1┌─────────────────────────────────────────────┐
2│       TRADITIONAL RECRUITMENT               │
3├─────────────────────────────────────────────┤
4│                                             │
5│ 📋 Job Posting                    (2 hrs)   │
6│      ↓                                      │
7│ 📧 Receive Applications           (ongoing) │
8│      ↓                                      │
9│ 👀 Manual Resume Review           (8 hrs)   │
10│      ↓ (100 resumes × 5 min each)           │
11│ ✓ Shortlist Candidates            (2 hrs)   │
12│      ↓                                      │
13│ 📞 Phone Screening                (5 hrs)   │
14│      ↓ (20 calls × 15 min)                  │
15│ 📅 Schedule Interviews            (3 hrs)   │
16│      ↓                                      │
17│ 🎯 Conduct Interviews             (varies)  │
18│      ↓                                      │
19│ ✅ Make Decision                  (2 hrs)   │
20│                                             │
21│ Total: 22-25 hours per hire                 │
22│ Time to hire: 30-45 days                    │
23└─────────────────────────────────────────────┘

1┌─────────────────────────────────────────────┐
2│        AI-POWERED RECRUITMENT               │
3├─────────────────────────────────────────────┤
4│                                             │
5│ 📋 Job Posting (AI-assisted)      (30 min)  │
6│      ↓                                      │
7│ 🤖 Auto Resume Screening          (instant) │
8│      ↓ (100 resumes in 2 min)               │
9│ 🎯 AI Candidate Ranking           (instant) │
10│      ↓                                      │
11│ 📅 Auto Interview Scheduling      (30 min)  │
12│      ↓                                      │
13│ 📝 AI Interview Prep              (15 min)  │
14│      ↓                                      │
15│ 🎯 Conduct Interviews             (varies)  │
16│      ↓                                      │
17│ ✅ AI-Assisted Decision           (1 hr)    │
18│                                             │
19│ Total: 6-8 hours per hire                   │
20│ Time to hire: 15-20 days                    │
21└─────────────────────────────────────────────┘

1Budget-friendly AI recruitment:
2 
31. ChatGPT/Claude + Google Sheets
4   - Resume parsing
5   - Candidate scoring
6   - Email templates
7   Cost: ~$20/month
8 
92. Make.com + AI
10   - Automated workflows
11   - Integration with job boards
12   - Candidate pipeline
13   Cost: ~$50/month
14 
153. Manatal
16   - Full ATS with AI
17   - Resume parsing
18   - Candidate matching
19   Cost: $15/user/month

1Write a job description for a Senior Software Engineer 
2position at a fintech startup.
3 
4Requirements:
5- 5+ years experience
6- Python and AWS expertise
7- Team leadership
8 
9Make it:
10- Inclusive and welcoming
11- Clear about must-haves vs nice-to-haves
12- Focused on what they'll accomplish, not just requirements
13- Free of biased language

1# Senior Software Engineer
2 
3## About the Role
4Join our engineering team to build the next generation 
5of financial tools that help millions manage their money 
6better. You'll lead key initiatives, mentor teammates, 
7and directly impact our product roadmap.
8 
9## What You'll Do
10- Design and build scalable backend systems in Python
11- Lead technical projects from concept to production
12- Mentor junior engineers and conduct code reviews
13- Collaborate with product and design teams
14- Drive best practices in code quality and testing
15 
16## What We're Looking For
17 
18**Must Have:**
19- 5+ years of software development experience
20- Strong Python programming skills
21- Experience with AWS services
22- Track record of shipping products
23- Clear communication skills
24 
25**Nice to Have:**
26- Fintech or financial services background
27- Experience with event-driven architectures
28- Contributions to open source projects
29- Experience leading small teams
30 
31## Why Join Us
32- Competitive salary + equity
33- Remote-first culture
34- Learning budget ($2,000/year)
35- Health, dental, vision insurance
36- Flexible PTO
37 
38## Our Commitment to Diversity
39We believe diverse teams build better products. We 
40welcome candidates from all backgrounds and are 
41committed to inclusive hiring practices.
42 
43---
44Location: Remote (US)
45Type: Full-time

