Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it’s Agentic AI. Honestly, the lines blur because everything overlaps and shines depending on our use cases and requirements.
Before diving deeper, it’s also key to clarify the difference between Generative AI and Agentic AI.
Generative AI is reactive; it creates content—text, images, code—based on user prompts. It focuses on what to create when asked. 1.
In contrast, 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. 1.
Generative AI powers content within these systems, but Agentic AI orchestrates entire processes to achieve goals efficien…
Today, whatever is new quickly becomes old. We started with AI, then moved to Generative AI, and now it’s Agentic AI. Honestly, the lines blur because everything overlaps and shines depending on our use cases and requirements.
Before diving deeper, it’s also key to clarify the difference between Generative AI and Agentic AI.
Generative AI is reactive; it creates content—text, images, code—based on user prompts. It focuses on what to create when asked. 1.
In contrast, 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. 1.
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.
This post gives you a glimpse of the newest addition to AWS’s agentic AI stack—Amazon QuickSuite.
The name says it all:
- Quick — enabling you to build agent flows, create agentic AIs, conduct deep research, dive into your data, or even build your own personal chat agent like your own GPT—all really fast, right at your fingertips.
- Suite — because it’s a family of tools: Quick Flow, Quick Automate, Quick Agents, Quick Research, and more.
QuickSuite is an agentic AI ecosystem delivered as a SaaS offering from AWS. Before this, building agentic AIs with Bedrock agents meant you had to manage model invocations, quotas, Lambda runtimes, observability, security, and more. Now, all that complexity is gone.
My QuickSuite Use Cases
- Automated content generation for sales and marketing
- AWS assistant for Weekly Updates
- Resume analyzer with Quick Automate
Quick Suite Dashboard
Quick Flows
- It is a no-code/low-code automation feature that lets users create intelligent workflows using natural language prompts.
- It automates repetitive or routine tasks by turning simple descriptions into fully functioning workflows, connecting data and actions seamlessly across apps without coding
Automated content generation for sales and marketing
You can how fast i created an agentic ai which handles multiple tasks as below. with just bare minimum prompting thats all .
We can also edit it , by going into editor mode and also we can text fields, file upload fields , integrations , UI Agents ,etc.
- Final Flow Output:
AWS assistant for Weekly Updates
Mode of Searches are three types one is General Knowledge uses Gen AI , Web search does web browsing and last one is quicksuite data which is skimming through your enterprise data
- After running my flow here is the output
Resume Analyser Agent
Create me a resume analyser where Users uploades files which must be pdf,docx,txt which must 5 files at time.
please make sure i can upload 3 files at a time if needed add reasoning flow to that
user will enter information like for which role , experince ,
then provide me recommdations , certifications , weak strong , compare between other profiles resumes .
genreate final info
we can still improvise it very well enough and add other functionality too.
Quick Automations
- Creates multi-agent automations for business processes
- Automate end-to-end enterprise processes with ease. Build, test, and deploy sophisticated automations using natural language or documentation.
AI Footprint Analyst
simply created from the prompting
create be AI Foot print analyst AI which goes to UI agent Web browsing and checks information for and also it will checks latest cloud providers updates in the AI
- On the left side you can see we can drag a lot Action components like unzip folders , pdf text extraction , excel data extraction , UI Agent , Python code block , process flows , Data Tables ( We can perform CRUD) ,
Chat Agents
- Build personalized AI chat assistants capable of multiple integrated tasks.
Summary
Amazon QuickSuite is designed to cut through information overload and repetitive work, helping you rapidly build, deploy, and manage agentic AI workflows that deliver actionable insights and automation—all while ensuring security and governance. This marks a new frontier in how AI can work proactively as your teammate.