AI & Agentic Systems

Generative AI Implementation Guide

MT

MindAgain Team

Editorial Team

2025-01-07
7 min read
Generative AI Implementation Guide
Generative AIProductEngineering

Generative AI products require equal focus on user experience, safety, and operational cost.

Start with a Real Problem

Map the workflow you want to transform and identify the exact point where generative responses add human-level value.

Architect for Control

Layer retrieval, prompting, scoring, and guardrails in modular services. This enables targeted improvements without rework.

Design Evaluation Loops

Collect structured feedback on accuracy, tone, and compliance. Use rubric-based scoring to prioritize prompt and data updates.

Optimize Cost and Latency

Cache frequent responses, batch offline jobs, and experiment with distilled models to keep unit economics healthy.

Key Takeaway

Ship quickly but responsibly. Iteration speed matters only when paired with measurable quality controls.

Related Topics

#Generative AI#Product#Engineering#LLM
MT

MindAgain Team

Editorial Team

A passionate writer and thought leader in the field of ai & agentic systems, dedicated to sharing insights and best practices with the community.

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