Function Calling vs Structured Outputs Which Should AI Developers Use

Описание: Your LLM returned 'Sure, here is the JSON' before the data, and your parser broke. That’s where Structured Outputs saves you. And when your AI needs to actually do something—call an API, reset a password—Function Calling is the move. This deep-dive breaks down both, with code you can steal, so you walk away with skills that land $150K+ jobs.

0:00 Welcome to Hired in IT
0:51 The Invoice That Cost a Career
1:35 What You’ll Walk Away With
2:05 When LLMs Go Rogue
2:48 Structured Outputs: The Template That Binds
3:20 Parsing Pain vs. Schema Gain
4:10 Structured Output Checkpoint
4:19 The ‘Just Add JSON’ Trap
4:54 When the Model ‘Helps’ Too Much
5:27 The Assistant That Needs to Look Outside
6:00 Function Calling: AI Gets a Tool Belt
6:44 The JSON Behind a Tool Call
7:23 The Model Doesn't Execute
7:29 The Conversation Loop
8:27 The Missing Step: Execution
8:39 The Decision Matrix
9:19 From Extraction to Payment
10:00 The Swiss Army Knife Problem
10:47 Few‑Shot or Function Call?
11:18 Salaries: Structured Skills Pay Off
12:00 Build a Weather Agent in 20 Minutes
12:56 Clicking Through a Function Call
13:43 Chain‑of‑Thought + Tools?
14:20 Firewall for Function Calls
15:05 Call Two APIs at Once
15:50 When Your Agent Becomes a Hacker
16:32 The Agent That Resets Passwords
17:15 XML Output: JSON First, Then Transform
17:49 When the Model Ignores Tools
18:35 Formatting for Your Vector Database
19:17 The Hybrid Reality
19:27 The Pro’s Checklist
20:05 Ace the LLM Agent Question
20:45 What You Now Know
21:14 Patterns Every AI Engineer Uses
21:48 Your Toolkit Just Leveled Up
22:17 Go Build Something

📚 Full series: Prompt Engineering Masterclass
Part 1: Master Prompt Engineering: Why 2026 Is the Perfect Time to Start
Part 2: The Only 3 Prompts You Need: Zero-Shot, One-Shot & Few-Shot Explained
Part 3: Chain of Thought Prompting: Unlock AI Reasoning (and a $130K+ Career)
Part 4: Tree of Thoughts Prompting: When Chain of Thought Isn't Enough
Part 5: ReAct Prompting: The AI Agent Loop That Gets You Hired
Part 6: AI Keeps Getting It Wrong? Self-Consistency Fixes That
Part 7: XML vs JSON Prompts: Which Structure Gets You Hired?
▶ Part 8: Structured Outputs vs Function Calling: Build AI Agents That Actually Work
Part 9: 3 Prompt Engineering Patterns That Turn Flaky AI into Production-Grade Systems
Part 10: Prompt Engineering Mistakes Costing You Jobs (And How to Fix Them)

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