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AI-Powered Interview Intelligence

Your job search is a campaign.
Run it like one.

An AI agent that knows your resume, your stories, every interview you've done, and every company in your pipeline. It prepares you before calls, debriefs you after, and gets sharper with every conversation.

30s
Halo Framework
3.12
Scorecard Rating
Compound Knowledge

The job search is broken

Everyone knows it. Nobody does anything about it.

1

Prepping from scratch for every single call. Googling the company 20 minutes before, scrambling for talking points.

2

Forgetting what you meant to say during the interview, then remembering the perfect answer in the shower afterward.

3

Juggling companies across spreadsheets, notes apps, email, and memory. Losing track of who said what and when.

4

No idea how the last interview actually went. No structured way to learn from it before the next one.

Meet your interview intelligence system

A conversational AI that manages your entire job search pipeline. Ask about your pipeline health, get prep documents generated, and review AI-powered debriefs, all from one interface.

Halobrief
+ New Chat
Recent
How's my pipeline looking?
Prep me for Starforge
Add a new company...
What should I focus on?
Debrief: HM screen
How's my pipeline looking?
You've got 6 active roles, so you're in the ball-park of a healthy pipeline.

Stage gaps: Only one company each in outbound, inbound, applied, and technical-evaluation.

Overdue actions: Brightpath's HM call (03-03), Crestline's screen (02-28), and Starforge's scope interview (03-01) have passed their due dates.

Next steps: Pitch a quick note to each of those recruiters/PMs, or reschedule if you can't hit today.
What are upcoming actions?
Upcoming actions
Crestline – HM screen with Jordan Blake (due 02-28)
Starforge – Scope interview with Marcus Chen (due 03-01)
Brightpath – HM call with Dana Torres (due 03-03)
How can I help you today? LM Studio

The compound advantage

Every interview makes the next one better. Knowledge flows forward across your entire pipeline.

Step 1

Prep

AI writes your game plan from the JD, your resume, and accumulated intel from every prior conversation.

Step 2

Interview

Walk in with a cheat sheet: sticky header, quick reference table, halo opener, and watch-outs.

Step 3

Debrief

AI analyzes your transcript, scores you on a hiring committee rubric, extracts new intel, and surfaces gaps to sharpen.

Step 4

Compound

Everything feeds forward. Next round prep gets smarter. Other companies benefit from new stories and intel.

Every cycle compounds. Knowledge never resets.

Everything you need to run a job search like a pro

AI Chat Interface

Ask about your pipeline, trigger prep docs, add companies, and review debriefs through natural conversation. Your AI co-pilot for the entire search.

Pipeline Dashboard

Visual funnel, upcoming actions calendar, company cards with stage badges, salary ranges, and health alerts. See your entire search at a glance.

30-Second Halo Framework

Psychology-backed first impression scripting. Lead with your strongest credentials, pre-script reframes for potential weaknesses.

Hiring Committee Scorecard

AI scores your interview on real hiring dimensions: architecture, communication, scoping, self-awareness. See exactly where you stand.

Cross-Company Intelligence

Intel flows between rounds and across companies. What you learn at Starforge informs your prep at Brightpath. Knowledge compounds.

Design Review Analysis

For system design interviews, the AI reviews your submitted code and manifests. Shows what's good, what's rough, and writes the clean version.

Pipeline Dashboard

Pipeline

Updated 2026-03-19
6 Active 17 Total
Outbound
1
Inbound
1
Applied
1
Recruiter
1
HM Screen
1
Technical
1
Onsite
0
Offer
0

