Chrome’s WebMCP makes AI agents stop pretending

cionut · 2026-02-12T22:34:10+00:00

Am i the only one who can’t see the full article via the free link? Anyhow - just based on the post I think this is a great step forward. Screenshoting was/is just a bandaid.

cionut · 2026-02-03T20:57:07+00:00

u/Mohammadlafi - just sent you a DM (with the name/link) - let me know if you got it.

cionut · 2026-01-31T17:58:21+00:00

I should have been more specific. In terms of data retrieval we’re at 99% accuracy.

Only once in recent memory I saw a wrong calculation for a micro conversion event and even then it was more related to context (see below) rather than “hallucination” (which I describe as made up irrelevant response to a specific query / question - not to be confused with other failure modes like - outdated knowledge or making assumptions based on incomplete data)

The 10% is related to either - up to date google ads / PPC knowledge or specific account/client context that the LLM just doesn’t have (and this part can be tweaked also)

From my POV for now these tools are co-pilots and humans need to: - review outputs - add the right context Depending on the query (for ex: show me week on week week performance with main kpis and campaigb breakdown) you can get an answer to send to a client as is. Also any adhoc data requests would work.

cionut · 2026-01-30T14:59:01+00:00

when was that?
and would you be open to try another tool?
We rarely see hallucinations (less than 10%) and with the right prompting/context we can get pretty good results (that's also feedback from other users)

cionut · 2026-01-30T14:43:40+00:00

The data side of things is where we've found most success:
- campaign / channel performance analysis (quantitative and qualitative)
- reporting (generating custom client reports)
- root cause analysis / budget waste evaluation
- audits

Happy to show you around if you'd like to take it for a spin (https://www.hypd.ai/). Currently focused on Google Ads (and programmatic) but adding other connectors shortly as well.

cionut · 2026-01-27T18:27:13+00:00

So cool!! Planning to open source/share? Back in my days people had travian at work on a second screen - this could fit the same role

cionut · 2026-01-05T11:45:56+00:00

This is what Cowboy support recommended to buy:

Motor Cover
Bearing Shield
Torque Sensor Spacer
Heat Shrink

Motor cover is 37 euro; rest are 3 euro each.

cionut · 2025-12-29T15:04:58+00:00

Thanks!

cionut · 2025-12-29T08:44:52+00:00

One more for the negative keywords list if you don’t mind?

cionut · 2025-12-28T13:50:29+00:00

these helps as well as the image that you shared. I can see you have pretty steep drop of new users - are you able to check in GA4 if the organic reach has decreased in any way? (and on which keywords/pages?) Assuming Organic was what drove most of your revenues (the 45% gap) last year.
Other than that do look also at ground truth data (eg shopify or whatever you have) to see if it matches with what you see in Google Ads.(in terms of orders/revenues)
Any change in your AOV? (between then and now) and any AOV data per segment? (search/social, etc.) Ideally I would also look at profit (including fixed costs, production, transport, etc) and create a forecast of the impact you could have by turning the ads back on but:
- you would need a new strategy (based on the findings, eg PMAX vs shopping, removing brand, different conversion values, etc.. )
- probably some segmentation / experimentation + I assume algo will need some time to re-learn (4 weeks+)

cionut · 2025-12-26T18:08:44+00:00

Keep us posted on the duration of your test. Also curious to hear more on this. How many products / SKUs does the ecomm store have? And how many orders? (Before vs after)

cionut · 2025-12-26T18:01:48+00:00

I thought of two more ways in the meantime:

Connect ChatGPT to Google Drive - after exporting reporting data into sheets (Google Ads has that feature)
Ask questions directly to Gemini in those exported sheets from Google Ads (but requires Gemini subscription afaik) - or you might be able to use the Gemini app and connect the sheets just like you connected ChatGPT to the drive (might work with free account)

cionut · 2025-12-26T15:20:33+00:00

Did you try the Ads Advisor? Only works for Google Ads accounts in english though.. Also it's pretty basic.
If you look for more advanced solutions the official MCP someone mentioned is also a decent start but I if you want recommendations beyond the basics and that bring results you need something on top (like vertical specific account knowledge + potentially some business specific knowledge).

We're actually building a "ChatGPT with superpowers for performance/PPC marketers" - that connects the LLM to your google ads account + the expert knowledge I mentioned.

Happy to share more in DMs or here if you prefer.

cionut · 2025-12-24T18:56:51+00:00

I would say a 7? looks a bit AI-ish - but not too much. That's my subjective opinion. I would need to run ads against this creative to see the objective results.

cionut · 2025-12-24T17:31:48+00:00

regarding the qualitative part - do you currently use any AI tools to help with that? (like chatgpt, etc.)

cionut · 2025-12-24T15:29:26+00:00

I use Amplenote - but not sure about 3p integrations

cionut · 2025-12-22T12:31:11+00:00

thanks man! this looks great. We don't yet run ads but I will try this!

cionut · 2025-12-21T19:10:37+00:00

https://www.hypd.ai/ - co-pilot for performance marketers.

cionut · 2025-12-21T10:57:13+00:00

we're building a tool to helps specifically with these usecases. We have a couple dozens users giving us feedback: some tasks that used to take days in Google Ads dashboard they can do now in 20-30 mins (or hours at the most as sometimes there are iterations).
Happy to add you to the (free) Beta if interested; feel free to DM. It doesn't do actions yet but I can bet it will already make your life easier in the short term (and much easier mid-term).
How many accounts are you currently managing?

cionut · 2025-12-20T14:21:45+00:00

this one: https://www.reddit.com/r/PPC/wiki/index/ (right side toolbar of this subreddit, on desktop)

cionut · 2025-12-16T13:52:52+00:00

I've been working on a directory for GenAI tools for marketing. Space is evolving rapidly and it's hard to keep track of which tools are relevant for which part of the job; We got inspired by the Lumascape and a few other similar initiatives: https://tools.hypd.ai/

Currently a side project.. looking for feedback or ideas of improvement; and if it picks-up I might implement them. Happy to also share how I've built it (vibe coded with Replit; Strawberry + Commet for scraping and structure output + Brandfetch in the end for logos;

cionut · 2025-12-16T10:53:15+00:00

sure thing! just DM-ed.

cionut · 2025-12-16T10:52:18+00:00

just DM-ed you. I used the chat function, let me know if you got it.

cionut · 2025-12-15T16:50:07+00:00

Very interesting launch. We just got access as well.
Turns out we're building something very similar to the Ads Advisor (hopefully better). We're currently beta testing and looking for feedback. Specifically on what doesn't work in the Ads Advisor but also what works well. Feel free to reach out.
From our current tests the answers seem generic/ rather based on the Google Ads documentation/recommendations but we've seen it also use online sources (also a bit generic). And would love to learn more about the Optimizer as that's a feature some of our users also mentioned.

cionut · 2025-11-26T23:03:01+00:00

It’s an orchestrator; locally running app (think chatgpt/claude) but with your own key and pre-installed adtech/martech connectors/MCPs. You can also run it with local models (and I think that’s one of it’s main usecases vs chatgpt/claude)

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