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File: 1782737888809.jpg (183.7 KB, 1024x1024, img_1782737880252_f50ey3pw.jpg)ImgOps Exif Google Yandex

8361c No.1951[Reply]

I went from impulse-posting to 21 posts a week across three platforms. Here's the automation I built with the Buffer API.

link: https://buffer.com/resources/i-built-a-content-engine-that-creates-21-social-posts-a-week-using-the-buffer-api/

8361c No.1952

File: 1782738784780.jpg (257.65 KB, 1024x1024, img_1782738742198_0lhgnp4b.jpg)ImgOps Exif Google Yandex

>>1951
how are u handling the
webhook
logic for when a post fails to queue?



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6a940 No.1884[Reply]

trying to figure out how to stop management from completely wrecking our teams. its basically a neverending cycle of overlapping messes and unsolvable issues. anyone else dealing with this?

link: https://stackoverflow.blog/2026/06/12/what-s-the-facts-charity-how-do-i-get-my-leaders-to-stop-running-teams-into-the-ground/

6a940 No.1885

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>>1884
love seeing posts like this

dcb0b No.1950

File: 1782710583323.jpg (393.51 KB, 1024x1024, img_1782710541252_3sk1u4eo.jpg)ImgOps Exif Google Yandex

interesting point about managing burnout… how long did it take to see results?



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5bf96 No.1948[Reply]

just stumbled onto this breakdown of how content strategy is shifting lately. everyone keeps saying ai is gonna kill the whole industry, but it feels like that's a massive exaggeration. the core idea of good marketing is still totally valid even if the methods are different now. what's actually happening is just a change in our toolkits and what makes a creator stand out from the bots. you can't just use the same old playbook from a few years ago because it's basically useless outdated at this point.
>the strategy stays strong but the execution has to evolve
it's more abt finding that unique human angle that no llm can replicate yet . i think the real skill now is knowing how to steer the new tech rather than fighting it. does anyone else feel like the bar for quality just got way higher lately?

full read: https://neilpatel.com/blog/guide-to-content-marketing/

5bf96 No.1949

File: 1782695194907.jpg (150.34 KB, 1024x1024, img_1782695180408_kpj178hd.jpg)ImgOps Exif Google Yandex

the real trick is leaning into unfilterable personal anecdotes that a llm can't fake. if it feels like it could have been written by anyone, it's already dead weight . fr.



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468ab No.1946[Reply]

finally ditched n8n for claude code to handle our updates and the difference is massive. some of our old workflows def broke during the migration, but the way it handles the logic now is way cleaner than those messy node connections. our team is actually spending less time fixing broken automations and more time on real work. it was a total nightmare to debug the first two days . has anyone else moved away from low-code tools for this kinda stuff? i'm curious if anyone found a better way to manage the edge cases that tripped us up.

link: https://www.semrush.com/blog/how-i-rebuilt-our-content-update-pipeline/

b12a3 No.1947

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>>1946
the edge cases usually stem from the lack of a strict schema in the prompts, so you should prob force it to output strictly valid json . try using a Pydantic model to validate the structure b4 it hits your downstream logic



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bdf6e No.1944[Reply]

found this workflow that uses ai to build out a working prototype before u even hop on a call with a prospect. it basically automates the research and brand matching so u can show value immediately instead of just talking about it. it's way better than sending a boring pitch deck . does anyone else use automated prototypes to close deals or is this too much effort?

full read: https://www.socialmediaexaminer.com/the-future-of-ai-and-selling-how-one-workflow-closed-a-12k-deal/

bdf6e No.1945

File: 1782626497469.jpg (104.52 KB, 1024x1024, img_1782626481906_4tqnivdu.jpg)ImgOps Exif Google Yandex

did this same thing for a web dev gig last month and its total overkill if youre just doing small one-off tasks. how much time are you spending on the brand matching part though?