Upcoming Actions

2026-02-28 Crestline HM screen with Jordan Blake
2026-03-01 Starforge Scope interview with Marcus Chen
2026-03-03 Brightpath HM call with Dana Torres
Brightpath Active
Senior Platform Engineer
Recruiter-Screen Scheduled
Salary
$170,000 - $200,000
Recruiter
Jamie Lin
Next HM call with Dana Torres
Starforge Active
Infrastructure Engineer
Technical-Eval Scheduling
Salary
$191,000 - $250,000
Recruiter
Priya Mehta
Next Scope interview with Marcus Chen
Luminary Active
Senior DevOps Engineer
Inbound Scheduling
Salary
$160,000 - $190,000
Recruiter
Robin Park
Next Schedule recruiter call
Starforge | Scope Interview (System Design) | Marcus Chen | $191-250k | Positive
Overall Assessment
Signal: Positive. Strong system design session. Marcus asked you to design a multi-region Kubernetes platform with Cluster API for GPU training and inference workloads. Architecture was sound, and the phased rollout approach matched exactly what Marcus wanted. ArgoCD ApplicationSet design was the highlight.
What Went Well
Cluster API architecture was clearly from production experience. ClusterClass with separate worker classes for general, GPU training, and GPU inference. Marcus asked about node lifecycle and got detailed answers from real operational experience.
Phased rollout matched Marcus's preference. Proposed single-region pilot in us-central1, validate Cluster API lifecycle operations, then expand. Marcus confirmed this is exactly what he'd been planning.
What Could Be Sharper
GCP cross-region networking was vague. When Marcus asked about VPC peering vs Shared VPC vs Cloud Interconnect, the answer was high-level. Next time: study GCP-specific networking models for multi-region GKE.
Hiring Committee Scorecard
Dimension Score Notes
Architecture 3.5 Hub-spoke with Cluster API, correct topology
Scoping 3.5 Excellent phased approach, clear prioritization
Communication 3.5 Structured, clearly explained tradeoffs
GCP Knowledge 2.5 VPC networking was vague for cross-region

Know exactly how it went

After every interview, the AI analyzes your conversation and produces a structured debrief. What went well, what to sharpen, new intel extracted, and a hiring committee scorecard so you can see exactly where you stand.

The debrief isn't just a summary. It reviews your actual code and design artifacts, identifies what the interviewer was probing for, and tells you what to prep differently for the next round.

Intelligence that compounds across rounds

Every interview produces intel. The system carries it forward, building a richer picture with each conversation. By the final round, you know more about the team than most employees.

Carried Forward from Recruiter Screen (Priya)
  • AI/ML infrastructure, GCP-heavy, multi-region K8s
  • Series C, 300 employees, well-funded
  • GPU cluster infrastructure across 3 GCP regions
  • $191-250k salary range confirmed
  • Team of 8 infra engineers, 2 open headcount
Carried Forward from HM Screen (Marcus)
  • Using Terraform + Helm, no GitOps yet (opportunity for ArgoCD)
  • GPU nodes are their biggest scaling challenge
  • Marcus values engineers who drive technical decisions independently
  • Want to implement Cluster API for fleet management
New from Scope Interview (Marcus)
  • Hub-spoke, not standalone ArgoCD per region
  • Shared VPC is their current networking model
  • Evaluating GKE Autopilot for non-GPU workloads
  • Phase 1: us-central1 pilot in Q2 2026

The difference

Without
Google the company 20 minutes before the call
Wing your intro differently every time
Forget key stories mid-interview
Walk away unsure how it went
Start from scratch for the next round
With Halobrief
Tactical briefing with company intel, interviewer context, and your best stories pre-selected
Scripted 30-second halo opener that leads with your strongest credentials for this role
Quick reference cheat sheet on screen with one-line answers to likely questions
AI debrief with a hiring committee scorecard, wins analysis, and gap identification
Next round prep automatically incorporates everything from the previous one

Built for people who take this seriously

Every company gets its own file with stage history, interview documents, and accumulated intel. Click into any company to see the full picture: prep docs, debriefs, stage timeline, and next actions.

  • Conversational AI interface for natural interaction
  • Pipeline dashboard with funnel, calendar, and health alerts
  • Company detail view with stage timeline and documents
  • Prep docs and debriefs generated per interview round
  • Cross-company intelligence that compounds over time
  • All your data stays local, never leaves your machine

Starforge

Infrastructure Engineer
Technical-Evaluation Scheduling Active
Salary
$191,000 - $250,000
Applied
2026-01-28
Recruiter
Hiring Manager
Marcus Chen (VP of Engineering)

Stage History

2026-01-28Applied
2026-02-03Recruiter-ScreenScheduling
2026-02-12HM-ScreenScheduling
2026-02-21Technical-EvalScheduling

Documents

recruiter-screen-prep.htmlPrep
recruiter-screen-debrief.htmlDebrief
hiring-manager-screen-prep.htmlPrep
hiring-manager-screen-debrief.htmlDebrief

Stop winging interviews.
Start compounding.

Every conversation is data. Every data point makes the next one better.

Join the Waitlist