# Multi-step AI processes

Published articles for Multi-step AI processes.

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## Ep. 7: Enhancing AI with Message Chaining and Accuracy Scoring

DevFeed: [Ep. 7: Enhancing AI with Message Chaining and Accuracy Scoring](<https://devfeed.tech/articles/ep-7-enhancing-ai-with-message-chaining-and-accuracy-scoring-22257.md>)

Original publisher: [Read original article](<https://www.ardanlabs.com/blog/2024/09/enhancing-ai-with-message-chaining-and-accuracy-scoring-ep7.html>)

Published: 2024-09-19T00:00:00Z

Content type: tutorial

Language: en

Sources: [William Kennedy](<https://devfeed.tech/sources/william-kennedy.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>), [context](<https://devfeed.tech/topics/context.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [advanced-ai-workflows](<https://devfeed.tech/tags/advanced-ai-workflows.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-accuracy-scoring](<https://devfeed.tech/tags/ai-accuracy-scoring.md>), [ai-chatbot-continuity](<https://devfeed.tech/tags/ai-chatbot-continuity.md>), [ai-context-management](<https://devfeed.tech/tags/ai-context-management.md>), [ai-conversation-tracking](<https://devfeed.tech/tags/ai-conversation-tracking.md>), [ai-decision-making-validation](<https://devfeed.tech/tags/ai-decision-making-validation.md>), [ai-driven-system-accuracy](<https://devfeed.tech/tags/ai-driven-system-accuracy.md>), [ai-for-healthcare-accuracy](<https://devfeed.tech/tags/ai-for-healthcare-accuracy.md>), [ai-legal-and-finance-accuracy](<https://devfeed.tech/tags/ai-legal-and-finance-accuracy.md>), [ai-message-chaining](<https://devfeed.tech/tags/ai-message-chaining.md>), [ai-model-chaining](<https://devfeed.tech/tags/ai-model-chaining.md>), [building-smarter-ai-systems](<https://devfeed.tech/tags/building-smarter-ai-systems.md>), [chatbots](<https://devfeed.tech/tags/chatbots.md>), [complex-ai-tasks](<https://devfeed.tech/tags/complex-ai-tasks.md>), [context](<https://devfeed.tech/tags/context.md>), [context-aware-ai-systems](<https://devfeed.tech/tags/context-aware-ai-systems.md>), [enhancing-ai-conversations](<https://devfeed.tech/tags/enhancing-ai-conversations.md>), [factuality-scoring-in-ai](<https://devfeed.tech/tags/factuality-scoring-in-ai.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [generative-ai-techniques](<https://devfeed.tech/tags/generative-ai-techniques.md>), [intro-to-generative-ai-series](<https://devfeed.tech/tags/intro-to-generative-ai-series.md>), [models](<https://devfeed.tech/tags/models.md>), [multi-faceted-ai-automation](<https://devfeed.tech/tags/multi-faceted-ai-automation.md>), [multi-step-ai-processes](<https://devfeed.tech/tags/multi-step-ai-processes.md>), [processes](<https://devfeed.tech/tags/processes.md>), [reliable-ai-outputs](<https://devfeed.tech/tags/reliable-ai-outputs.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

This episode explains how message chaining preserves conversation context, how factuality scoring checks AI responses against verified sources, and how chaining multiple models enables complex, multi-step workflows.

### Source excerpt

Introduction: Welcome to the final episode of our Intro to Generative AI series! In this episode, Daniel Whitenack takes the concepts you've been learning and shows you how to apply advanced techniques like message chaining and factuality scoring to make your AI-driven systems smarter and more reliable. This session will help you understand how to create workflows that combine multiple models, ensuring your AI can provide accurate, context-aware responses and make decisions grounded in real data.