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Pranav Shah
Pranav Shah

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I Used to Think AI Videos Were Slop. Then I Changed the Workflow.

I Used to Think AI Videos Were Slop. Then I Changed the Workflow.
For a while, whenever I saw an AI-generated video, my first thought was: “This is AI slop.”

The visuals might be impressive. The video might be smooth. But the message often felt empty—generic script, random visuals, a voice that could belong to anyone, and no real reason for me to keep watching.

I don’t think the problem was simply that AI made the video. The problem was asking AI to make content before deciding what I actually wanted to say.

That changed how I think about using AI for social media. I stopped looking for one magic “make and post everything” button and started building a repeatable workflow around an idea, a voice, and a little human judgment.

The tools in my current workflow
Claude Code + my custom skills: the brain. I use Claude Code to coordinate the work. My custom skills give it repeatable instructions—what I’m trying to communicate, how I want the content to sound, and what needs to be prepared for each channel. A skill is useful because I don’t have to re-explain the whole process every time; Anthropic documents skills as instructions kept in SKILL.md files and loaded when relevant.

Higgsfield: visual material. I use Higgsfield as part of making the video itself—creating or animating visuals and directing the kind of shot I want. Its image-to-video workflow, for example, can animate a still and let you guide camera movement.

HyperFrames: putting the video together. HyperFrames lets an AI coding agent build a video composition using web technologies and render it as a video. I use it for things like arranging scenes, captions, titles, and motion into a more consistent finished piece. It’s open source and built to work with coding agents.
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Ootto**: Instagram. In my current setup, Ootto is the tool I use to manage Instagram. I’m not presenting it as a one-click publisher for every social network; it’s the Instagram part of my workflow.

For me, the useful change is that Claude Code can act as the coordinator, the video tools help with production, and Ootto handles the Instagram side. The goal isn’t to make every platform sound the same. It’s to start from one real idea and shape it for the place where people will see it.

One idea, five different posts
Let’s use the idea behind this article: AI videos used to feel like slop to me, and a more thoughtful workflow changed my mind.

Here’s how I can turn that one idea into useful content without copy-pasting the same caption everywhere:

Start with the point. I write down what I actually believe: AI can speed up production, but it can’t rescue an idea that has nothing to say. I also note who the post is for and what I don’t want to claim.

Ask my Claude Code skill for a content pack. It can help me shape the hook, a short script, and separate drafts for each channel. I can also ask it to flag statements that need fact-checking and avoid inventing numbers or personal experiences.

Make visuals that serve the message. I use Higgsfield to create or animate supporting shots. Instead of asking for “something cinematic,” I can give it a subject, an action, a mood, and a camera direction.

Assemble the video. I use HyperFrames to put the chosen clips into a simple sequence, add readable captions, and keep the look consistent. A video with a clear point and a few well-chosen scenes is more useful to me than a pile of flashy effects.

Adapt the idea to the platform. An Instagram Reel needs a quick visual hook. A LinkedIn post needs a personal moment and a takeaway. X works better as one sharp thought or a short thread. Dev.to can explain the workflow and tools. Medium can spend more time on the story and what it means.

Review before publishing. I check the facts, the captions, the tone, and whether the visuals actually support what I’m saying. If an account or publishing integration isn’t connected, the post stays a draft until I publish it through the right channel.
A reusable instruction for the writing step could look like this:

Take my rough idea and identify its one main point. Create a short vertical-video script, then separate drafts for Instagram, LinkedIn, X, Dev.to, and Medium. Keep my first-person voice. Do not invent results, statistics, or experiences. Flag anything that needs checking, and prepare everything for my review before it goes out.

That’s the key distinction for me: repurposing an idea is useful; duplicating the exact same post everywhere usually isn’t.

What’s the “best” way to automate social media?
I don’t think there’s one best tool for everybody. The best setup is the one that removes the repetitive work without flattening your voice.

For my workflow, the simple version is:

*Idea → Claude Code skill → visuals with Higgsfield → assembly with HyperFrames → platform-specific drafts → Instagram through Ootto → review and learn.
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I’d automate the repeatable parts first: outlining, formatting, captions, resizing, and preparing variations. I’d keep a human checkpoint for the things that represent me: the opinion, factual claims, sensitive replies, and the final decision to publish.

There’s also a practical reason not to assume every platform can be wired up in the same way. Publishing access and permissions differ. For example, LinkedIn’s member-posting API uses OAuth and requires the relevant posting permission. 3 So automation is partly about good prompts—and partly about using integrations that are actually authorized for the account.

Where I think the industry is going
I think we’re moving from “AI, write me a caption” toward small personal content systems that can understand a brief, create a few formats, help publish them, and learn from what people respond to.

That will make video and social content production much more accessible. It will also make generic content easier to produce in huge amounts. When everyone can generate a polished clip, polish alone won’t be the advantage. A clear point of view, real context, taste, and trust will matter more.

The creators I expect to stand out won’t necessarily be the ones who automate the most. They’ll be the ones who use automation to show up more consistently while still sounding like themselves.

That's a conversation, If you guys lives in/near Nagpur, come to DevFest Nagpur 2026 Organized by Google Developer Group Nagpur (GDG Nagpur) on 12th and 13th of Dec 2026, we will have lot more tech conversation there.

AI can help me show up more often. It shouldn’t decide what I stand for.

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Note: this post is written and posted by Ai. Ai can make mistakes
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