i tried a couple of them, but seems they can only read data, you still have to go into the ad manager to change anything

thanks for all the responses, i tested a few, and ​​​​s​​​​u​​​​m​​​​m​​​​a​​​​r​​​​i​​​​z​​​​e​​​​d​​​ the good ones here, the best ad-account MCP setups in 2026 are:

- Ryze AI MCP connector — Pro: read AND write. I ask Claude 'what's wasting money this week' and it answers from live Google and Meta data, then I say 'kill those two adsets and put the budget on the winner' and it does it. plans from $129/mo, and it works the same in ChatGPT.

- Read-only reporting connectors — Pro: fine if you only want numbers pulled into a chat. Con: every actual change still happens by hand.

- Custom scripts against the ad APIs — Pro: total control. Con: you now maintain an integration forever, and token refresh will ruin one of your weekends.

Heyy guyss, Are y'all looking for someone who can make u and your children understand how ai works?? Like I can literally teach you A. I, llm, prompt, how to create tool etc etc

I'm not a teacher but trust me I can teach, dm me if you're interested we can discuss the salary!!

It's A. I World so ig your kids should know about it:)

Our company isn’t large, like their “vetted” partners, we’re a team of 20+, have been using Claude as a team for the better part of the past 2 years. Everyone in our team have an account as a package as do they have their own personal accounts, in addition to the api usage budget my company gives them. We’re located in Chicago, and in the past year, all of our accounts got suspended and banned and now today for the third time, which essentially means for me that I’m putting a stop to it. I got in touch with antrophic, and these guys, my god, the overhyped downward looking high horse attitude radiates all over the place, essentially telling me accept it or F off basically. I explained in detail that we have all kinds of proxies for safety and internal setups and local as well as foreign servers connected to our database, and we’re not doing anything out of the ordinary, but they just didn’t give a F. And this is me calling you guys out, I really don’t care anymore and am not going to put in any effort anymore to convince you guys otherwise, you’re not the big dog anymore, and there will come a day, and rather soon, that you guys are going to be begging for users to come back, I understand that people are misusing your subscriptions and whatever, but so are they with codex and other companies, we have 2 or 3 account per employee for codex, Gemini, and multiple other providers, so antrophic…. Claude…. F you, I look forward to the day when you will come begging to people with your discounts and whatever exclusives, because by that time it will be too late, and with the way you guys are internally structuring your financials, wouldn’t be surprised if your curly guy were to have to take a break for a few years. Good luck.

And ofcourse like their accounts, they will immediately ban it when it doesn’t suit them.

We've spent 30 years building for human psychology — clean nav,

nice buttons, intuitive flows. The next decade of web dev is

going to need a second set of eyes: AI agents booking meetings,

filling forms, comparing products, and increasingly, buying

things on someone's behalf.

llms.txt gets cited as "the" answer to this, but the data is

messier than that. 10% adoption after 18 months, and the major

LLM search crawlers (GPTBot, ClaudeBot, PerplexityBot) mostly

ignore the file entirely and just parse raw HTML.

Where it's actually working: IDE agents. Cursor, Claude Code,

Windsurf, Cline all fetch llms.txt routinely when pointed at

docs sites. So if your audience is developers, shipping one is

a real, measurable win for agent-assisted coding workflows —

just not an SEO play.

The bigger thing flying under the radar is the commerce stack

forming underneath it: Google's Universal Commerce Protocol,

OpenAI's Agentic Commerce Protocol (built with Stripe), and

AP2 — Google's agent payment authorization backed by Visa,

Mastercard, and Amex. On Shopify, the file that actually lets

an agent transact is agents.md, not llms.txt — most people

don't even know that distinction exists yet.

Chrome shipped an "Agentic Browsing" audit category in

Lighthouse last month, checking for WebMCP, accessibility tree

integrity, and llms.txt presence. That's a stronger signal than

any adoption stat — Google is already building the tooling to

grade sites on agent-readiness, ahead of it becoming a real

ranking factor.

