Case Studies

Type an Address. See the Backyard You Could Have.

A pipeline of three AI models turns a street address into a photorealistic render of a pool in that exact backyard, for seventeen cents a run.

George Hawkins George Hawkins Founder & CEO, Agentify AI Aug 25, 2026 6 min read

Pool builders ask homeowners to sign one of the largest checks of their lives while looking at photos of other people's backyards. The one yard doing the convincing, the buyer's own, never appears in the pitch. Pool Visualizer fixes that with nothing but an address.

This is part six of our series on the AI work we have shipped this year. Every screen in the case study is the actual artifact trail from one real run in Rockwall, Texas; every stage of the pipeline saves its evidence, so every result can be audited end to end. The visualizer now runs as a private demonstration we walk live on calls.

The Work

The product is a six-stage pipeline: geocode the address, capture the satellite view, aim a camera computed from the lot analysis at Google's photorealistic 3D tiles, and then let three AI models argue about where the pool goes.

The full artifact trail is in the Pool Visualizer case study. The working product is private; we demo it live on a discovery call.

What We Built

1. The pipeline

Six stages from address to render, each one saving its output before the next begins. If a run is questioned, the evidence is already on disk.

2. Three models, one judgment

Claude reads the lot and writes the placement brief. The image model places the pool, and because image models wander, four edit attempts race for the same brief. Claude then judges the four and picks the winner with written reasoning.

3. The reveal

A before-and-after slider on the buyer's actual house, and an on-demand cinematic flyover generated for $1.45 when the buyer wants to fall in love with the finished vision.

What Worked

The architectural insight is the jury, not the oracle: never trust a single generation when you can make four attempts compete and let a judge with written reasoning pick.

$0.17

cost per full pipeline run, address to judged render

4

render attempts race for every placement brief

6

pipeline stages, each saving auditable evidence

The winning render is chosen with sentences like a well-proportioned freeform pool sits entirely within the target backyard and the house facade remains unaltered. The reasoning ships with the run.

What It Means for Home Improvement

Any six-figure home project stalls in the same place: the buyer's imagination. Showing the buyer their own property transformed collapses that gap in a way no portfolio can.

The unit economics are the industry story: seventeen cents per run means the render can be a lead magnet instead of a design deliverable, offered before the first sales call rather than after the deposit.

What this means for you: if your product is expensive because the buyer cannot picture it, AI rendering on their own property is the cheapest sales asset you can build.

Where the AI Does the Lifting

Three models with three jobs: Claude analyzes the lot and writes the brief, an image model executes it, and Claude returns as the judge with QA reasoning. Every stage's output is saved, so the pipeline is auditable in a way single-shot generation never is.

The portfolio pitch

  • - Other people's backyards do the selling
  • - The buyer imagines, and stalls
  • - Renders cost a designer's afternoon
  • - Evidence of quality: trust us

The address-to-render pitch

  • - The buyer's own yard, photorealistic
  • - The vision arrives before the deposit
  • - Seventeen cents per judged run
  • - Every stage saves its proof

What It Does for the Business

For a pool builder, this is a pipeline of pre-sold buyers: people who have already seen the finished yard and want the feeling to be real.

For Agentify AI, the visualizer is our reference for multi-model pipelines with judgment: the race-and-judge pattern now shows up wherever a single generation cannot be trusted with a customer-facing result.

Final Takeaway: Sell the Buyer Their Own Yard

Imagination is where big-ticket deals go to stall. The fix is not better brochures; it is putting the finished product on the buyer's own property before they are asked to commit.

And when AI does that work, make it show its reasoning. A judged render with written QA is an asset; a lucky one is a liability.

One address, seventeen cents, and the buyer is looking at their own backyard with the pool already in it.

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