1Prompt: "Review this job description for biased language"
2 
3AI Analysis:
4┌─────────────────────────────────────────────┐
5│         JOB DESCRIPTION BIAS CHECK          │
6├─────────────────────────────────────────────┤
7│                                             │
8│ ⚠️ Potentially Biased Language:            │
9│                                             │
10│ "Rockstar developer"                        │
11│ → Replace: "Skilled developer"              │
12│ → Reason: Gendered connotation              │
13│                                             │
14│ "Young, dynamic team"                       │
15│ → Replace: "Collaborative team"             │
16│ → Reason: Age discrimination                │
17│                                             │
18│ "Must be native English speaker"            │
19│ → Replace: "Excellent English communication"│
20│ → Reason: Nationality discrimination        │
21│                                             │
22│ ✅ Good Practices Found:                    │
23│ • Clear must-have vs nice-to-have           │
24│ • Focus on skills, not credentials          │
25│ • Inclusive benefits mentioned              │
26│                                             │
27└─────────────────────────────────────────────┘

1Workflow:
21. Resume received (email/form)
32. Extract text from PDF
43. Send to Claude API
54. Parse structured data
65. Score against job requirements
76. Add to candidate database

1Parse this resume and extract information in JSON format:
2 
3{
4  "name": "",
5  "email": "",
6  "phone": "",
7  "location": "",
8  "linkedin": "",
9  "summary": "",
10  "experience": [
11    {
12      "company": "",
13      "title": "",
14      "duration": "",
15      "years": 0,
16      "responsibilities": [],
17      "achievements": []
18    }
19  ],
20  "education": [
21    {
22      "institution": "",
23      "degree": "",
24      "field": "",
25      "year": ""
26    }
27  ],
28  "skills": {
29    "technical": [],
30    "soft": [],
31    "languages": [],
32    "certifications": []
33  },
34  "total_experience_years": 0
35}
36 
37Resume:
38[paste resume text]

1Score this candidate against the job requirements.
2 
3Job Requirements:
4- 5+ years Python experience (Required)
5- AWS expertise (Required)
6- Team leadership (Required)
7- Fintech experience (Preferred)
8- Open source contributions (Preferred)
9 
10Candidate Profile:
11[parsed resume JSON]
12 
13Provide scoring:
14{
15  "overall_score": 0-100,
16  "requirement_scores": {
17    "python_experience": {
18      "score": 0-100,
19      "evidence": "",
20      "years": 0
21    },
22    "aws_expertise": {
23      "score": 0-100,
24      "evidence": ""
25    },
26    "team_leadership": {
27      "score": 0-100,
28      "evidence": ""
29    },
30    "fintech_experience": {
31      "score": 0-100,
32      "evidence": ""
33    },
34    "open_source": {
35      "score": 0-100,
36      "evidence": ""
37    }
38  },
39  "strengths": [],
40  "concerns": [],
41  "recommendation": "Strong Match / Good Match / Weak Match / No Match",
42  "suggested_interview_questions": []
43}

1Google Sheets Setup:
2├── Sheet 1: Raw Applications
3│   └── Columns: Timestamp, Name, Email, Resume Link
4│
5├── Sheet 2: Parsed Candidates
6│   └── Columns: Name, Email, Experience, Skills, Score
7│
8└── Sheet 3: Shortlist
9    └── Columns: Name, Score, Status, Interview Date
10 
11Make.com Automation:
121. New row in Sheet 1 (trigger)
132. Download resume from link
143. Extract text (PDF.co or similar)
154. Send to Claude for parsing
165. Send to Claude for scoring
176. Add to Sheet 2
187. IF score >= 70: Add to Sheet 3
198. Send notification to recruiter

11. Create Calendly account
22. Set availability for interviews
33. Create event type: "Initial Interview"
44. Get scheduling link
5 
6Automation:
7Candidate passes screening → 
8Auto-send email with Calendly link →
9Candidate self-schedules →
10Confirmation sent to all parties

