⬡ Overview
↻ Why Frameworks
◈ Categories
⌖ Platform Canvas
⚑ Selection
◇ Knowledge Check
★ Results
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Hands-On Lab  ·  Module 4  ·  BAA 4.0

Agentic AI
Frameworks

Frameworks operationalize agent theory. Learn why they exist, how the four categories differ, and how to make a strategic selection — then build a Platform Comparison Canvas for the tools your team will actually use.

Learning Objectives
01
Explain what a framework provides and why teams use them instead of building from scratch.
02
Classify the four categories of agent frameworks and identify their strengths and limitations.
03
Compare GPTs Builder, Flowise, and Zapier AI across ease-of-use, best-for, and beginner-readiness.
04
Select the most suitable framework for a given scenario using a structured decision process.
Your Lab Roadmap
1
Why Frameworks Exist
Click each component to explore what frameworks provide vs. building from scratch
2
Framework Categories
4 types · expandable cards · use-case matching drag exercise
3
Platform Comparison Canvas
Drag attributes to GPTs Builder · Flowise · Zapier AI — then pick the beginner recommendation
4
Framework Selection
Match 6 real scenarios to the correct framework category
5
Knowledge Check
7 questions · frameworks, patterns, and selection logic · 70% to pass
—
Your Results
Score breakdown · key takeaways
Section 01

Why Frameworks Exist

Understanding agents conceptually is not enough. To build real systems, you need infrastructure. Click each component to see what a framework handles for you.

💡 Key principle: Frameworks reduce complexity so teams can focus on agent design, not plumbing. Choose the right layer of abstraction for your team's skill set.
🔄
Loop Orchestration
🔌
Tool Integration
💾
Memory Management
📍
State Tracking
🛡️
Error Handling
LOOP ORCHESTRATION — Manages the Perceive–Reason–Act cycle automatically. Instead of wiring the loop yourself, the framework handles iteration, step routing, and stopping conditions. This is often hundreds of lines of boilerplate code — the framework makes it invisible.
Build From Scratch vs. Framework
From Scratch
FlexibilityHigh
ComplexityVery High
Build SpeedLow
ControlFull
Framework-Based
FlexibilityMedium
ComplexityMedium
Build SpeedHigh
ControlPartial
Section 02

Framework Categories

Four types serve different architectural needs. Click each card to explore. There is no universal best — the right choice depends on your project constraints.

01
⚙️

Low-Level Orchestration

LangChain · LangGraph — modular, code-first.

Tap to expand ↓

Compose agents from interchangeable components with fine-grained control over every execution step. Developer-focused — requires coding skills. Supports chains, agents, graphs, and custom patterns. Best for: Complex architectures requiring maximum control and customization. Not beginner-friendly.
02
🤝

Multi-Agent Coordination

CrewAI · AutoGen — role-based agent teams.

Tap to expand ↓

Each agent has a specific role, persona, and expertise. Agents can delegate sub-tasks and collaborate toward shared goals. Best for: Complex problems requiring diverse specialist perspectives — like a researcher + writer + reviewer team. Emerging production readiness.
03
🤖

Autonomous Experiment

AutoGPT — recursive, high-autonomy.

Tap to expand ↓

Agent creates its own sub-tasks and executes them recursively with minimal human intervention. Hard to steer, predict, or constrain. Demonstrated what autonomous agents could do — and what could go wrong. Best for: Research and proof-of-concept only. Not production-ready.
04
🎛️

No-Code / Low-Code

GPTs Builder · Flowise · Zapier AI

Tap to expand ↓

Build simple agents in minutes — drag-and-drop UI, no engineering required. Business-user friendly. Limited architecture customization — you can't modify internal agent logic deeply. Best for: Quick prototypes, simple automations, and non-technical teams. Production-ready for straightforward use cases.
Category Comparison
CategoryFlexibilityComplexityMulti-AgentProd Ready
Low-Level OrchestrationHighHighOptionalYes
Multi-Agent CoordinationMediumMediumYesEmerging
Autonomous ExperimentLowLowLimitedNo
No-Code / Low-CodeLowLowLimitedYes
Use-Case Matcher

Drag each scenario to the framework category it fits best.

Unassigned scenarios
On mobile? Tap to assign
Section 03 · Lab Activity

Platform Comparison Canvas

Compare three no-code agent-building platforms. Drag each attribute into the correct platform column — then answer the beginner recommendation question.

🔍 The three platforms: GPTs Builder (OpenAI) · Flowise (open-source) · Zapier AI (workflow automation) — all no-code, but built for very different use cases.
Unassigned platform attributes — drag to the correct platform
On mobile? Tap to assign
Section 04

Framework Selection

Architecture follows constraints — not preferences. For each scenario, select the framework category that best fits. Tap a scenario header to reveal the rationale after answering.

⚠️ Common mistake: Choosing a framework before defining architecture. The tool should serve the design — not the other way around.
Section 05

Knowledge Check

Test your understanding. You need 70% or higher to mark this section complete.

Question 1 of 7Score: 0 / 0
Your Results

Lab Complete