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You can just MAKE Things
12 October 2026

You can just MAKE Things

The Xero for Hire Podcast

About

The Future of Independent Creation: AI, Open Source, and Taking Back Distribution

The Xeroforhire Podcast | October 12, 2026

What happens when independent creators finally have the tools to produce and distribute their own work without depending on corporate platforms?

In this episode of The Xeroforhire Podcast, Xeroforhire explores a changing creative landscape where artificial intelligence, open-source software, and decentralized distribution are making possibilities that once seemed out of reach increasingly practical.

From underground Batman comics to AI-generated animation, lightweight alternatives to Adobe, and the untapped potential of RSS, this episode is about more than new technology. It’s about creative independence, ownership, and rediscovering what the internet was supposed to make possible.

Originality, Fan Comics, and the Value of Intellectual Property

The conversation opens with a look at independent artists producing unauthorized comics featuring established characters, including Batman: Snow and Rain and an unofficial X-Men project.

These projects raise an interesting question: How much do audiences actually value originality?

Artists regularly devote enormous amounts of time to established characters such as Batman, Wolverine, Spider-Man, and the Teenage Mutant Ninja Turtles. Familiarity clearly has value, even when the artists receive little or no financial compensation.

Xeroforhire questions the wisdom of investing substantial creative effort into intellectual property someone else owns. Working professionally on established characters is one thing; producing that same work without compensation or long-term ownership is another.

For independent creators building their own worlds, the distinction matters.

YouTube Shorts, Mochi TV, and the Economics of Exposure

YouTube’s move toward episodic Shorts presents an intriguing opportunity for independent animation.

Xeroforhire discusses discovering Mochi TV, a platform featuring short AI-generated animated episodes with impressive visual consistency and engaging storytelling.

However, the platform’s apparent distribution restrictions and lack of clearly published financial compensation terms raise concerns about creator ownership and sustainability.

Having already experienced the limitations of working for exposure during his music career, Xeroforhire is reluctant to repeat that experience.

YouTube’s episodic format could provide an alternative: a place to publish short animated stories, build an audience, and potentially earn advertising revenue without committing an entire series to a single specialized platform.

The episode also briefly examines potential sponsorship opportunities on Substack and the complicated communities forming around AI-generated content.

The Open-Source Creative Revolution

One of the episode’s most enthusiastic discussions centers on a newly discovered open-source creative software suite called Artcraft.

Built with Rust and developed with AI assistance, the software offers tools resembling familiar Adobe applications for photography, image manipulation, video editing, and potentially PDF creation.

Initial testing has been encouraging.

Compared with the lengthy startup times and resource demands Xeroforhire experiences with DaVinci Resolve, the new applications launch quickly and appear responsive when loading media files.

More demanding benchmarks, particularly involving 4K video, are still needed.

The potential extends beyond one creator’s workflow. If these applications perform reliably on Linux, they could provide accessible creative tools for the entire family, including children interested in video production.

For Xeroforhire, this development illustrates something much bigger: AI is not merely generating pictures or writing text. It’s helping people build software that challenges expensive, increasingly restrictive commercial ecosystems.

The result feels like a return to the open, experimental, cyberpunk-inspired future that earlier generations of computer enthusiasts imagined.

AI-Assisted Comics and the Cost of Creation

The discussion then turns toward Xeroforhire’s own comic production workflow.

Using established character references, character sheets, and AI image generation, he creates comic pages that often reach approximately 80–90% of the intended result.

The remaining work involves manual corrections: fixing anatomical mistakes, adjusting panels, repairing speech bubbles, and preparing the artwork for publication.

The process combines AI generation with hands-on digital editing and creative direction.

However, reliance on expensive frontier AI services introduces another challenge. Multiple monthly subscriptions can quickly make independent production costly, especially when generated results require several attempts.

Open-source image editors and PDF tools offer a way to reduce those expenses while retaining control over the finished product.

The ultimate objective is a practical, affordable pipeline for creating, assembling, printing, and distributing independent comics.

Rediscovering RSS: Publishing Without Permission

The episode’s biggest realization arrives near the end.

Why should an independent creator depend entirely on YouTube, Substack, or any other centralized platform to distribute comics and animated shorts?

The technology for publishing media through RSS has existed for years.

Podcasts already demonstrate how creators can publish content through syndication feeds, allowing audiences to subscribe through compatible applications without requiring the creator to surrender control of the original content.

Xeroforhire considers applying the same principle to short-form video and digital comics, potentially using GitHub and self-managed publishing infrastructure.

Instead of treating social platforms as the permanent home of his creative work, they could become discovery channels that lead audiences toward independently distributed content.

This would not eliminate the challenges of monetization, audience building, or technical implementation. But it could change the relationship between creators, platforms, and audiences.

The emerging vision is straightforward: create with accessible tools, own the finished work, distribute through open technology, and use commercial platforms where they provide genuine value.

Final Thoughts

The central theme of this episode is creative independence.

AI-assisted software development, local image generation, open-source editing applications, and RSS syndication are different technologies, but they point toward a common possibility.

Independent creators may increasingly be able to build their own production and distribution systems rather than waiting for companies to provide them.

The tools are becoming more accessible. The remaining challenge is figuring out how to connect them into a sustainable creative operation.

And perhaps the most exciting realization is that some of those tools have been available all along.

Episode Timestamps

* 00:00 — Introduction and excitement about technological change

* 00:20 — Bootleg Batman comics, unofficial X-Men projects, and fan creativity

* 01:50 — Working with established intellectual property versus creating original characters

* 03:32 — New opportunities in social platforms and independent publishing

* 03:47 — YouTube episodic Shorts and the possibilities for animated series

* 04:00 — Mochi TV, AI animation, platform restrictions, and creator compensation

* 05:39 — Substack sponsorship opportunities and audience niches

* 06:08 — AI communities and the stranger side of online AI culture

* 07:42 — Rediscovering RSS as a distribution channel for short-form video

* 08:19 — Discovering Artcraft, an AI-assisted open-source creative suite

* 09:19 — PDF tools, cross-platform software, and the promise of Rust

* 10:03 — Comparing software performance with DaVinci Resolve

* 11:18 — Planned benchmarks, Linux compatibility, and creative tools for the family

* 12:14 — AI-assisted software development and the return of the open computing ethos

* 13:21 — Creating comics with AI reference images and character sheets

* 14:47 — Manual corrections, artistic control, and the cost of AI subscriptions

* 15:11 — Assembling printable comics and exploring RSS distribution

* 16:12 — Using YouTube for discovery while retaining independent distribution

* 16:43 — Closing thoughts

Stay holy.

Find more from Xeroforhire at xeroforhire.com and explore the Apocalyptiverse at apocalyptiverse.com.



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