- 3 critical
- 5 medium
- 4 cosmetic
Spostrzegawczy turns one inspection visit into three AI-generated buying decisions.
This is not inspection software sold to third parties. Spostrzegawczy is a vertically integrated inspection business where Claude is embedded in the operating workflow, converting structured field input and defect photos into a technical report, a repair estimate, and a ready-to-send negotiation letter.
12 defects detected, PLN 18,400 in projected repair cost, and a buyer-ready negotiation recommendation generated from the same visit.
Suggested price reduction generated from defect severity and estimated remediation cost.
The buyer can reference moisture damage, missing electrical grounding, and a leaking plumbing connection as documented reasons to reopen pricing with the seller.
The moat is not a prettier PDF. It is the workflow that turns field expertise into repeatable financial outputs.
4 integrated automations
structured synthesis, defect classification, repair pricing, and negotiation drafting
technical findings become leverage
the client receives issues, cost impact, and a usable pricing argument in one package
operations and model learn together
inspectors, prompts, and output formats stay inside one proprietary service loop
A single inspection yields three documents the buyer can act on immediately.
All three outputs are generated from the same structured visit, which keeps the data model consistent and eliminates manual rewriting between inspection, estimation, and negotiation.
- defect descriptions
- repair priorities
- photo evidence
Standardized reporting independent of inspector style
The field inspector captures findings in structure, and Claude turns them into a consistent report that reads like it came from one experienced technical team.
- labor
- materials
- risk buffer
Defects translated into budget impact
Repair pricing makes the inspection financially legible by attaching plausible remediation cost to the issues found on site.
- price-reduction arguments
- selectable tone
- target negotiation value
The highest-value post-inspection artifact
The letter frames discovered issues as a professional price-reduction case, grounded in evidence and estimated repair cost.
Structured capture in the field, Claude-powered synthesis in the back office, decision-ready outputs for the buyer.
Inspectors capture findings inside a guided workflow
Instead of free-form notes, the inspection is structured by rooms, systems, and finish elements. That reduces omissions and creates cleaner input for downstream generation.
Claude processes observations and photos as one case file
Written findings and defect photos enter the same pipeline. The model helps classify issues, prioritize them, and describe their likely impact on the transaction.
The customer receives technical and financial outputs, not raw notes
The workflow does not end at diagnosis. It ends with a report, a repair estimate, and a negotiation letter that translate condition into an actionable buying decision.
Customers get clarity before signing. The company gets scalable quality and differentiated economics.
The same system that helps a buyer negotiate also helps Spostrzegawczy standardize output quality, compress turnaround time, and build a service moat that traditional inspection offices lack.
Lower uncertainty at the point of purchase
The technical condition is explained in plain language and the most important defects are ranked by budget impact and transaction risk.
A stronger basis for repricing the deal
The negotiation letter and repair estimate support the conversation with specifics instead of instinct, opinion, or post-viewing emotion.
Repeatable quality as volume grows
Standardized field input and document generation make it easier to maintain quality as the inspection team and output volume expand.
The technical stack is credible because it is paired with real inspection and renovation experience.
Spostrzegawczy is building a vertically integrated service with its own product, prompts, inspection process, and field experts. That blend of software and domain knowledge is difficult for a traditional inspection office to copy.
Krzysztof Przybylski
Construction engineer and lead inspector
12 years of practical residential construction experience. He owns the inspection methodology, defect taxonomy, and cost-estimation credibility behind the customer-facing outputs.
Wojciech Apanowicz
Product architect and Claude integration lead
13 years of engineering experience, battle-tested B2C founder. He designs the full system, from field data structure and prompt engineering to image analysis and document generation across the report, estimate, and negotiation letter.
The MVP is designed to prove one thesis: AI can make a home inspection materially more actionable than the market standard.
The product design is defined. The next milestone is a production MVP that connects field capture, vision analysis, and document generation in one fast inspection workflow.