00Agentic Career System

Crouching Tiger

An agentic career system that turns your goals into precise daily moves.

Tell it where you want to be in a year. It studies your profile, the job market, your network, calendar, voice, and visibility gaps — then acts with precision across applications, outreach, LinkedIn, events, and content.

quiet strategysharp targetinghigh-impact execution
User Goal
Where you
want to be
LinkedIn
Indeed
Glassdoor
Calendar
Meetup
Luma
WhatsApp
Resume
01The Problem

Most job seekers move randomly.

Lots of activity. Little precision. The market rewards aim, not volume.

  • 01applying to too many jobs
  • 02rewriting resumes manually
  • 03posting inconsistently
  • 04missing relevant events
  • 05not reaching hiring managers
  • 06not using their network strategically
  • 07sounding generic online
  • Result: lots of activity, little precision.
02The Crouching Tiger Method

A tiger does not move randomly.

It observes. It studies the terrain. It chooses the right moment. Then it jumps with full precision. So does the agent.

01

Define the target

Set your career goal, desired positioning, preferred roles, industries, values, and timeline.

02

Read the terrain

Scan jobs, companies, hiring signals, events, LinkedIn opportunities, and content gaps.

03

Prepare the strike

Adapt the resume, write cover letters, prepare outreach, draft posts, find the right people.

04

Move with precision

Apply, reach out, suggest calls, post, tag relevant people — every action aligned to the goal.

03Agentic Workflow

One goal. Three agents. Continuous motion.

User Career Goal
6–12 month horizon
AI Strategy Layer
positioningtarget rolesskills gaptone of voicepersonal brandjob criteria
Flow 01

Job Application Agent

Connectors
LinkedIn JobsIndeedGlassdoorResumeCover LetterEmail
Actions
  • Checks if a job matches goals & qualifications
  • Reviews the company on Glassdoor
  • Analyzes role keywords
  • Tailors the resume per role
  • Writes a tailored cover letter
  • Applies — only with your consent
Flow 02

Networking Agent

Connectors
LinkedInCompany pagesHiring managersAlumniEmail
Actions
  • Finds people inside target companies
  • Identifies hiring managers & teams
  • Writes personalized outreach
  • Frames why you're a strong fit
  • Asks for a referral or short call
  • Follows up — politely, at the right cadence
Flow 03

Visibility & Content Agent

Connectors
LinkedInCalendarLumaMeetupWhatsAppPhotos
Actions
  • Suggests posts based on goals & calendar
  • Writes in your real voice
  • Asks for photos via WhatsApp
  • Generates infographics when useful
  • Suggests who to tag
  • Recommends posts worth promoting
04Connectors

Plugged into the systems where careers actually happen.

Each connector is a sense organ. The agent reads, decides, and only then acts.

LinkedIn
Profile, posts, outreach
LinkedIn Jobs
Targeted role discovery
Indeed
Wider job market scan
Glassdoor
Company signal & reviews
Google Calendar
Event windows & cadence
Luma
Curated event sourcing
Meetup
Community discovery
WhatsApp
Photo & note intake
Gmail / Email
Outreach & follow-ups
Resume
Tailored per application
Portfolio
Proof of work surface
Canva-style design
Infographic generation
Network CRM
Relationship tracking
05Human Consent Layer

Autonomous where useful. Human where it matters.

The agent never acts blindly. Before any meaningful move, it pauses and asks.

Asks you
before applying
Asks you
before sending outreach
Asks you
before posting on LinkedIn
Asks you
before registering for events
Asks you
before promoting a post
06Example User Journey

Senior marketer → AI Product Manager, in 12 months.

One goal, broken into months of precise, compounding moves.

  1. Month 0
    Defines the goal
    “I want to move into AI product management within 12 months.”
  2. Month 1
    Positioning shift
    LinkedIn rewritten to bridge marketing, AI, and product thinking.
  3. Month 2
    Skill gap mapped
    Curated learning + 3 events sourced from Luma & Meetup.
  4. Month 3
    Signal building
    Weekly posts in her real voice. First inbound from a PM lead.
  5. Month 5
    Targeted applications
    Only good-fit AI PM roles. Resume tailored each time.
  6. Month 7
    Warm intros
    Hiring managers reached via mutuals. Two referral calls booked.
  7. Month 9
    Visible candidate
    Recruiters quote her posts. Interviews at 3 AI-native companies.
  8. Month 12
    Lands the role
    AI Product Manager. Hired on signal, not spray.
07Final Move

Stop moving randomly.
Start moving with precision.

Crouching Tiger is rolling out to a small group of focused operators. Get on the list — first cohort selected by goal clarity, not order of arrival.

observe · target · strike