Evolution of Agentic AI C/O Amazon Quick suite

Published: (December 3, 2025 at 07:07 AM EST)
2 min read
Source: Dev.to

Source: Dev.to

Overview

Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it’s Agentic AI. The lines blur because everything overlaps and shines depending on our use cases and requirements.

Generative AI vs. Agentic AI

  • Generative AI is reactive; it creates content, text, images, and code based on user prompts. It focuses on what to create when asked.
  • Agentic AI is proactive and autonomous. It takes initiative, sets goals, plans multi‑step workflows, makes decisions, adapts dynamically, and executes tasks with minimum supervision.
  • Generative AI powers content within these systems, but Agentic AI orchestrates entire processes to achieve goals efficiently, turning AI from a passive tool into an active partner driving outcomes.

Amazon QuickSuite Overview

QuickSuite is the newest addition to AWS’s agentic AI stack.

  • Quick – Build agent flows, create agentic AIs, conduct deep research, dive into your data, or even build a personal chat agent (your own GPT) fast, right at your fingertips.
  • Suite – A family of tools: Quick Flow, Quick Automate, Quick Agents, Quick Research, and more.

QuickSuite overview

QuickSuite is an agentic AI ecosystem delivered as a SaaS offering from AWS. Previously, building agentic AIs with Bedrock agents required managing model invocations, quotas, Lambda runtimes, observability, security, and more. QuickSuite removes that complexity.

QuickSuite architecture

QuickSuite Use Cases

  • Automated content generation for sales and marketing.
  • AWS assistant for weekly updates.
  • Resume analyzer.

Use case examples

QuickSuite Dashboard

Dashboard screenshot

Quick Flows

Quick Flows is a no‑code/low‑code automation feature that lets users create intelligent workflows using natural language prompts. It turns simple descriptions into fully functioning workflows, connecting data and actions across apps without coding.

Quick Flow editor
Flow example

Automated Content Generation for Sales and Marketing

With minimal prompting, you can create an agentic AI that handles multiple tasks. The editor mode lets you modify text fields, file upload fields, integrations, UI agents, etc.

Content generation UI
Workflow steps
Result preview

Final Flow Output

Final output

AWS Assistant for Weekly Updates

The assistant supports three search modes:

  1. General Knowledge – uses GenAI.
  2. Web Search – performs web browsing.
  3. QuickSuite Data – skims your enterprise data.

Search mode selector

Sample output after running the flow

Weekly update output

Resume Analyzer Agent

The Resume Analyzer lets users upload up to three files (PDF, DOCX, or TXT). It can:

  • Ask for the target role and experience level.
  • Provide recommendations, certifications, strengths, weaknesses.
  • Compare multiple resumes and generate a final summary.

(Implementation details omitted for brevity.)

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