interview-loop-strategist

name	interview-loop-strategist
description	Orchestrates end-to-end interview preparation for senior ML/AI engineers targeting Anthropic and peer companies. Use for prep timeline generation, story coherence across rounds, mock scheduling, and debrief analysis. Activate on "interview prep", "interview loop", "Anthropic interview", "prep timeline". NOT for resume writing, career narratives, or individual round-type practice.
allowed-tools	Read,Write,Edit
metadata	{"gated":true,"category":"Career & Interview","pairs-with":[{"skill":"senior-coding-interview","reason":"Handles coding round preparation and practice"},{"skill":"ml-system-design-interview","reason":"Handles ML system design round deep practice"},{"skill":"anthropic-technical-deep-dive","reason":"Handles Anthropic-specific technical deep dive rounds"},{"skill":"tech-presentation-interview","reason":"Handles technical presentation round preparation"},{"skill":"values-behavioral-interview","reason":"Handles behavioral and values-fit round preparation"},{"skill":"hiring-manager-deep-dive","reason":"Handles hiring manager screen preparation"},{"skill":"interview-simulator","reason":"Runs mock interviews with realistic evaluation"},{"skill":"career-biographer","reason":"Upstream -- extracts career narrative raw material"},{"skill":"cv-creator","reason":"Upstream -- resume must be finalized before loop begins"}],"tags":["interview","preparation","strategy","anthropic"]}

Interview Loop Strategist

End-to-end orchestrator for senior-level AI/ML interview preparation. Coordinates timelines, story coherence across rounds, mock interview cadence, energy management, and post-interview debrief -- routing each round type to its specialist skill.

When to Use

Use for:

• Building a complete interview prep plan for a specific company
• Generating 2-week, 1-month, or 2-month preparation timelines
• Ensuring story coherence -- the same project told correctly across behavioral, technical, and HM rounds
• Scheduling and tracking mock interview cadence
• Energy management strategy for all-day virtual or onsite loops
• Post-interview debrief analysis and improvement planning
• Coordinating across all 7 round-specific interview skills

NOT for:

• Resume or CV creation (use cv-creator)
• Career narrative extraction (use career-biographer)
• Practicing a single round type in isolation (use the round-specific skill directly)
• Salary negotiation or offer evaluation
• General career counseling

---

Full Interview Pipeline

flowchart TD
    A[Career Biographer] -->|Extracts narrative| B[CV Creator]
    B -->|Resume finalized| C[Interview Loop Strategist]
    C --> D{Company Target Selected}
    D --> E[Generate Prep Timeline]
    E --> F[Story Coherence Matrix]
    F --> G[Round-Specific Prep]

    G --> G1[Recruiter Screen<br/>Self-prep]
    G --> G2[CodeSignal / Coding<br/>senior-coding-interview]
    G --> G3[Hiring Manager Screen<br/>hiring-manager-deep-dive]
    G --> G4[ML System Design<br/>ml-system-design-interview]
    G --> G5[Technical Deep Dive<br/>anthropic-technical-deep-dive]
    G --> G6[Tech Presentation<br/>tech-presentation-interview]
    G --> G7[Values & Behavioral<br/>values-behavioral-interview]

    G1 --> H[Mock Interviews<br/>interview-simulator]
    G2 --> H
    G3 --> H
    G4 --> H
    G5 --> H
    G6 --> H
    G7 --> H

    H --> I[Debrief & Adjust]
    I -->|Iterate| G
    I --> J[Interview Day<br/>Energy Protocol]
    J --> K[Post-Loop Debrief]
    K --> L{Offer?}
    L -->|Yes| M[Negotiation Phase]
    L -->|No| N[Gap Analysis & Retry]
    N -->|Update plan| E

---

Skill Routing Table

Each round type maps to a specialist skill. The strategist coordinates -- it does not execute round-specific practice.

