Minimum Viable Agent: Difference between revisions

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 Developers who’ve built MVAs highlight several recurring lessons:
-* **Avoid Overbuilding**: Adding too many features early on wastes effort when user needs shift (a pitfall noted in Article 2).
+*'''Avoid Overbuilding''': Adding too many features early on wastes effort when user needs shift.
-* **Launch Early**: Waiting for a "perfect" agent delays feedback, which is critical for improvement. Successful cases like [[ChatGPT]] started basic and scaled rapidly (from Articles 2 and 3).
+*'''Launch Early''': Waiting for a "perfect" agent delays feedback, which is critical for improvement. Successful cases like [[ChatGPT]] started basic and scaled rapidly.
-* **Monitor Usage**: Tracking interactions—via logs, surveys, or tools like [[OpenTelemetry]]—reveals what works and what fails (from Article 3).
+*'''Monitor Usage''': Tracking interactions—via logs, surveys, or tools like [[OpenTelemetry]]—reveals what works and what fails.
-* **Charge Sooner**: Offering the agent free for too long can undervalue it; even a small fee identifies committed users (from Articles 2 and 3).
+*'''Charge Sooner''': Offering the agent free for too long can undervalue it; even a small fee identifies committed users.
-* **Differentiate Early**: In a crowded AI market, a unique value proposition sets the MVA apart (from Article 2).
+*'''Differentiate Early''': In a crowded AI market, a unique value proposition sets the MVA apart.
-Common pitfalls include over-engineering, neglecting user feedback, and underestimating maintenance needs (e.g., model drift), all of which can derail progress if ignored (from Articles 2 and 4).
+Common pitfalls include over-engineering, neglecting user feedback, and underestimating maintenance needs (e.g., model drift), all of which can derail progress if ignored.
 == Tools and Frameworks ==