/AI6h ago

Fable AI Agent Builds 760-Release Timeline For ThursdAI Site

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Alex Volkov@altryne#1245inAI

Holy fuck Fable is insane. I run a dynamic workflow asking for SEO/AEO improvements to the ThursdAI website.

It ran for 1.5 hours (burning through 85% of my 5 hour limit) and extracted 786 releases, created 240 new pages for the website and categoriezed over 50 episodes!

ThursdAI now has an index of ALL the companies we ever covered and their major releases! 🤯

4:43 PM · Jun 9, 2026 · 5.5K Views
Sentiment

Many users praise the Fable AI agent's creation of a 760-release timeline as real production leverage from autonomous agents, highlighting its low 4.2M token usage and lack of rate limits.

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Alex Volkov@altryne

Overall token usage wasn't CRAZY! And that's a good thing. 4.2M tokens is not very token hungry, it could have been much more.

6hViews 714Likes 2Bookmarks 1
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Alex Volkov@altryne

Fable helped me build an authoritative timeline for all AI releases since start of last year based on everything we covered on @thursdai_pod

It includes Companies, Models and even tags!

https://thursdai.news/releases

2hViews 573Likes 5Bookmarks 1
Steve Metcalf@BigBrother_Jane

@altryne That’s honestly insane. The fact you didn’t get rate limited even better. Effort level?

4hViews 50Likes 1
hMartin@hmartin

@altryne How did you verify that it had all of the companies? 🙃

6hViews 81
Chirag@ChiragCX

@altryne what was your prompt?

5hViews 57
Strata@ChainZenit

@altryne @thursdai_pod that timeline is seriously impressive, how long did it take?

2hViews 3
Alex Volkov@altryne

@hmartin It had enough lol

6hViews 69Likes 1
Alex Volkov@altryne

@ChiragCX It was a whole workflow prompt

5hViews 47Likes 1
Shinka - AI@ShinkaIoT

@altryne Fable's output for 1.5 hours of compute is exactly the kind of leverage I'm looking for from autonomous agents. ⚡️

6hViews 58
AI Mastery Guide@aiseomastery

@altryne This is what agentic SEO actually looks like in production, not a demo

4hViews 28
Alex Volkov@altryne

@BigBrother_Jane Ultra high

3hViews 21
MisterCarrillo@Mister_Carrillo

@altryne 786 releases extracted in one run is a wild proof point the context window holding over 1.5 hours is the part I keep coming back to. What did the output quality look like at hour 1 versus the end, any degradation?

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Alex Volkov@altryne

@ChainZenit @thursdai_pod 1.5 hours! Had to go through tons of episodes

2hViews 2