Our Vetting Process
Expert+AI Excellence
Every candidate goes through 3-4 months of intensive training with continuous AI monitoring and expert mentorship. Not just interview snapshots—real behavioral data.
The Hiring Challenge
Traditional hiring gives you snapshots. We give you the full movie.
Traditional Recruiting
- •Resume screening (easy to embellish)
- •1-2 hour interview (performance vs. reality)
- •Reference checks (cherry-picked)
- •Hope for the best after hire
Brave Career (Expert+AI)
- •90+ days of continuous observation
- •Daily AI check-ins + mentor oversight
- •Real project delivery with code reviews
- •Complete behavioral data + portfolio
Our Three-Phase Vetting System
A rigorous process that combines human expertise with AI-powered continuous monitoring
Selective Admission & Training Setup
Human Role
- →Application review and initial screening calls
- →Assess motivation and cultural fit
- →Set personalized learning goals
AI Role
- →Skills baseline assessment
- →Learning path generation
- →Pattern matching for success indicators
Outcome: Only motivated, qualified learners with strong fundamentals enter the program
Daily Execution & Monitoring
3-4 months of continuous observation
Scenario Simulation & Real-World Practice
Multi-Modal AIAI Role
Acts as realistic clients in live conversations, simulating real business scenarios
Human Role
Mentors review interactions, provide nuanced feedback on communication and professionalism
What We Track
Communication skills, requirement gathering, email professionalism, client handling
Interactive Demos: AI Conversation Simulations
Explore how candidates practice with AI in different scenarios
What you're seeing: Real candidates practicing requirement gathering and professional communication with AI clients. Notice how the AI simulates realistic client behavior, including follow-up questions and ambiguous requirements.
Daily Standup Accountability
AI Role
Conducts daily phone call standups, tracks progress consistency and commitment patterns
Human Role
Reviews patterns over time, intervenes when blockers emerge or motivation dips
What We Track
Daily commitment, work consistency, self-reported blockers, progress velocity
Daily Standup Consistency
12 weeks tracked
Progress Dashboard
Next Focus
Error handling & email tone
Personalized Progress & Coachability
AI Role
Analyzes progress data, identifies patterns, suggests next best practices based on learning velocity
Human Role
Co-decides with AI, adjusts based on context, nuance, and individual circumstances
What We Track
Learning velocity, coachability, commitment level, adaptability to feedback
Interactive Demo: Personalized Feedback
See how AI analyzes performance and mentors provide personalized coaching
Mentee Knowledge Graph
AI maps learning progress across skills and identifies knowledge gaps
AI Suggest Next Action
Personalized recommendations based on real-time progress analysis
What you're seeing: Real examples of how AI tracks learning velocity and coachability, while mentors provide contextual feedback and adjust the learning path based on individual progress patterns.
Final Verification & Portfolio
Presentation Recordings
Watch candidates present their projects and explain technical decisions
Code Reviews
Access complete code repositories with mentor reviews and feedback
Mock Interviews
Recorded mock interviews with industry professionals
Mentor Assessments
Detailed evaluations from mentors who worked directly with candidates
AI Performance Summary
Comprehensive data analysis of candidate behavior and progress
Complete Timeline
Track project progression and growth throughout the program
The Data You Get
Not just interview snapshots—complete behavioral data over 3-4 months
90+ Days of Daily Standup Consistency
See commitment patterns, not just what they say in interviews
20+ AI Client Interaction Recordings
Evaluate communication skills in realistic business scenarios
Real Project Code with Mentor Reviews
Access production-ready work, not just coding challenges
Progress Trajectory Over Time
See growth and learning velocity, not just a final snapshot
Coachability & Adaptability Scores
Data-driven insights on how candidates respond to feedback
Complete Work History Timeline
Full transparency into the entire training journey
Meet the Human Experts
AI provides the data. These mentors make the final decisions. Their combined 350+ placements speak for themselves.
Why Human Judgment Still Matters: AI can track data and patterns, but only experienced humans can assess cultural fit, evaluate nuanced communication, and make judgment calls on soft skills.
How We Compare
Not all vetting is created equal
| Feature | Traditional Recruiting | Coding Bootcamps | Brave Career (Expert+AI) |
|---|---|---|---|
| Observation Period | 2-3 hours | Final projects only | 90+ days continuous |
| Daily Tracking | None | Optional check-ins | AI daily standups |
| Real Client Simulations | ❌ | ❌ | ✓ 20+ interactions |
| Mentor Code Reviews | ❌ | Limited | ✓ Every project |
| Coachability Assessment | Interview only | Subjective | ✓ Data-driven |
| Work Consistency Data | ❌ | ❌ | ✓ 90+ days tracked |
| Fee Structure | 15-25% salary | N/A (candidate pays) | 5% (1st hire free) |
Frequently Asked Questions
How accurate is AI vetting compared to expert judgment?
AI doesn't replace expert judgment—it enhances it. AI excels at tracking consistency, identifying patterns, and analyzing large amounts of data objectively. Expert mentors excel at assessing cultural fit, evaluating nuanced communication, and making contextual decisions. Our Expert+AI approach combines the strengths of both for more accurate and comprehensive vetting.
Can AI be biased in candidate evaluation?
We're very aware of AI bias risks. Our AI focuses on objective metrics like daily consistency, code quality, and communication clarity—not subjective factors. Plus, every AI assessment is reviewed by human mentors who can override or contextualize the data. The final hiring decision always involves human judgment.
What if AI misses important red flags?
This is exactly why we use Expert+AI, not AI alone. Our expert mentors review every candidate's progress weekly and have direct interactions with them. The AI flags patterns for expert review—it doesn't make final decisions. If a mentor notices concerns the AI didn't catch, they can intervene immediately.
How do you balance expert and AI input in the final decision?
AI provides the data layer: consistency scores, progress metrics, interaction quality. Expert mentors make the judgment calls: Does this person fit startup culture? Can they handle ambiguity? Will they work well remotely? We think of it as AI doing the heavy lifting on data collection and pattern recognition, while experts focus on the nuanced evaluation that only experience can provide.
How is this different from automated resume screening?
Completely different. Automated resume screening looks at keywords and past experience. Our AI monitors actual behavior over 90+ days: How do they communicate in client scenarios? Do they show up consistently? How quickly do they learn? How do they respond to feedback? It's real performance data, not just what's written on a resume.
What happens to the data after candidates are hired?
All candidate data is stored securely and shared only with explicit permission. Once a candidate is hired, employers get access to their portfolio (presentations, code, interviews) but ongoing AI tracking data remains confidential unless the candidate chooses to share it. We take privacy seriously and comply with all data protection regulations.
Ready to Hire Vetted Talent?
See the difference Expert+AI vetting makes. Access candidates with 90+ days of proven performance data.
Questions? Email us at hello@bravecareer.ai