aiqorx
Document review
Inspect supplied records and return structured findings.
AI & intelligent workflows / Claude integration
Useful document assistance with review.
Claude models can support document analysis, extraction, and language workflows within a controlled application.
Talk through your project
Technology in focusClaudeEvidence / Evaluation / Control
A connected engineering approach
- 01Experience
People, tasks, accessibility
- 02Application
Components, logic, integrations
- 03Foundation
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Built around
a real use case.
Assisted analysis
Connect a question to relevant source passages.
Drafting support
Prepare narratives for an accountable reviewer.
02 / Architecture
The decisions
behind the build.
A sound foundation
Bound inputs, validate structured responses, and keep source references connected to findings. Define handling for unavailable models and incomplete context.
The tradeoff to consider
Model confidence is not evidence. Important figures and conclusions should be checked against the source.
03 / Delivery & care
Make it work.
Keep it dependable.
Quality in the details
Evaluate representative inputs alongside ambiguous, adversarial, and unsupported requests. Track quality, latency, cost, and human corrections against a defined acceptance set.
Understand
Review the users, existing systems, constraints, and definition of success.
Shape
Document the architecture, interfaces, risks, and delivery scope.
Build & validate
Review working increments against real use cases and failure conditions.
Handover & evolve
Prepare operating guidance, ownership, and a practical maintenance plan.
Related work / Documented implementation
Cities Unveiled
An editorial travel platform that turns an expert-curated guide into a personal trip, connecting the itinerary, map, budget, packing, and memories in one place.
Explore the project04 / A few useful questions
Before you begin.
Is Claude the right choice for my project?
Model confidence is not evidence. Important figures and conclusions should be checked against the source.
Can we improve an existing application?
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
How are scope and cost determined?
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
What happens after launch?
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's buildwhat's next.
A new website. A better product. A bigger possibility.It starts with a conversation.