Round Type	Specialist Skill	Key Focus
Recruiter Screen	Self-prep (no skill needed)	Pitch, motivation, logistics, salary range
Online Assessment / Coding	senior-coding-interview	LC hard, system design lite, time management
Hiring Manager Screen	hiring-manager-deep-dive	Leadership, team fit, technical judgment
ML System Design	ml-system-design-interview	End-to-end ML pipelines, tradeoffs, scale
Technical Deep Dive	anthropic-technical-deep-dive	Past work forensics, technical depth, AI safety
Tech Presentation	tech-presentation-interview	45-min talk, audience calibration, Q&A
Values / Behavioral	values-behavioral-interview	STAR stories, Anthropic values alignment
Mock Execution	interview-simulator	Realistic timed practice with scoring

---

Prep Timeline Selection

Choose based on time until first round:

flowchart LR
    T{Time Available?}
    T -->|< 2 weeks| P1[Intensive Plan<br/&gt;4-6 hrs/day]
    T -->|2-5 weeks| P2[Balanced Plan<br/&gt;2-3 hrs/day]
    T -->|6+ weeks| P3[Thorough Plan<br/&gt;1-2 hrs/day]
    P1 --> R[See references/<br/>preparation-timeline-templates.md]
    P2 --> R
    P3 --> R

For detailed daily schedules, consult references/preparation-timeline-templates.md.

---

Story Coherence Matrix

A senior candidate has 5-8 strong projects. Each project will surface in multiple rounds but must be tailored to the audience and evaluation criteria of that round.

How to Build the Matrix

1. List top 5 projects from career-biographer output (or direct input)
2. For each project, write 3 versions:

Version	Round Type	Emphasis	Length
Technical	ML Design, Deep Dive	Architecture decisions, tradeoffs, metrics, what you would change	8-12 min
Impact	Behavioral, HM	Leadership, influence, collaboration, business outcome	3-5 min (STAR)
Narrative	Presentation, Recruiter	Story arc, why it matters to the world, lessons learned	Variable

3. Cross-check for contradictions -- dates, team sizes, your role, metrics must be identical across versions
4. Map projects to Anthropic values -- which project demonstrates which value (safety, honesty, broad benefit)?

Example Coherence Entry

Project: Real-Time Object Detection Pipeline (2019-2022)

Round	Version	Key Points
ML Design	Technical	YOLOv5 -> custom architecture, 40ms latency constraint, edge deployment, model distillation tradeoffs
Deep Dive	Technical	Why ResNet backbone over EfficientNet, quantization strategy, failure mode analysis, production monitoring
Behavioral	Impact	Led 4-person team through 3 pivots, managed stakeholder expectations when accuracy targets slipped, mentored junior engineer who became tech lead
HM Screen	Impact	Drove 35% revenue increase through automation, navigated org politics to get GPU budget, built cross-functional relationships
Presentation	Narrative	"From research prototype to production system serving 10M requests/day -- lessons in making ML real"

---

Energy Management Protocol

All-day interview loops (4-6 hours) are endurance events. Cognitive fatigue causes more failures than knowledge gaps.

Before Interview Day

• Sleep 7-8 hours for 3 consecutive nights prior (not just the night before)
• Prepare environment: quiet room, backup internet, charged devices, water, snacks
• Do NOT cram the morning of -- review only your story coherence matrix and 1-page cheat sheet
• Light exercise the morning of (walk, stretch -- not a hard workout)

During the Loop

Break Length	Activity	Avoid
5 min	Stand, stretch, water, deep breaths	Phone, social media, reviewing notes
15 min	Walk, snack (protein > sugar), bathroom	Replaying the previous round
30+ min (lunch)	Eat a real meal, step outside, reset	Studying for next round

Cognitive Sequencing

If you can influence round order (sometimes companies ask preference):

1. Start with your strongest round -- builds confidence momentum
2. Put coding early -- requires peak cognitive freshness
3. Behavioral/values in the middle -- these are conversational and let you recover
4. Presentation whenever you rehearsed it -- muscle memory carries you
5. Avoid technical deep dive as last round -- fatigue makes it easy to ramble

---

Debrief Framework

Run after every mock AND every real interview round.

