy Guide: programme details, creator statements, writing and production credits. British Comedy Guide
• RTÉ / Press Association, 14 September 2026: launch details and comments from Andrew Dickinson and ModeLabs. RTÉ
• Gizmodo, 16 September 2026: critical assessment of the finished pilot. Gizmodo

Editorial Transparency Note

Claims requiring final verification: The project’s description as the world’s “first” fully AI-generated sitcom should remain qualified as a claim by its makers rather than presented as an independently verified world record.

Expert review: Not required for this entertainment and AI-news article, although editorial fact-checking before publication is recommended.

AI/editorial disclosure: A general Aiera.blog AI-assistance disclosure may be appropriate if that is part of the site’s editorial policy. No claim of personally testing or reviewing the programme has been made.