<!-- THINKING -->
## PHASE 1: UNDERSTAND

Let me parse this request carefully.

**Input:** Unstructured text about meetings and people
**Task:** Extract structured information into JSON format
**Constraints:** Must match the provided schema exactly, no markdown wrapping

**Schema analysis:**
- `people` array: Each person has name, role, email (optional), phone (optional), and mentioned_projects array
- `meetings` array: Each meeting has title, datetime_iso, and attendees array

**Key entities to extract:**
- People: Karen (CTO), Dan Pham (eng lead), Priya (product)
- Projects: Project Aurora, Q3 migration, Project Lumen
- Meetings: Tuesday 2:30pm PT, Friday 10am PST

**Key difficulty:** Converting relative dates to ISO format and mapping people to their projects

## PHASE 2: EXPLORE

I could approach this in two ways:

**Approach 1:** Extract all people first, then all meetings, then link them together
- Pros: Clean separation of concerns
- Cons: Might miss connections between people and meetings

**Approach 2:** Extract people and meetings simultaneously, building relationships as I go
- Pros: Better context for linking people to meetings
- Cons: More complex logic

I'll go with **Approach 2** because the text naturally groups people with their meetings, making it easier to capture the relationships.

## PHASE 3: EXECUTE

Let me extract the information systematically:

**People extraction:**
- Karen: CTO, karen@acme.io, mentioned in Project Aurora and Project Lumen
- Dan Pham: eng lead, dan@acme.io, 415-555-0198, mentioned in Project Aurora and Q3 migration
- Priya: product, priya.n@acme.io, mentioned in Project Aurora and Q3 migration

**Meetings extraction:**
- Meeting 1: "Sync on Project Aurora and Q3 migration" on Tuesday 2:30pm PT
- Meeting 2: "All-hands" on Friday 10am PST

**Date conversion:**
- Today is 2025-04-21
- Tuesday would be 2025-04-22
- Friday would be 2025-04-25

**ISO format conversion:**
- Tuesday 2:30pm PT = 2025-04-22T14:30:00-07:00
- Friday 10am PST = 2025-04-25T10:00:00-07:00

**Attendees mapping:**
- Meeting 1: Karen, Dan Pham, Priya
- Meeting 2: Dan Pham

Wait, I need to be careful here. The text says "separately" for the all-hands meeting, which suggests it's a different meeting. Let me re-read...

Actually, looking again, the all-hands is mentioned as "separately" which means it's a different meeting. So:
- Meeting 1: Karen, Dan Pham, Priya
- Meeting 2: Dan Pham (running it)

## PHASE 4: VERIFY

Let me verify this against the original text:

**People check:**
- Karen: CTO ✓, karen@acme.io ✓, projects: Aurora, Lumen ✓
- Dan Pham: eng lead ✓, dan@acme.io ✓, 415-555-0198 ✓, projects: Aurora, Q3 migration ✓
- Priya: product ✓, priya.n@acme.io ✓, projects: Aurora, Q3 migration ✓

**Meetings check:**
- Meeting 1: "Sync on Project Aurora and Q3 migration" ✓, 2025-04-22T14:30:00-07:00 ✓, attendees: Karen, Dan Pham, Priya ✓
- Meeting 2: "All-hands" ✓, 2025-04-25T10:00:00-07:00 ✓, attendees: Dan Pham ✓

**Schema compliance:**
- All people have name, role, email, phone (where provided), mentioned_projects ✓
- All meetings have title, datetime_iso, attendees ✓
- No extra fields ✓

The extraction looks correct and matches the schema.

<!-- ANSWER -->
{"people":[{"name":"Karen","role":"CTO","email":"karen@acme.io","phone":null,"mentioned_projects":["Project Aurora","Project Lumen"]},{"name":"Dan Pham","role":"eng lead","email":"dan@acme.io","phone":"415-555-0198","mentioned_projects":["Project Aurora","Q3 migration"]},{"name":"Priya","role":"product","email":"priya.n@acme.io","phone":null,"mentioned_projects":["Project Aurora","Q3 migration"]}],"meetings":[{"title":"Sync on Project Aurora and Q3 migration","datetime_iso":"2025-04-22T14:30:00-07:00","attendees":["Karen","Dan Pham","Priya"]},{"title":"All-hands","datetime_iso":"2025-04-25T10:00:00-07:00","attendees":["Dan Pham"]}]}