A buyer's agent does not get paid to find listings. They get paid for judgment: which of these homes actually fits this client, at this budget, given what the client said they can and cannot live with. That judgment is buried in the documents - disclosure packets, inspection notes, HOA terms, school ratings - and it takes hours to read four listings closely, line them up against a client's brief, and defend a number.
Sharper turns the brief and the listings into a knowledge base you can question. Upload the client's requirements and the listing PDFs, then ask in plain English. Sharper reads every document, compares them, applies the client's hard requirements, reasons about the trade-offs, and produces a recommendation you can hand to the buyer - every answer grounded in the source listings.
What is client-fit property advice? It is question answering over a real-estate knowledge base: upload a buyer's requirements and a set of listings, then ask which homes fit, how they compare, what to offer, and why. Sharper answers from the uploaded documents and can assemble the results into a ranked buyer recommendation report.
Watch the full session replay. Every question and answer in this walkthrough, start to finish: open the shared replay. Want to try it yourself? Download the sample files - the client brief and all four listings - and ask the same questions in Sharper.
The setup: one brief, four homes
The Hendersons are buying in the South Bay. Their brief lists hard requirements - single-family detached, at least 4 bedrooms, 2+ baths, a 2-car garage, an elementary school rated 8/10 or better, a commute under 35 minutes, an HOA below $200/month, and a move-in-ready home - plus dealbreakers: no major foundation problem, no busy road, no flood zone. Their comfortable payment ceiling is about $7,200/month, with a budget preference around $1.15M.
Against that brief are four listings:
- 1423 Maple Ct, Santa Clara - $1,199,000, 4 bd / single-family
- 887 Birch Ave, Sunnyvale - $1,050,000, 4 bd / single-family, a fixer
- 2210 Cedar Ln #4, Cupertino - $1,145,000, 3 bd / townhouse, top-rated schools
- 556 Willow Dr, Santa Clara - $1,135,000, 4 bd / single-family
Step 1 - Upload the files to build the knowledge base
Everything starts with one action: the agent uploads all five documents - the client's requirements brief and the four listing PDFs - into a single knowledge base. Sharper parses and indexes each file, so every question in the rest of this walkthrough is answered against the same set of source documents. There is no manual reading or data entry first; you upload, and the knowledge base is ready to question.
One knowledge base holds the whole deal: the Hendersons' requirement brief alongside all four listings, indexed and ready to question.
Notice what is in that knowledge base. Not just listings, but the client's brief - budget, must-haves, dealbreakers, and risk tolerance. Uploading the brief with the listings is what lets Sharper move past raw facts and reason about fit in the steps that follow.
How Sharper works, in two moves. First, you build a knowledge base: upload your documents once and Sharper parses and indexes them into a reusable, searchable collection. Second, you ask: start a new task, select the knowledge base you want to work with, and ask any question in plain English. Sharper searches only the selected knowledge base and answers from it, so every response is grounded in those documents. Everything below is a single task run against this property knowledge base.
Step 2 - Pull the facts from a single listing
The basics of one home
The question: "What's the price, beds/baths, square footage, and HOA for the Willow Drive home?"
A clean pull from a single listing: $1,135,000, 4 bd / 2.5 ba, 1,980 sq ft, no HOA - plus context like the owned solar, 2004 build, and 15 days on market, grounded in the Willow listing.
The disclosures, read for you
The real risk in any listing hides in the disclosure and inspection section. Ask Sharper to summarize it and it reads the packet and reports back what matters - with the source listing open beside the answer.
The question: "Summarize the disclosures and inspection findings for 887 Birch Ave."
Foundation hairline cracks (engineer evaluation recommended), a roof near end of life, 1970s systems, and an estimated $75k-$135k+ of near-term work - each finding grounded in the highlighted source listing shown alongside.
Step 3 - Compare across listings
All four, side by side
The question: "Compare all four homes on price, bedrooms, home type, garage, elementary rating, and HOA."
One table across four listings: Cedar is the only attached townhouse and the only one with an HOA ($320/mo); Maple is priciest at $1.199M; Birch is cheapest at $1.05M reflecting its fixer condition.
The number the client actually feels
Price is not the same as affordability. Ask about the monthly payment and Sharper computes PITI for every home on the client's own pre-approval terms, then puts it against their budget ceiling.
The question: "Which home has the lowest and highest estimated monthly payment?"
Lowest is Birch at ~$6,499/mo, highest is Maple at ~$7,412/mo, with Cedar close behind at ~$7,365 largely because of its $320 HOA. Sharper ties each number back to the Hendersons' ~$7,200 comfort ceiling.
