Selected custom developments, integrations and platforms.
Explore AI, automation and web development projects with a clear focus on practical value, applications and technical direction, without exposing confidential processes or protected know-how.
SELECTED WORK
These examples show use cases, value and a selected technical scope. Internal implementation details remain confidential.
Custom connectors linking approved services such as Google Ads to structured Dify workflows and AI applications.
A local workflow for capturing receipts, extracting relevant invoice data and preparing reviewed documents for bookkeeping and archiving.
A central platform for bookings, availability and operational processes, connecting several systems through one interface.
A free browser editor for curved hero transitions with fixed Bézier geometry, content-aligned responsive behavior and HTML/CSS export.
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CUSTOM SYSTEMS
Off-the-shelf software and established platforms suit many tasks. Some requirements, however, are difficult to meet with fixed feature sets, licensing models or legacy systems.
In those situations, custom development can be a worthwhile option: modular, tailored to the actual workflow and designed for future changes. Modern development tools and AI-assisted processes can help reduce implementation and maintenance effort.
Whether custom software is more suitable or economical depends on scope, operations, security and support requirements. I assess each use case rather than claiming that custom systems are always the better option.
Features reflect specific processes and requirements.
New requirements can be added without rebuilding the entire system.
Depending on the project, recurring licence costs can be reduced and support planned as needed.
HAVE A PROJECT IN MIND?
Whether you need a Dify connector, an internal workflow, automation or a custom platform, I can assess which approach is right for your needs and whether custom development makes sense.
USE CASES
Connect existing services, exchange structured data and reduce manual work.
Standardize routines while keeping human approvals where they matter.
Build interfaces and features for workflows that standard software cannot support well.
Use AI to support real processes, with clear rules, data sources and integration into existing systems.