Internal tools and workflows
Applications that replace a spreadsheet, a chain of emails, or a manual review step with a structured flow: intake, processing, review, output. Built around how the work actually happens.
Custom applications
Custom web application development for workflows a website cannot handle
Internal tools, document-processing pipelines, and early-stage products, designed and built end to end by one person in Next.js, React, and TypeScript. VetCaseIQ, a veterinary case-review platform, is the working example.
What gets built
Three kinds of application, one method.
The common thread is a structured workflow with a person in control of the outcome.
Document and data processing
Multi-stage pipelines that extract, structure, check, and summarize information, with API integrations to external services and data sources. Designed so a person reviews the output, not so the system acts alone.
Products and SaaS foundations
Authentication, session handling, structured reports, document upload, and a deployable codebase in Next.js, React, and TypeScript. Enough to launch and iterate, without enterprise scaffolding you do not need yet.
The approach
Workflow first, then architecture, then working increments.
Application projects fail on unclear scope more often than on code. The sequence is built to settle scope early.
-
Define the workflow, not the feature list
Who uses it, what they bring in, what has to come out, and where a human has to make the call. Most scope problems are settled here.
-
Design the information architecture
How data is captured, structured, and presented. For processing work this includes how the pipeline is staged and how outputs are checked before a user sees them.
-
Build in short, testable increments
A working slice first, then the next. Type checking, linting, fixtures, and test cases run on every increment so regressions are caught early.
-
Deploy and iterate
A cloud deployment with a documented setup, then refinement based on real use. The first release is the start of the product, not the end of the project.
In practice
VetCaseIQ: from fragmented case files to a structured, reviewable report.
Conceived, designed, built, and operated by Ian Lehrer. Under active development and testing.
Veterinary cases arrive as a mix of history, exam notes, lab results, imaging reports, and referral documents. Summarizing that pile in one pass produces a confident paragraph with no way to check it. VetCaseIQ was built to do the opposite: turn the pile into structured information, work through it in stages, show its evidence, and retrieve real literature.
- Guided multi-step case intake for signalment, history, exam findings, labs, imaging, and uploaded documents
- Structured document processing that extracts and normalizes information from lab reports and medical records
- A multi-stage processing pipeline rather than a single pass: extract, identify findings, ask follow-up questions, review differentials, and generate a report
- Separation of supporting, conflicting, and missing findings so the user can see why a possibility is listed
- Literature retrieval through PubMed and Europe PMC to ground references in real sources
- Quality-assurance checks, structured test fixtures, and iterative testing against published and representative veterinary cases
- Built in Next.js, React, and TypeScript with API integrations, and deployed to the cloud
Honest expectations
What a founder-led studio is the right size for
- Webbify is a founder-led studio, not an enterprise engineering team. One person designs, builds, tests, and deploys. That is the right shape for focused tools and early products, and the wrong shape for a large platform with a dedicated team on the other side.
- Applications that handle sensitive information are designed with care, but Webbify does not certify compliance with any regulatory framework. Where a formal review is required, that is a separate engagement with the appropriate specialist.
- VetCaseIQ supports clinical reasoning; it does not replace a veterinarian or provide confirmed diagnoses. The same principle applies to every tool Webbify builds: the person stays responsible for the decision.
Founder-led
One person owns your project, from strategy to shipped code.
No account managers and no handoffs. Ian Lehrer founded Webbify Studio after a career in finance and operations. At Hewlett Packard Enterprise, Ian supported forecasting, reporting, and analysis for a global facilities budget of approximately $400 million across more than 250 sites.
Read about Ian →Where this fits
Application work connects to the case study, the founder, and the rest of the studio
Questions
What people ask before starting an application project.
When does a business need a custom web application instead of a website?
When the work involves capturing structured input, processing it, and producing an output that someone acts on. A website presents information; an application runs a workflow. If a spreadsheet, a shared inbox, or a manual review step is the real bottleneck, that is usually the sign.
What technologies do you build with?
Next.js, React, and TypeScript for the application layer, with API integrations with external services and data sources as needed, deployed to cloud hosting. The stack is chosen to fit the problem and to remain maintainable by someone other than Webbify later.
How big a project can a founder-led studio handle?
Focused tools, internal workflows, and early-stage products: the kind of application one experienced developer can design, build, test, and deploy end to end. If a project needs a team of engineers, Webbify says so at the scoping stage rather than overreaching.
Who owns the code?
You do. The repository, the accounts, the deployment, and the documentation are yours, and the codebase is written so another developer could pick it up.
Have a workflow that has outgrown spreadsheets and email?
Describe the process and who runs it. Webbify will tell you whether it needs an application, what the first working version would be, and what it would take to build.