Uploaded August 2026 | Updated September 2026, 3 weeks ago
Carlos Sanchez types a request for a coffee machine he can use while camping, and the page assembles itself in under two seconds. Not a search result. A page, with camping appropriate machines, rewritten copy and a set of tips, generated for that one query. Adobe calls the goal an audience of one, which is the thing marketers have wanted for decades and could never afford. The site he demonstrates is a fully generated example, and the same tool will build one for any URL you hand it in about an hour. He did it to the AI Engineer site last week, and it produced a side by side comparison of two conferences on the fly.
What keeps this from being a hallucination machine is how little it actually generates. Brand guidelines are strict, so the whole site becomes a corpus and retrieval grounds everything produced from it. Only certain blocks change, the hero, the product list, the navigation, the calls to action. Model choice is treated as a per site question rather than a global one, evaluated continuously across providers for accuracy and, unusually, for speed, because a page that takes six seconds has already lost. On their example the fastest configuration averaged 1.1 seconds against 4.6 for the runner up. His point is that this does not need a frontier model, since the work is choosing and arranging blocks.
Speaker info:
- https://x.com/csanchez
- linkedin.com/in/carlossg
- csanchez.org
Timestamps:
0:00 - What an agentic site is trying to do
2:20 - Personalizing blocks, not whole pages
3:26 - Grounding generation in the site itself
4:37 - The architecture behind the blocks
5:46 - Evaluating models per site, for speed as well as accuracy
6:58 - 1.1 seconds against 4.6
8:07 - Why this does not need a frontier model
9:16 - Pre generating a page before it is asked for
10:23 - Letting marketers define the personas
12:44 - Audience of one
13:53 - Live demo: signals, buckets and a For You page
15:09 - Asking for a camping coffee machine
16:20 - Swapping models on the fly
17:29 - Turning any URL into an agentic site
18:42 - Where this goes next
Carlos Sanchez types a request for a coffee machine he can use while camping, and the page assembles itself in under two seconds. Not a search result. A page, with camping appropriate machines, rewritten copy and a set of tips, generated for that one query. Adobe calls the goal an audience of one, which is the thing marketers have wanted for decades and could never afford. The site he demonstrates is a fully generated example, and the same tool will build one for any URL you hand it in about an hour. He did it to the AI Engineer site last week, and it produced a side by side comparison of two conferences on the fly.
What keeps this from being a hallucination machine is how little it actually generates. Brand guidelines are strict, so the whole site becomes a corpus and retrieval grounds everything produced from it. Only certain blocks change, the hero, the product list, the navigation, the calls to action. Model choice is treated as a per site question rather than a global one, evaluated continuously across providers for accuracy and, unusually, for speed, because a page that takes six seconds has already lost. On their example the fastest configuration averaged 1.1 seconds against 4.6 for the runner up. His point is that this does not need a frontier model, since the work is choosing and arranging blocks.
Speaker info:
- https://x.com/csanchez
- linkedin.com/in/carlossg
- csanchez.org
Timestamps:
0:00 - What an agentic site is trying to do
2:20 - Personalizing blocks, not whole pages
3:26 - Grounding generation in the site itself
4:37 - The architecture behind the blocks
5:46 - Evaluating models per site, for speed as well as accuracy
6:58 - 1.1 seconds against 4.6
8:07 - Why this does not need a frontier model
9:16 - Pre generating a page before it is asked for
10:23 - Letting marketers define the personas
12:44 - Audience of one
13:53 - Live demo: signals, buckets and a For You page
15:09 - Asking for a camping coffee machine
16:20 - Swapping models on the fly
17:29 - Turning any URL into an agentic site
18:42 - Where this goes next
![[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)](https://i.ytimg.com/vi/jxrGodnopHo/mqdefault.jpg "[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)
[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)")
