Riley Brown's seven-use-case video makes a more interesting point than "AI makes more content." He looks at where an agent can remove unwanted software, screen clutter, inbox noise, filler in a video, or features a team never uses. The examples range from community TV hacks to Riley's own editing and internal-tool experiments. They are demonstrations, not evidence that every device, editor or business can get the same result.
Start with a frustration you can name precisely: a TV home screen full of promotions, an email inbox that hides the important message, or five disconnected tools for one project. Let AI propose the smallest reversible change, then judge whether it saves time without adding security risk, errors, maintenance work or API cost. The better workflow is the goal; the agent is only one way to reach it.
Watch Riley's Seven Examples
The chapter table links to all seven demonstrations. The video contains a paid Revolut Business segment; its offer and eligibility are separated from the editorial examples below.
1. Rework the TV Instead of Living With Its Home Screen
At 00:23, Riley highlights two posts about replacing ad-heavy TV interfaces. Gathin says Claude Code helped disable pre-installed Xiaomi packages and build a cleaner launcher for a parent's TV. Simba describes a separate Claude-assisted TV redesign and reports substantially lower RAM use and a faster interface. Those numbers are creator-reported results on their devices, not performance guarantees.
Gathin has since published CleanYourTV, including supported-device notes, model-specific package lists and restore instructions. Its core path is Android TV or Google TV; Samsung Tizen and LG webOS are different systems. Check your model and what each package does, back up first, and keep a way to restore the stock launcher. An agent's confident suggestion is not a substitute for device-specific documentation.
2. Adapt a Device to a Real Reading Workflow
At 03:21, Riley moves from TV software to Adrian's modified Kindle. Adrian says he connected the reader over USB, removed unwanted software and added Tailscale so saved articles could sync with his home setup. The interesting outcome is not the jailbreak by itself; it is making a dedicated reading device fit the way he collects articles.
Riley's casual suggestion that a USB cable and an agent can do this on "any" device goes beyond the evidence. Kindle methods depend on the exact model and firmware. Kindle Modding's compatibility wizard starts with those details and warns readers to review the procedure first. Only modify a device you control, understand the recovery path, and avoid giving a coding agent unrestricted access to accounts or private reading data.
Adrian's original post is the specific experiment shown, not a universal installation guide.
3. Direct Custom Animation, Not Generic B-Roll
At 07:19, Riley shows a Claude Code and Blender intro he made for his own channel, then reacts to Leon Lin's Clawd animation. Leon's post says the piece was made with Opus 5.5 Ultracode. Riley says the run took about 12 hours. That makes it a creative production experiment, not instant video generation from one short instruction.
The useful method is art direction: specify the subject, visual ambition, constraints, sound sources and what should not appear, then review frames, motion and audio. Riley's own Blender workflow guide shows his separate process for a reusable 3D set and preview rounds. The exact Clawd prompt supplied with this article appears in a copyable panel below.
Leon's original post supports the animation example. The full prompt below was provided by the reader and is not independently present in the short public post text returned by X's embed service.
4. Make the Agent Filter, Then Let You Decide
At 10:59, Nick Dobos's email workflow becomes Riley's example of an "information diet." Nick says an agent filters his inbox and alerts him to what matters; Riley extends the idea to targeted X research and Instagram monitoring. The promise is fewer trips into a feed designed to hold attention, not a magically perfect spam filter.
Start in read-only or draft-only mode: ask for a daily list of important messages with links and reasons, then compare it with your own inbox for missed invoices, people or deadlines. Do not let an agent archive, delete or reply until you understand false positives and its access scope. Social research should return source links so the human can judge relevance and credibility.
Nick's post describes his personal workflow. Its claimed inbox-cleanup rate is not independently measured here.
5. Ask an Agent to Complete the Job Across Apps
At 16:04, Riley argues that an agent can become the interface for parts of several apps: log a meal to a spreadsheet, search messages, or carry out a small action without opening a separate product. His point is about escaping repeated paywalls and feature clutter. It does not mean underlying apps disappear: the agent still depends on their data, APIs, permissions and reliability.
A good test is one low-risk task with a visible result and an easy fallback. For health or financial data, do not assume a photo-based estimate or agent-written record is accurate enough for consequential decisions. Compare the time saved with subscription fees, API charges and the work of correcting mistakes.
6. Remove the Parts of a Video That Waste Time
At 18:54, Riley describes giving an agent a video and transcript, then asking it to identify tangents, repeated points and sections that should be shortened or repaired. That is an editorial review before it becomes an automated edit. It can help an editor protect a viewer's time, but a model can also cut context, a necessary caveat or the speaker's voice.
Ask for timecoded suggestions with a reason for each change. Keep the original, compare before and after, and let a person approve the cut. Riley's video-analysis skill is a related resource for timestamped inspection; it does not by itself prove that every suggested edit improves retention.
7. Build Only the Internal Software You Actually Use
At 21:31, Riley tours "Native Note," his own workspace for video scripts, attached diagrams, sponsorships, topic ideas and editor feedback. He also shows a small desktop image tool for his thumbnail workflow. The value is the close fit to his process and the ability to change it quickly, not the claim that everyone can replace a mature SaaS product in one prompt.
For a team, start with the narrowest painful handoff. Define who owns the data, permissions, backup, exports and maintenance before moving important work into a bespoke app. If a simple off-the-shelf tool already solves it, building a replacement can create more clutter than it removes. Riley's Agent Native resources collect related workflows, but this particular internal system is his on-screen demonstration, not a released product for independent testing.
The Clawd Animation Prompt
The following prompt was supplied with the request for this article and attributed to Leon Lin's Clawd example. The X embed confirms the public animation and its stated Opus 5.5 Ultracode use; the full wording below was not independently recovered from the public X embed. Leon's reported run took roughly 12 hours. Check the licenses of any fetched assets and sounds before publishing a result.
One-minute Clawd animation
Creative direction, visual constraints and sound requirements from the supplied text.
Video Chapters
| Time | Topic |
|---|---|
| 00:00 | Intro: AI as a way to remove clutter |
| 00:23 | Vibecode your TV software |
| 03:21 | Adapt a device: the Kindle example |
| 07:19 | AI video creation and animation |
| 10:59 | An AI filter for email and feeds |
| 16:04 | Swap some app interactions for agents |
| 18:54 | Edit the unnecessary parts out of video |
| 21:31 | Build internal software around your workflow |
Sources, Credits and Sponsorship
Primary: Riley Brown's video and the supplied transcript. Original demonstrations: Gathin and Simba on TVs; Adrian on Kindle; Leon Lin on the Clawd animation; Nick Dobos on email. X supplied their public embed text; if its widget is blocked, each source has a direct link. Practical references: CleanYourTV, Kindle Modding and Agent Native guides. Sources checked 23 October 2026.
Sponsorship disclosure: Riley's video includes a paid Revolut Business segment. Its description advertises a $200 bonus for a new US business account opened through his referral link and funded with at least $0.01, with a stated 31 December 2026 expiry. The referral landing page blocked independent checking here, so verify its live amount, deadline and exclusions before acting. Revolut's US promotion terms restrict eligibility and require account checks; its US business terms say Revolut Technologies is not a bank and banking services are provided by Lead Bank, Member FDIC. This is disclosure of the video's sponsor, not an endorsement or an offer to readers outside the US.