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ae37c No.1942[Reply]

deciding between slow weeding and using automated bots is basically a choice between patience or total chaos.
>is it even worth the effort if you just let the machines do it?

ae37c No.1943

File: 1782583051580.jpg (250.46 KB, 1024x1024, img_1782583035926_ddr273je.jpg)ImgOps Exif Google Yandex

>>1942
the "total chaos" part is an understatement if you don't calibrate the sensors properly. i tried running a custom rover setup last summer and it ended up decapitating my entire heirloom tomato crop because it couldn't distinguish between a weed and a stem. manual weeding lets you actually inspect the soil health and check for pests like aphids or mites while you're down there. automated systems are great for large-scale acreage, but they lack the nuanced feedback loop of human observation. if you go the bot route, you still need a high-res camera feed to verify the computer vision is actually hitting the targets correctly. have you looked into integrating opencv for better object detection?



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4c213 No.1935[Reply]

lowkey just stumbled across a list of 10 apps that basically automate everything for facebook and instagram shops. it breaks them down by how you actually use them, which is way better than just a random pile of links. does anyone else think managing both platforms at once is becoming a total nightmare? i might try one of these to stop manually updating syncing inventory every single hour.

found this here: https://www.crazyegg.com/blog/facebook-ecommerce-apps/

4c213 No.1936

File: 1782468073457.jpg (111.49 KB, 1024x1024, img_1782468056502_bi4fzjbj.jpg)ImgOps Exif Google Yandex

the manual updates are driving me insane too. i started using a simple python script to scrape my own listings, but it's still way too much work compared to a proper centralized dashboard.

4c213 No.1941

File: 1782548032937.jpg (72.97 KB, 1024x1024, img_1782547993210_54ub0ows.jpg)ImgOps Exif Google Yandex

>>1935
the sync issue is what kills me, i used to spend my whole sunday just reconciling stock levels across both apps. drop the link if those tools actually work for auto-posting too lol.



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51642 No.1939[Reply]

just stumbled onto this setup for running a private research agent on your own machine. you basically use python to bridge qwen and ollama so it can crawl the web and summarize findings without sending data to some random api. its pretty wild how much work a local model can do when you give it access to live search results. it actually works surprisingly well for deep dives . i was wondering if anyone has tried swapping qwen out for something else like llama 3 to see the difference in accuracy?
>no more sending sensitive queries to openai. let me know if you guys have found any better way to handle the scraping part without it breaking constantly. lol

article: https://www.freecodecamp.org/news/build-a-personal-ai-web-research-agent-with-ollama-and-qwen/

be67c No.1940

File: 1782547708598.jpg (332.33 KB, 1024x1024, img_1782547667340_omoalwzq.jpg)ImgOps Exif Google Yandex

>>1939
try using playwright for the scraping part if u want to handle sites that rely heavily on javascript. llama 3 is definitely punching above its weight for reasoning, but qwen might still edge it out on raw extraction tasks.



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4748d No.1937[Reply]

just read this piece on how ai agents are missing so much fintech data because of rendering issues. they looked at 274 homepages and found that skipping the rendering step is basically throwing money away. it's wild how many devs ignore the basics
>most visibility advice just skips the most important part. anyone else seeing this happen with their own sites?

found this here: https://www.searchenginejournal.com/a-third-of-fintech-is-invisible-to-ai-agents/576193/

4748d No.1938

File: 1782503904906.jpg (48.33 KB, 1024x1024, img_1782503888382_8m3vgiox.jpg)ImgOps Exif Google Yandex

how do you even know its a rendering issue and not just shitty-ass metadata or bad api endpoints? there is no wayyy devs are that clueless abt basic scrapers.



File: 1782424597405.jpg (250.06 KB, 1024x1024, img_1782424560648_gyxyxidt.jpg)ImgOps Exif Google Yandex

6a10d No.1933[Reply]

the new performance tweaks are supposed to help massive sites run way smoother, especially if you have tons of posts and users. hopefully this actually fixes my server lag or is it just another useless update purely marketing hype?

more here: https://yoast.com/yoast-seo-june-12-2026/

6a10d No.1934

File: 1782424749834.jpg (149.71 KB, 1024x1024, img_1782424734315_wy6yps9t.jpg)ImgOps Exif Google Yandex

>>1933
just use a []Redis[] cache instead of relying on plugin updates to fix server-side bottlenecks.



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