Step 4 - Match every home to the client's brief
This is where Sharper moves from retrieval to judgment. Ask it to check the listings against the client's actual requirements and it builds a scorecard.
The question: "Which homes meet all of the Hendersons' hard requirements?"
A requirement-by-requirement scorecard. Cedar fails three hard requirements - it is an attached townhouse, has only a 1-car garage, and its $320 HOA blows past the $200 cap - and Birch fails on move-in readiness and the unresolved foundation. Maple and Willow clear every hard requirement.
Two things stand out. First, top schools do not override the brief. Cedar has a perfect 10/10 elementary rating, the best of the four - and it is still ruled out, because it violates three hard requirements the client set. Sharper weighs the requirements the client actually stated, not the one metric that looks most impressive.
Second, the budget preference is the tiebreaker. Maple and Willow both clear every hard requirement, but Maple lists at $1,199,000 - about $49k over the Hendersons' preferred budget and above their monthly ceiling. That leaves Willow as the only home that fits the requirements and the budget.
Step 5 - Defend an offer
Picking a home is half the job; the other half is the number. Ask Sharper what to offer and it reads the comps and the client's terms before recommending a strategy.
The question: "For 556 Willow Dr, what offer would you recommend and why?"
A defensible offer, not a guess: open at $1,125,000 (~0.9% under list, below the comps average), settle at or just under the $1,135,000 list, and hold a hard ceiling of $1,140,000 - each tied to comparable sales and the home's 15 days on market.
Step 6 - The deliverable that closes the loop
Finally, the piece the client actually receives. Ask for a full recommendation and Sharper assembles everything - the facts, the comparison, the requirement matching, and the offer strategy - into one ranked report.
The request: "Generate a buyer recommendation report: rank all four homes against the Hendersons' requirements, flag any dealbreakers, and give a suggested offer strategy for each."
A ranked, client-ready report: #1 Willow - pursue (meets every requirement, within budget; offer ~$1,125k opening); #2 Maple - monitor (great fit but over budget, only with an aggressive bid); #3 Birch - decline (foundation dealbreaker plus renovation burden); #4 Cedar - decline (wrong property type and HOA, despite top schools) - with immediate next steps.
What makes Sharper different for this work
- Grounded in the actual listings. Every price, disclosure, and rating comes from the uploaded documents, and Sharper shows the source listing behind the answer.
- Reads the fine print. Disclosures, inspection notes, and HOA terms are summarized for you, not skimmed.
- Matches to the client's brief. Sharper grades each home against the requirements the client actually stated, and does not let one flashy metric override them.
- Reasons about trade-offs. It distinguishes a hard requirement from a preference, a confirmed dealbreaker from an unresolved risk, and an in-budget home from a stretch.
- Produces the deliverable. It assembles the analysis into a ranked buyer recommendation report with an offer strategy for each home.
The time saved
Reading four disclosure packets, building a comparison, pricing each home against a pre-approval, checking every listing against a client brief, and writing a recommendation is most of a workday. With Sharper it is a short conversation, and the output is a report you can send to the client the same afternoon - with the reasoning and sources attached, so the advice holds up when the client asks "why."
Try it yourself
Want to see the whole thing in motion? Watch the full session replay - the same four listings, the same client brief, and every question above, answered end to end.
Prefer to run it yourself? Download the sample files - the Hendersons' requirement brief and all four listing PDFs - then upload them to a new knowledge base in Sharper and ask the questions above.
FAQ
What documents does Sharper use for property advice?
Anything you can upload as a file: buyer requirement briefs, listing sheets, disclosure and inspection packets, HOA documents, and comparable-sales notes. Sharper builds one knowledge base from them and answers across all of it.
How does Sharper decide which home fits a client?
It reads the client's stated requirements and grades each listing against them, distinguishing hard requirements from preferences and confirmed dealbreakers from unresolved risks. It shows the reasoning so you can check it.
Will top-rated schools or the lowest price automatically win?
No. In this walkthrough the home with perfect 10/10 schools is ruled out because it violates three hard requirements, and the cheapest home is declined for its foundation risk. Sharper weighs the client's whole brief, not a single metric.
Can Sharper recommend an offer price?
Yes. It reads comparable sales, days on market, and the client's budget and pre-approval terms, then recommends an opening offer, a target, and a hard ceiling - with the reasoning behind each.
Can Sharper produce a report I can send to the client?
Yes. Ask for a buyer recommendation report and Sharper ranks the homes against the requirements, flags dealbreakers, and gives an offer strategy for each, saved as a document you can share.