Requirements and user stories rarely capture daily frustrations or informal workarounds.Many inefficiencies only become visible when watching users perform real tasks.Skipping this step often leads to solutions that look right but feel wrong.
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In single-org projects, small shortcuts often feel harmless and efficient.When the same solution must work across many orgs, those shortcuts quickly become liabilities.This transition forces a deeper level of architectural discipline.
Early-career professionals often see limits as frustrating restrictions.There is a tendency to bypass or work around them to meet short-term goals.Over time, this approach can lead to brittle and hard-to-scale systems.
Support agents often deal with varying products, warranties, SLAs, and entitlements.Hard-coded logic quickly becomes unmanageable as combinations increase.This slows resolution and increases agent dependency on tribal knowledge.
Salesforce business logic often changes as policies, SLAs, and products evolve.Maintaining these changes through Apex or Flow can become slow and deployment-heavy.Teams need a way to adapt decision logic without constant code updates.
Business rules often change more frequently than UI or database structure.Mixing them elsewhere makes updates risky and slow.A dedicated layer helps control complexity.
My language model produces fluent responses.Even when it does not know the answer, it sounds confident.Users sometimes trust incorrect replies.There is no indication of uncertainty.
