From working prompts to maintainable agents: Treating AI like real software
By Sugandha Srikanteswaran, Head of Infrastructure and Platforms, The Hartford India
Software Engineers know the difference between code that works once and code that runs reliably. Demonstrating a proof of concept focusses on getting a functional or a capability ask in a proven action. A feature passes in development, behaves perfectly in a controlled test, and looks completely convincing in a review. Then it hits a real environment. Users engagement patterns, dependencies shift, and the system exposes invisible assumptions.
AI agents are hitting this exact reality right now. A demo works perfectly because the path is clear or defined, the prompt is carefully written, and the tools behave. ,Production brings out the unknown. Organisations must build systems that last.
What happens to Demo-Ready Agents over time?
Building an agent usually starts with one massive prompt. You stuff everything in there: the task, the tone, business rules, exceptions, and formatting. This...
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