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Building practical AI workflow tools

About

Building practical, review-first AI workflow kits for creators and small operators. I focus on local tools, clear approval gates, and honest product boundaries.

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Maker History

Pixelora ChannelOpsA review-first YouTube operating system for AI
Aug 2026

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Joined Product HuntAugust 23rd, 2026

Forums

p/pixelora-channelops

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2mo ago

What part of your AI-assisted YouTube workflow do you rebuild most often?

I keep seeing the same failure mode in recurring creator work: the AI conversation produces useful output, but the source notes, approved prompt, revision decision, and next action are scattered when the next session starts.

I built ChannelOps around a simple boundary: AI prepares the next work packet; the creator still reviews, approves or rejects the exact revision, and separately authorizes anything public.

For people already using ChatGPT or Claude for a weekly YouTube workflow, which state is hardest to preserve between sessions sources, approved prompts, revision history, rights checks, or the next action?

I am the maker of Pixelora ChannelOps and am using this thread to learn where the workflow breaks in real use. No automation or performance claim is implied.

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2mo ago

Pixelora ChannelOps - A review-first YouTube operating system for AI

ChannelOps turns scattered YouTube planning, production, QA, approval, publishing prep, and measurement into one file-based workflow for ChatGPT or Claude. It includes 28 working files and a local Generate / Approve / Reject console. No API, subscription, account connection, autonomous upload, or performance guarantee.