How Users Evolve From Prompts to AI Workflows (Full Transcript)

Users move beyond basic prompts to explore agents, automation, collaboration, and structured files for more powerful AI-assisted work.

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[00:00:00] Speaker 1: One of the things that came out of that was could I could I like pre train it like you could do an agent? I could have an agent that would help me rewrite. Yes, so that so it started with proms But then it kind of grew as they started to explore what the prompts could do Then it sort of grew into thinking about what are some of the more advanced features I could leverage here Could I do schedule prompts or agents or skills? Should I be using co-work maybe right? About code or co-op co-work people on right or github Yeah, um, whatever. Yeah, should I be using markdown files? Should I be using pds? I mean the questions once they got to that past that initial Okay, i've typed in a prompt and it did a thing and that thing's pretty good And i've done a few refinements then they start to think bigger about like what other tools could I leverage here to make this even? Better and that was pretty cool to see

Summary

The speaker describes how users often begin with simple prompting and iterative refinements, then quickly expand their thinking to more advanced AI capabilities. They explore whether agents can be pre-trained to assist with tasks such as rewriting, and consider scheduled prompts, skills, collaborative tools, code repositories, Markdown files, and PDFs. The speaker finds it encouraging to see users move beyond one-off prompts toward building broader, more effective AI-enabled workflows.

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Title

From Prompts to AI-Powered Workflows

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Keywords

AI prompting Remove

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agents

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pre-training Remove

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rewriting

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scheduled prompts Remove

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skills

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collaboration Remove

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GitHub

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Markdown

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PDFs

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AI workflows Remove

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Key Takeaways

Users commonly start with simple prompts and refinements before seeking more capable AI workflows.
Agents may be useful for recurring work such as rewriting and content assistance.
Advanced options considered include scheduled prompts, skills, collaborative environments, code repositories, Markdown, and PDFs.
The shift from isolated prompting to tool-integrated workflows is viewed as a positive development.

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Sentiments

Positive: The tone is exploratory and enthusiastic, especially in the speaker’s appreciation of seeing people progress from basic prompts to more sophisticated AI workflows.

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