dimaspanduOverview
Beyond the prompt wrapper.
The excitement around AI assistants often leads to products that are just thin wrappers around prompts. This article argues for deeper integration.
It reframes AI features as product capabilities that need context, reliability, and trust to actually deliver value.
The problem
Treating prompting as the entire product.
Many AI apps treat prompting as the entire product, ignoring context management, reliability, and user trust.
- Prompts alone don't carry the user's context, history, or intent across a session.
- Without error handling and clear expectations, users lose trust the moment the model drifts.
Approach
Break down what makes AI actually useful.
I broke down what makes an AI application actually useful: context awareness, error handling, and clear user expectations.
The article pairs each idea with the product behavior that demonstrates it, rather than abstract advice.
Solution
AI as a first-class product capability.
The solution is a framework for thinking about AI features as first-class product capabilities, not just API calls.
It gives teams a vocabulary for designing AI into the product instead of bolting it on at the end.
Implementation
Published on Medium with product examples.
The article was published on Medium with product examples and engineering considerations for building durable AI features.
Format
Medium article with product examples and tradeoffs.
Themes
Context management, reliability, and user trust.
Impact
Referenced in CETRA project design decisions.
Results
What came out of it.
The article was referenced in CETRA project design decisions when shaping its AI features.
Links