---
title: "Turn a Typeform into an AI Intake Agent: Pt 2 — Breaking Down the Monolith"
url: https://daily.dev/posts/turn-a-typeform-into-an-ai-intake-agent-pt-2-breaking-down-the-monolith-fipnqcnxk
source_url: https://blog.promptlayer.com/turn-a-typeform-into-an-ai-intake-agent-pt-2-breaking-down-the-monolith
type: article
source: "PromptLayer Blog"
published: 2026-07-06T06:35:11.686Z
updated: 2026-07-06T06:35:31.876Z
tags: ["ai-agents", "prompt-engineering"]
reading_time: 4
upvotes: 0
comments: 0
language: en
---

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# Turn a Typeform into an AI Intake Agent: Pt 2 — Breaking Down the Monolith

**[PromptLayer Blog](https://daily.dev/sources/promptlayer)** · 4 min read · 0 upvotes · 0 comments

## Summary

Part 2 of a series on building an AI intake agent from a Typeform-style form. The post refactors a monolithic single-prompt approach into a multi-agent architecture using PromptLayer's Agents feature. Three specialized components replace the original master prompt: StudyNextStep (decides what to collect next), the Collector (handles natural conversation for one field at a time), and the Form Generator (structures collected data). Each component has a focused responsibility, improving reliability and maintainability while keeping the Streamlit frontend unchanged.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.promptlayer.com/turn-a-typeform-into-an-ai-intake-agent-pt-2-breaking-down-the-monolith>

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---

Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#prompt-engineering](https://daily.dev/tags/prompt-engineering)

[View this post on daily.dev](https://daily.dev/posts/turn-a-typeform-into-an-ai-intake-agent-pt-2-breaking-down-the-monolith-fipnqcnxk)