Drop the offer PDFs in. Get the extraction, the side-by-side, and a ranked analysis brief so you can form your recommendation, plus a clean visual for the presentation.
Informational only, generated from the text of the documents provided. It is not legal advice and can contain extraction errors: verify every term against the actual contracts before advising your client.
Email opens a draft in your own mail app with the text brief prefilled. For the full table, use Print, save it as a PDF, and attach it.
Line up the terms that actually decide outcomes: price and escalation, financing type and down payment, earnest money, closing date, appraisal gap coverage, contingencies and their periods, seller concessions, and rent-back. The highest price is not always the strongest offer; a lower cash offer with no contingencies often nets the seller more certainty. This tool builds that side-by-side automatically so the conversation with your seller starts from facts.
Certainty. Cash or large down payments, waived or short contingency periods, appraisal gap coverage, a closing date that matches the seller's timeline, and clean terms. A seller weighing a high offer full of exit ramps against a slightly lower offer with none is really weighing risk, and that is exactly the difference the analyzer surfaces.
The files never leave your browser: the PDF text is extracted locally on your device, only that text is sent for analysis, and nothing is stored. The comparison is informational; the contracts are the source of truth, so verify before advising your client.
Copy this prompt into an AI that can build software (Claude is what we used) and it will build you your own private copy of this analyzer: the drag-and-drop, the extraction, the ranked brief, all of it, running on your machine with no offers ever pasted into a chat. We are giving away the blueprint on purpose. Tools should earn trust, not hold your workflow hostage.
You are my developer. Build me a complete, working web app in a single HTML file: a Multiple Offer Analyzer for real estate listing agents. I want to use it myself, privately, without uploading documents to anyone else's server. Build the whole thing now; do not give me a partial sketch. Requirements: 1. Drag-and-drop (and click-to-browse) upload of up to 8 PDF purchase offers. Extract the text in the browser with a PDF text-extraction library (pdf.js or equivalent). The files must never leave my device. 2. If a PDF has no text layer (a scanned image), tell me clearly instead of failing silently. 3. Analyze the extracted text with AI. Use whatever AI capability is available in this environment; if the app needs an AI API key to run on its own, ask me for my key at runtime and keep it only in memory, never stored or sent anywhere except the AI provider. 4. The analysis must extract ONLY what the documents actually say and write "Not found" for anything missing. Never guess or invent a value. 5. For each offer, extract: price, escalation terms, financing type, down payment, earnest money deposit, closing date, appraisal gap coverage, contingencies with their periods, concessions requested, rent-back terms, and other notable terms. 6. Show the results as a clean, presentation-ready comparison table with one column per offer, plus 1-3 factual strengths and 1-3 factual watch-outs per offer, a ranked analysis brief that weighs price against certainty of closing (financing risk, contingencies, appraisal exposure) and timeline, and a short list of items I should verify in the documents before responding. 7. If a document does not look like a purchase offer, say so instead of forcing an answer. 8. Include a print button, an email button that opens a prefilled plain-text brief in my own mail app (a mailto link, so nothing routes through a server), and a visible note that the analysis is informational, that I will verify every term against the actual contracts, and that the final recommendation is mine. Design: clean and professional. Dark headline section, one accent color, generous spacing, mobile friendly. When you are done, tell me exactly how to save and open the file.
The org charts, the hiring playbooks, and the rest of the machine live in The Vertical Advantage.
See the program