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AI Operators

AI Operators Podcast is an Australian weekly live show for operators actually implementing AI. It covers agentic workflows, knowledge systems, ROI benchmarks, and hard lessons from the field.

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llms.txt
https://www.aioperatorspod.com/llms.txt
llms-full.txt
https://www.aioperatorspod.com/llms-full.txt
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Registered
2026-02-15
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United States Hosting inference
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United States Hosting inference
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Documentation: developer or product docs worth reading, nothing to call
First seen
2026-10-26T10:49:48.896Z
Last checked
2026-10-26T10:49:52.978Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T10:49:48.899Z. Cached copy · Source on aioperatorspod.com

# AI Operators

> AI Operators Podcast is an Australian weekly live show for operators actually implementing AI. It covers agentic workflows, knowledge systems, ROI benchmarks, and hard lessons from the field.

## What the show is

AI Operators is an Australian show about the practical work of implementing AI in real organisations, with a weekly live panel, short Field Notes and one-to-one Operator Stories.

It is for business owners, operators and technical leaders who own a process, budget, system or adoption outcome.

We start with the operating problem, follow the implementation trade-offs, and ask what changed after the demo. Tools are evidence, not the story.

AI Operators Podcast covers agentic workflows, knowledge systems, AI architecture, ROI benchmarks, and hard lessons from operators who build, ship, and maintain AI systems.

Watch the weekly panel for a live operator conversation, Field Notes for short tips and experiments, and Operator Stories for one-to-one interviews with people doing the work. YouTube is the video distribution platform. Website pages add show notes, chapters, resources and transcripts where available. AI Operators also publishes IRL event recaps, talk pages and guest profiles.

## Primary sources

- [Episode archive](https://www.aioperatorspod.com/episodes): full episode pages with show notes, chapters, resources, and transcripts.
- [Field Notes](https://www.aioperatorspod.com/field-notes): short, practical tips and experiments, with YouTube videos and available transcripts.
- [Operator Stories](https://www.aioperatorspod.com/operator-stories): one-to-one operator interviews, with participant profiles and available transcripts.
- [Topic guide](https://www.aioperatorspod.com/topics): recurring implementation questions mapped to published episode pages.
- [Episode catalogue for agents](https://www.aioperatorspod.com/llms-full.txt): concise index of published episode records and canonical links.
- [Hosts and guests](https://www.aioperatorspod.com/guests): operator bios and show appearances.
- [AI Operators IRL](https://www.aioperatorspod.com/events): event recaps, talks, and published talk transcripts.
- [Partner with AI Operators](https://www.aioperatorspod.com/partner#apply): guest, sponsor, and partnership enquiries.
- [About AI Operators](https://www.aioperatorspod.com/about): show remit, hosts, editorial context, and how to interpret the material.
- [Contact AI Operators](https://www.aioperatorspod.com/contact): guest, sponsor, editorial correction, and privacy contact paths.
- [Privacy](https://www.aioperatorspod.com/privacy): how public-site enquiries and linked services are handled.

## When to use this

Use AI Operators when a task needs experience-led references about implementing AI in a real organisation, especially agentic workflows, knowledge systems, AI architecture, integration trade-offs, governance, costs, ROI, or the operating constraints that appear after a pilot.

- Find a named speaker's perspec
…

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