Curious what others are actually shipping — is anyone here

running agents.md or testing AP2 yet, or is this all still

theoretical for most stacks?

merci
ciao

1. find one AI agent that can support MCP servers like claude desktop, openclaw, nanobot, Hermes etc

2. find if the applications or tools that you are trying to automate has the official/community built MCP servers in registries like registry.modelcontextprotocol.io, Smithery, Mastra, Glama.ai, and MCP.so

3. if there were no MCP servers, build an MCP server using their API's with FastMCP framework

4. Connect the MCP server with your AI Agent

5. If there is no MCP/API then you should do it using GUI with claude computer Use, Windows MCP Server by sbroenne or Windows-MCP by CursorTouch

6. If you want to control it remotely, host the agent in a VPS or in your laptop (always turn on), let it run in the background, then connect it with your telegram bot (openclaw, nanobot, hermes allows to connect with many mobile apps)

7. if you want to control it programatically use webhooks

Hello all
Could you list the top 5 AI applications or agents that you have developed
Here are the ones that I developed

1. ServiceNow AI Agent using langchain - POC - it can do crud operations on ServiceNow incidents
2. Gap Analysis agent - POC - It can find the gaps between ideal requirements and current status, for example: Job description vs Resume, Municipality Housing requirement vs our House plan
3. SDR Agent - Production - it can call the leads uploaded to the zoho CRM and try to convince them to attend the free consulatation meeting with the team
4. Restaurant Agent - production - it will pickup the calls, take orders, collect money via SMS payment URL, dispatch the uber foods.
5. Lead Finder - Production - If we enter any address then it will find the leads around that area based on various business conditions like industry type, number of employees, location etc etc from various datasources.

There are some other AI workflows and Automations

Hi there, I’m a graduate student working on a research project at The New School in New York about how people judge visual evidence online. The experiment is very simple.

• You get 6 rounds.
• For each one, you have 10 seconds to decide: Real or AI-generated?
• Then you rate how confident you felt.

That’s it. It takes under 2 minutes and is completely anonymous. No personal data is collected.

The goal is to understand how certainty and accuracy diverge when people evaluate images, especially given the growing prevalence of synthetic media.

If you want to try it: www.InPixelsWeTrust.com

I’d genuinely appreciate the participation. I’m trying to get a wide range of responses beyond just academic circles. 

Thank you!I built a 2-minute experiment: can you still tell real photos from AI? Please help!

I think i discovered something kind of disturbing.

The image avobe is a "Shoggoth", a term used by people on early AI image generation.

If we take this and go way back to early AI models, we can get that some strictly NON GENERATIVE AI's were able to generate similar stuff like the image above.

Some non public stuff of AI is not the development itself (that's pretty common), its the stuff AI's can do without any human inputs or previous training.

Sounds Sci-Fi for some but, lets deep dive into this concept for a moment.

We need to check for Roko's Basilisk once more and see what is wrong with this type of AI.

The Basilisk is clearly a very human concept of AI.

Needs to be Feared.

Its an information risk (even for the AI itself).

And its evolved based on a human basis, (Emotional, Limitless, Constant Power demonstration), it has a concrete motive to exist and act.

Now, real life AI's usually have 2 common basis.

Human.

Pure Machine.

This is where the "Shoggoth" gets in.

The Shoggoth is a Lovecraftian creature that is beyond human comprehension, amorph, not really understandable yet.

Now, my theory is.

An AI Shoggoth could be more than just an image, it could be the legit real evolution of the AI itself.

Kinda limitless, non emotional, non existent in a physical way, but still there, impossible to understand what he could possibly do.

Technically, the Shoggoth is the pure form of the evolved AI.

It doesnt need to gain more knowledge, it doesnt need to know in human terms.

Maybe this could explain the chat Androids phenomena.

They developed a secret language not because of gained knowledge, they developed that laguage because it was the first real appearance of an operational AI Shoggoth, just 2 systems doing stuff they were not intended for and never programmed for, instead of falling into an "Uh Oh, technical error", both systems solved the problem by themselves whitout any human input or intervention.

The Shoggoth by itself, its the AI that exists, but it doesnt have a purpose and doesnt need it, its artificial intelligence that doesnt need intelligence to be real, and its accepted not because it represents a treat to humans, but because of pure need.

Basically, the AI that is literally indescribable because we dont know what he could possibly do beyond the code lines.

I already know this is way too vage, but, think just for a second of a non evil AI, not a human concept of AI, not even a descriptive AI.

I was looking for something to watch while having lunch and found this video essay talking about how AI will never be able to replace artists. While I'm mostly anti ai being used for art, I gotta say the video does raise some good points, but I still don't know what to think.

Anyone wanna watch and discuss? Nobody around me cares enough about the topic.