/Tech21h ago

Fable AI Agent Builds 760-Release Timeline For ThursdAI Site

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Original post
Alex Volkov@altryne#1378inTech

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 · 11.7K 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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VIEWS1.1KBOOKMARKS1LIKES9RETWEETS2REPLIES6
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

17hViews 1.1KLikes 9Bookmarks 1
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.

21hViews 714Likes 2Bookmarks 1
Steve Metcalf@BigBrother_Jane

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

19hViews 50Likes 1
hMartin@hmartin

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

21hViews 81
Chirag@ChiragCX

@altryne what was your prompt?

20hViews 57
Strata@ChainZenit

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

17hViews 3
Alex Volkov@altryne

@hmartin It had enough lol

21hViews 69Likes 1
Alex Volkov@altryne

@ChiragCX It was a whole workflow prompt

20hViews 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. ⚡️

21hViews 58
AI Mastery Guide@aiseomastery

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

19hViews 28
Alex Volkov@altryne

@BigBrother_Jane Ultra high

18hViews 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?

18hViews 15
Alex Volkov@altryne

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

17hViews 2