Active build

Briefline

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Week 1 · Build

DAY 1 35 MIN

Next proof

Agent loop

Build one real workflow. Make it recoverable. Measure it. Defend it.

Definition of done

Current contract

The system you are proving

01

Deployment doctrine

Evidence earns autonomy

The model is one component. The operating system creates the value.

01 / AUDIT

Map the work as it happens

Capture triggers, exceptions, handoffs, authority, and failure cost.

Output: current-state map
02 / EVALS

Define acceptable behavior

Use 20+ real cases with pass, fail, escalation, and format criteria.

Output: golden dataset
03 / DEPLOY

Integrate in controlled stages

Start in a sandbox. Add monitoring, human gates, and rollback paths.

Output: monitored workflow

Four gates

Each phase earns the next

30-day roadmap

Build one case study. Take it deep.

01Complete cardBuild one bounded capability
02Attach receiptLink the file, log, test, or demo
03Answer interview promptExplain the decision and evidence
04Publish case studyAssemble the receipts into one story

Eight-week application campaign

Prove the work. Then tailor the signal.

0% 0 of 32 milestones complete
Claim boundary

This tracker separates existing proof, skills under construction, and experience not claimed. A course or demo does not equal enterprise production ownership.

Selected platform anchor

OpenAI API · Responses, tools, structured outputs, evals

Use one stack for the deep implementation. Build small comparison adapters for the other companies. This protects depth and creates reusable evidence.

ANCHOR CASE Slack Marketing Asset Generator

Brief → approved sources → asset package → human approval. No external publication without approval.

Company lens

Change the emphasis, not the underlying facts

Milestones

Eight weeks from inventory to applications

OpenDoingDone

Proof inventory

Projects and case-study assets

Skills to prove

Attach receipts

Skills to build

Create bounded evidence

Not yet claimed

Do not imply ownership

Evidence checklist

Application-ready receipts

Behavioral stories

Six specific stories

Resume and LinkedIn

Tailor claims for OpenAI

FDE project backlog

Fifty builds. Six delivery lanes. One evidence standard.

50projects shown
Evidence rule

Links appear only after public verification. Local work without a public receipt stays clearly labeled.

August 2026 role-fit snapshot

Review fit before spending application time.

0stronger fits then
Dated research

These assessments were written in August 2026. Listing status, eligibility, and compensation are unverified today. Check the employer posting before acting. Fit ratings compare the earlier requirements with documented experience and public project evidence.

Stronger fit thenSelective stretch thenMaterial gap then

Source walkthrough

Understand the role before building.

Open full notes
Reality filter

The plan creates a first FDE case study. It does not replace years of engineering and client delivery.

Where the value sits

Two judgments. One accountable system.

Model access is common. Choosing the right work, controls, and success criteria is not.

COMMERCIAL Should this work use AI?

Volume, pain, risk, owner, economics, and adoption.

TECHNICAL How should it behave?

Context, tools, evals, failure modes, and observability.

Visual map

How FDE work moves from request to proof

Download SVG

A reference workflow for one bounded customer case study. Scroll sideways on a small screen.

Swimlane map with customer, FDE, platform, and proof lanes across discover, scope, build, validate, and handoff stages.
Follow each lane across the five stages. Handoffs connect the customer problem, implementation, controls, and reviewable evidence.

Claims to treat carefully

$150K–$1M compensationUnverified upper bound. Do not treat it as expected pay.
95% of AI pilots failUnverified as quoted. The transcript does not name the study or method.
Become an FDE in 30 daysMarketing language. The realistic output is one evidence-backed case study.

Evidence ledger

Your case study is built from receipts.

Week 1 case-study assembly

Seven receipts. One working-agent story.

0/7 receipts7 receipts missing

Interview lab · four source-led drills

Turn a project into an answer.

0 of 4 drafts saved

Claim boundary

Use a project you built. Name simulations, missing production experience, and unmeasured outcomes. These prompts reflect speaker advice in the supplied transcripts, not a universal hiring rubric.

What the interviewer is testing

Answer path

    A concrete proof point

    Source

    .

    Definition of done

    Check

    Mini-artifact

    Case-study section

    Why a hiring manager cares

    Interview prompt this answers

    One resource

    Project setup

    Choose one workflow.

    Depth creates proof. A second project creates distraction.

    Format: When [trigger] occurs, the system uses [inputs and tools] to produce [output], stops at [human boundary], and improves [metric].