How we use Large language models in business applications.
A fluent answer is not the same as a supported fact. Retrieval can provide relevant sources, but the application still needs to show provenance and allow an uncertain result. Deterministic calculations and database constraints should remain in ordinary code.
Large language models can assist with text interpretation and generation. Business applications need grounding, evaluation, permissions, and user feedback to make those capabilities useful. The choice should serve the application’s constraints and the team that will maintain it. We discuss the surrounding design, data, hosting, and integration requirements before treating a technology as the answer.
What deserves attention.
Use real task examples to evaluate the model and the surrounding system. Record the selected model and configuration, consider latency and deployment constraints, and define a fallback. Changes to prompts, models, or retrieval sources can change behavior and deserve review.
Ownership and maintainability
The business should know who owns the source code, configuration, data, and operating accounts. Documentation identifies the version, dependencies, and deployment process, with private credentials kept out of public source files. A supportable implementation leaves room for the next developer to understand it.
Verification against real workflows
Test the behavior that matters to the application: input validation, permissions, ordinary results, error states, and the important handoffs between systems. The relevant checks depend on the technology’s responsibility. A database change needs data correctness checks; an interface change needs usable keyboard and mobile behavior.
Connect the technology to a useful outcome.
Full Blown works across the interface, backend, database, and integration layers. We can assess an existing implementation, build a new feature, or plan a staged modernization. The first conversation is about what the system needs to do and what makes that difficult today.
An informed decision includes costs beyond initial development: updates, hosting, monitoring, backup recovery, and the people who will maintain the result. We make those responsibilities explicit in the proposed scope so a technical choice does not become an unexpected operational burden.
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