🚀 AI for everyone

Agenda for today:
1

LLMs & Agents

Understanding the fundamentals

🧠
2

Daily use cases for us

Practical applications in our work

💼
3

How to write "prompts"

The RISEN framework

✨
4

Case study - LinkedIn AI agent

End-to-end automation workflow

🤖
5

Implementation & next steps

Getting started with AI

🚀
Slide 1

🧠 Understanding LLMs and AI Agents

Large Language Models (LLMs)

A neural network trained on trillions of words that predicts the best next tokens, letting it write, reason & summarise like a human researcher.

AI Agents

"A smart intern who can open tabs, fill forms and email people—then report back."

Key Differences:

LLMs: Answer questions, generate content, analyze text

Agents: Complete multi-step tasks, use external tools, make decisions, execute workflows

For Executive Search: LLMs help with writing and analysis, while Agents can automate entire recruitment workflows from candidate sourcing to interview scheduling.
Slide 2

💼 Daily AI Use Cases for Executive Search

📝 Content Creation

• Job descriptions and requirements
• Client outreach emails
• Candidate communications
• Interview questions
• Market research reports

🔍 Research & Analysis

• Company background research
• Industry trend analysis
• Compensation benchmarking
• Candidate profile evaluation
• Competitive landscape mapping

🎯 Candidate Sourcing

• Boolean search optimization
• Resume screening and ranking
• Skills gap analysis
• Cultural fit assessment
• Reference check preparation

⚡ Process Automation

• Calendar scheduling
• Follow-up reminders
• Status updates to clients
• Interview feedback compilation
• Proposal generation

Slide 3

✨ Writing Amazing Prompts

The RISEN Framework:

R - Role: Tell AI what role to play

I - Instruction: Give clear, specific directions

S - Steps/Context: Provide background and process steps

E - End Goal: Define output format and objectives

N - Narrowing: Add constraints and limitations

Bad Prompt:
"Write a job description for a CEO position."
Amazing Prompt using RISEN:
R: You are an executive search consultant specializing in C-suite placements.
I: Write a compelling job description for a CEO position.
S: The company is a $500M tech startup in fintech that has grown from Series B and is preparing for IPO. The role requires someone who has scaled companies through similar growth stages.
E: Create a 400-500 word job description that will attract senior executives currently at VP+ level at Fortune 500 companies or successful startup founders.
N: Must include specific experience requirements (10+ years scaling experience), compensation range ($300K-500K base + equity), and maintain a professional but inspiring tone that emphasizes growth potential.
Pro Tip: Always iterate! Start with a good RISEN prompt, then refine based on the output. Ask for specific improvements: "Make this more compelling for executives" or "Add more specific requirements."
Slide 4

🤖 LinkedIn AI Agent Workflow

1
🎯 Search Parameters Setup
Agent receives job requirements, location, experience level, and company preferences from recruiter
↓
2
🔍 Database Scanning
Systematically searches LinkedIn using Boolean logic, filters, and AI-powered profile analysis
↓
3
📊 Candidate Scoring
Analyzes profiles against job criteria, scores candidates on fit, experience, and potential interest
↓
4
💌 Personalized Outreach
Crafts personalized messages referencing candidate's background, achievements, and career trajectory
↓
5
📈 Response Tracking
Monitors replies, follows up strategically, and categorizes responses (interested, not interested, maybe later)
↓
6
🎯 Qualification Calls
Schedules and conducts initial screening calls, asks pre-qualification questions, records responses
↓
7
📋 Shortlist Creation
Compiles qualified candidates into ranked shortlist with detailed profiles and interview availability
↓
8
🗓️ Interview Coordination
Coordinates calendars, books interview slots, sends preparation materials, and manages logistics
Result: What typically takes 2-3 weeks of manual work can be completed in 2-3 days, allowing recruiters to focus on relationship building and final candidate evaluation.
Slide 5

📝 Summary - How to Use AI

1
Start using LLMs (Claude / Gemini) as side kicks
↓
2
Finalize one of the LLMs & start writing prompts that "aid" you with thinking work
↓
3
Improve and perfect the prompts for your daily use cases
↓
4
Learn to set up agentic workflows for yourself
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5
Learn more about how LLMs work on Youtube