1Subject: Interview Invitation - [Position] at [Company]
2 
3Hi [candidate_name],
4 
5Thank you for applying to the [position] role at 
6[company]. We've reviewed your application and would 
7love to learn more about you!
8 
9**Next Step: Schedule Your Interview**
10 
11Please select a time that works for you:
12[Schedule Interview]([calendly_link])
13 
14**What to Expect:**
15- 30-minute video call via Zoom
16- Discussion about your experience
17- Q&A about the role and company
18 
19**Interviewer:** [interviewer_name], [interviewer_title]
20 
21If none of the times work, reply to this email and 
22we'll find an alternative.
23 
24Best regards,
25[recruiter_name]
26[company] Talent Team

1Advanced Workflow:
2 
31. Candidate selected for interview
42. AI checks:
5   - Candidate timezone (from resume location)
6   - Interviewer availability
7   - Interview room availability
8   - Buffer time between interviews
93. AI suggests 3 optimal time slots
104. Auto-send to candidate
115. Candidate confirms
126. Calendar events created for all parties
137. Zoom link generated
148. Reminder emails scheduled

1Prompt: "Generate interview questions for Senior 
2Software Engineer candidate based on their resume"
3 
4Candidate Background:
5- 6 years at fintech companies
6- Led team of 4 engineers
7- Built payment processing system
8- Python, AWS, PostgreSQL expertise
9 
10AI Output:
11 
12# Interview Guide: [Candidate Name]
13 
14## Technical Questions (30 min)
15 
161. **System Design**
17   "Tell me about the payment processing system you 
18   built. How did you handle scalability and reliability?"
19   
20   Follow-ups:
21   - How did you handle failed transactions?
22   - What was your peak transaction volume?
23 
242. **Python Expertise**
25   "What's your approach to writing maintainable 
26   Python code at scale?"
27   
28   Follow-ups:
29   - Testing strategies?
30   - Performance optimization techniques?
31 
323. **AWS Architecture**
33   "Walk me through how you'd design a highly 
34   available service on AWS"
35 
36## Leadership Questions (15 min)
37 
384. "Tell me about leading your team of 4. What was 
39   your biggest challenge and how did you handle it?"
40 
415. "How do you balance coding vs team responsibilities?"
42 
43## Behavioral Questions (10 min)
44 
456. "Describe a time when you had to push back on a 
46   product requirement. What was the outcome?"
47 
487. "Tell me about a project that failed. What did 
49   you learn?"
50 
51## Red Flags to Watch For
52- Vague answers about technical decisions
53- Unable to explain past project contributions
54- Signs of poor collaboration skills

1# Interview Feedback Form
2 
3**Candidate:** [Name]
4**Position:** Senior Software Engineer
5**Interviewer:** [Your name]
6**Date:** [Date]
7 
8## Scoring (1-5 scale)
9 
10| Area | Score | Notes |
11|------|-------|-------|
12| Technical Skills | ⬜1 ⬜2 ⬜3 ⬜4 ⬜5 | |
13| Problem Solving | ⬜1 ⬜2 ⬜3 ⬜4 ⬜5 | |
14| Communication | ⬜1 ⬜2 ⬜3 ⬜4 ⬜5 | |
15| Leadership | ⬜1 ⬜2 ⬜3 ⬜4 ⬜5 | |
16| Culture Fit | ⬜1 ⬜2 ⬜3 ⬜4 ⬜5 | |
17 
18## Strengths
19- 
20- 
21 
22## Concerns
23- 
24- 
25 
26## Recommendation
27⬜ Strong Hire
28⬜ Hire
29⬜ No Hire
30⬜ Strong No Hire
31 
32## Notes for Next Interviewer
33[What should next interviewer focus on?]

