Real estate photography disclosure checker

For property marketing teams, turn owned originals and edited images into agent-reviewed image disclosure notes. Address this specific problem: edited photos lack clear disclosure of alterations. The aim: transparent presentation of visual alterations. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies owned originals and edited images, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final agent-reviewed image disclosure notes before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: compare documented edits; flag omitted disclosures; draft accurate captions. Use only owned originals and edited images and preserve uncertainty in agent-reviewed image disclosure notes. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Verify property facts and scope assumptions. Clearly label visual alterations. Professional reviewers retain responsibility for contracts, engineering and legal interpretations. One organization, one defined input format and one representative pilot batch using owned originals and edited images. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using owned originals and edited images. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: compare documented edits; flag omitted disclosures. Support the third task through an assisted review queue: draft accurate captions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of agent-reviewed image disclosure notes. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Property records, construction documents, project photos and supplier quotes. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. Begin with uploads and exports of owned originals and edited images. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. Open with brief and sources; move into real estate photography disclosure checker for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.