From a 40-Minute Client Call to a Working Interactive Prototype in Hours (5x Faster with AI Agents) Going from an initial client briefing to an approved wireframe usually takes 3 to 7 days of manual note-taking, layout debates, and generic copy. In this video, I walk through my exact 3-phase workflow to cut that timeline down to a single afternoon using raw call transcripts and custom AI agent Descript MCP Workflow Instead of scrubbing through the timeline manually, I used the Descript MCP with an AI agent to instantly generate accurate YouTube timestamps, description and video titles directly from the project context — killing post-production busywork in seconds. YouTube Video Link: https://youtu.be/lI3sCyUabHQ Descript Video: https://share.descript.com/view/7AlW3niOPfx Descript MCP Session Workflow: https://www.loom.com/share/848564eb31074c43b8f0d2068460e1be (I used Google Antigravity, which doesn't have a shared chat option)

the blue prototype card looks cool

AI-Powered Client Enquiry Automation

Project Overview:

I built an AI-powered client enquiry automation workflow using Zapier, Google Forms, Google Sheets, AI by Zapier, Gmail, and Google Calendar.

The goal was to automate the initial handling of client enquiries from receiving the enquiry to understanding the client's needs, sending an acknowledgement, and creating a follow-up task.

The Problem:

Managing client enquiries manually can be repetitive and time-consuming. Each new enquiry needs to be reviewed, categorized, summarized, responded to, and followed up.

Without a structured process, it's easy for enquiries to be delayed or follow-ups to be missed.

The Solution:

I designed a workflow that automates these repetitive administrative tasks while using AI to analyze the information provided by the client.

The automation follows this process:

Client submits enquiry ↓ Google Sheets captures the enquiry ↓ AI analyzes the enquiry ↓ Gmail sends an acknowledgement ↓ Google Calendar creates a follow-up

How It Works:

1. Enquiry Collection. The client submits their details and enquiry through a Google Form. The information is automatically recorded in Google Sheets.

2. AI Analysis. AI by Zapier reviews the enquiry and extracts key information such as the service category, priority, concise summary of the client's needs, and recommended next action.

This eliminates the need to manually review every enquiry just to determine what it is about and how it should be handled.

3. Automated Client Response. After the enquiry is processed, Gmail automatically sends the client an acknowledgement, ensuring they receive a timely response.

4. Follow-Up Management. The workflow creates a Google Calendar follow-up, helping ensure that the enquiry doesn't get lost after the initial response.

Result:

The completed workflow turns a manual enquiry process into a structured automated system:

Capture → Analyze → Respond → Follow Up

The key improvement is the use of AI as a decision-making layer, rather than simply moving information from one application to another.

This demonstrates how AI automation can reduce repetitive administrative work, improve response consistency, and help businesses stay organized with client enquiries.

Tools Used:

Zapier | AI by Zapier | Google Forms | Google Sheets | Gmail | Google Calendar

Skills Demonstrated:

AI Automation • Workflow Design • Administrative Automation • AI Prompting • Client Enquiry Management • Email Automation • Calendar Automation • Process Optimization

Really clean workflow, Ann. The Capture → Analyze → Respond → Follow Up structure makes the business value immediately clear. One useful next layer could be an exception route for urgent or low-confidence enquiries, so AI handles the routine cases while anything uncertain...