1Database: Candidates
2 
3Fields:
4├── Name (text)
5├── Email (email)
6├── Position (link to Jobs)
7├── Source (select: LinkedIn, Referral, Job Board)
8├── Status (select)
9│   ├── New Application
10│   ├── AI Screening
11│   ├── Recruiter Review
12│   ├── Phone Screen
13│   ├── Interview 1
14│   ├── Interview 2
15│   ├── Offer
16│   ├── Hired
17│   └── Rejected
18├── AI Score (number)
19├── Resume (attachment)
20├── Parsed Data (JSON)
21├── Interview Notes (long text)
22├── Final Decision (select)
23└── Offer Details (text)
24 
25Views:
26├── Kanban by Status
27├── Table: All Candidates
28├── Calendar: Interviews
29└── Gallery: Shortlisted

1Dashboard Metrics:
2 
3Pipeline Overview:
4├── Total Applications: 156
5├── AI Screened: 156 (100%)
6├── Passed Screening: 42 (27%)
7├── Interviewed: 18 (12%)
8├── Offers Extended: 4 (2.5%)
9└── Accepted: 3 (1.9%)
10 
11Time Metrics:
12├── Avg time to screen: 2 hours
13├── Avg time to interview: 5 days
14├── Avg time to offer: 14 days
15└── Avg time to hire: 21 days
16 
17Quality Metrics:
18├── Offer acceptance rate: 75%
19├── 90-day retention: 95%
20└── Hiring manager satisfaction: 4.5/5
21 
22Source Performance:
23├── LinkedIn: 45 candidates, 2 hires (4.4%)
24├── Referrals: 23 candidates, 1 hire (4.3%)
25├── Job boards: 88 candidates, 0 hires (0%)

1⚠️ AI Bias Risks:
2 
31. Training Data Bias
4   - Historical hiring patterns embedded
5   - May perpetuate past discrimination
6   
72. Proxy Discrimination
8   - ZIP code → socioeconomic status
9   - University name → privilege
10   - Name → gender/ethnicity
11 
123. Keyword Bias
13   - "Golf" vs "Basketball"
14   - "Assertive" vs "Collaborative"

1✅ Fair AI Hiring Practices:
2 
31. Blind Resume Review
4   - Remove names, photos, addresses
5   - Focus on skills and experience
6   - AI screens on requirements only
7 
82. Diverse Training Data
9   - Ensure AI trained on diverse hires
10   - Regular bias audits
11   - Multiple reviewers
12 
133. Structured Interviews
14   - Same questions for all candidates
15   - Scoring rubric
16   - Multiple interviewers
17 
184. Human Override
19   - AI recommends, human decides
20   - Always review edge cases
21   - Appeals process available
22 
235. Regular Audits
24   - Track demographics through pipeline
25   - Identify drop-off points
26   - Adjust criteria if biased

1End-to-End AI Recruitment:
2 
31. POST JOB
4   └── AI generates inclusive job description
5 
62. RECEIVE APPLICATIONS
7   └── Auto-acknowledge receipt
8 
93. AI SCREENING (Make.com)
10   ├── Parse resume (Claude)
11   ├── Score against requirements
12   ├── Flag for human review if borderline
13   └── Update candidate database
14 
154. RECRUITER REVIEW
16   ├── Review AI-flagged candidates
17   ├── Final shortlist decision
18   └── Reject with personalized email
19 
205. SCHEDULE INTERVIEWS
21   ├── Auto-send Calendly links
22   ├── Candidate self-schedules
23   └── Reminders automated
24 
256. INTERVIEW PREP
26   ├── AI generates questions
27   ├── Interviewer gets prep doc
28   └── Candidate gets company info
29 
307. POST-INTERVIEW
31   ├── Collect feedback
32   ├── AI summarizes inputs
33   └── Recommendation generated
34 
358. DECISION & OFFER
36   ├── AI compiles all feedback
37   ├── Hiring manager decides
38   └── Offer letter generated (AI)
39 
409. ONBOARDING TRIGGER
41   └── Accepted → Start onboarding workflow

11. Choose a role you're hiring for
22. Use AI to generate job description
33. Run bias check
44. Refine based on feedback

11. Create Google Sheet for candidates
22. Set up Make.com workflow:
3   - Email trigger
4   - PDF extraction
5   - Claude parsing
6   - Score calculation
73. Test with 3 sample resumes

11. Set up Calendly event type
22. Create email template
33. Build automation:
4   - Candidate passes screening
5   - Auto-send scheduling link
64. Test end-to-end