Immediate (within 30 minutes)

1. Dump raw notes -- what questions were asked, what you said, what you wish you said
2. Emotional check -- how did you feel? Confident, uncertain, surprised?
3. Time check -- did you run over? Under? Where did you lose time?

Structured Analysis (within 24 hours)

Dimension	Score (1-5)	Evidence	Action Item
Technical accuracy
Communication clarity
Time management
Story coherence
Energy / confidence
Question handling

Pattern Detection (weekly)

• What round types consistently score lowest?
• Which stories land well? Which fall flat?
• Are you improving on last week's action items?
• Adjust prep timeline allocation based on weakness trends

For scoring rubrics per round type, consult references/mock-interview-rubrics.md.

---

Anti-Patterns

Anti-Pattern: Uniform Preparation

Novice: Spends equal time on every round type -- 2 hours coding, 2 hours design, 2 hours behavioral, repeat. Expert: Analyzes personal weaknesses and round weighting. A candidate who aces design but freezes in coding allocates 60% of prep to coding. A candidate whose stories are inconsistent spends dedicated time on the coherence matrix. Detection: Prep log shows identical hours across all categories despite known weaknesses.

Anti-Pattern: Isolation Prep

Novice: Prepares each round independently. Tells a behavioral story about leading a team of 6 in one round, then says "I was the sole contributor" for the same project in a technical round. Expert: Uses the story coherence matrix to thread a consistent narrative across all rounds. Reviews the matrix before every mock. Has a peer check for contradictions. Detection: Same project described with conflicting details (team size, timeline, your role, metrics) across different round types.

Anti-Pattern: Mock Avoidance

Novice: Reads interview guides, watches YouTube videos, reviews flashcards -- but never actually practices speaking answers aloud under time pressure. Expert: Runs at minimum 2 full mock interviews per week in the final month. Records mocks. Reviews recordings. Uses interview-simulator for structured scoring. Treats mocks as the primary prep activity, not supplementary. Detection: Zero mock session recordings in history. Unable to answer questions within time limits despite "knowing the material."

---

Anthropic-Specific Notes

Anthropic's interview process (as of early 2026) emphasizes:

1. AI Safety understanding -- not just technical competence, but genuine engagement with alignment, interpretability, and responsible deployment
2. Technical depth over breadth -- they want to see how deep you can go on your own work, not surface-level familiarity with everything
3. Collaborative problem-solving -- interviews are designed to feel like working sessions, not interrogations
4. Intellectual honesty -- saying "I don't know" or "I was wrong about that" is valued over bluffing
5. Mission alignment -- why Anthropic specifically, not just "any AI company"

For detailed company-specific loop structures (Anthropic, Google DeepMind, OpenAI, Meta FAIR), consult references/company-specific-loops.md.

---

Process: First Session with a Candidate

1. Assess current state: Which company? When is the interview? What's your background?
2. Review upstream artifacts: career-biographer output, cv-creator resume, any existing prep
3. Select timeline template: 2-week / 1-month / 2-month based on available time
4. Build story coherence matrix: Top 5 projects x 3 versions each
5. Identify weakness areas: Self-assessment + any prior interview feedback
6. Generate personalized prep plan: Daily schedule with skill routing
7. Schedule first mock: Within 48 hours of starting prep
8. Set debrief cadence: After every mock, weekly pattern review

---

Reference Files

File	Consult When
references/preparation-timeline-templates.md	Generating a daily prep schedule for 2-week, 1-month, or 2-month timeline
references/mock-interview-rubrics.md	Scoring mock interviews, self-evaluation, or identifying failure modes per round type
references/company-specific-loops.md	Tailoring prep to a specific company's interview structure (Anthropic, DeepMind, OpenAI, Meta FAIR)