aifluent
AI-native hiring work samples for every role

Hire the most AI-native person for any role.

A role-specific work sample inside a controlled AI sandbox — with a first-party evidence trail your reviewers can defend. No auto-rejects, no rankings.

Role-specific work samplesControlled AI sandboxEvidence for human review
Start a pilotSee sample report

why this matters now

of developers use AI daily
84%
Stack Overflow 2025 Developer Survey
of companies allow AI in interviews
40%
Kane Narraway, Cloudflare · 2026
EU AI Act hiring enforcement (currently scheduled)
Aug 2
Annex III · 2026
launch role families
8
software, data, product, design, ML, prompt, analysis, commercial

the gap

Measure the work, not the buzzwords.

Every candidate gets the same task and same approved AI stack. Reviewers get the evidence, with optional AI reference context only when it helps.

signal

AI-native judgment, clearly shown.
See how the candidate frames ambiguity, verifies claims, uses AI, and communicates a decision.

method

One reviewable artifact.
Scorecard, evidence notes, and debrief prompts in one clean report.

scope

Human decision, better record.
No auto-rejects. No forced rankings. Just stronger evidence for reviewers.

how it works

From role brief to report.

  1. 01

    Scope the work sample

    Pick the role, seniority bar, tools, and reviewer evidence.

  2. 02

    Author and calibrate

    Create the work sample, rubric, evidence rules, and optional reference signal.

  3. 03

    Invite candidates

    Every candidate works in the same approved AI environment.

  4. 04

    Capture the work

    Collect the artifact, workflow evidence, and reviewer notes.

  5. 05

    Review with confidence

    Ship an audit-ready report without auto-ranking or replacing judgment.

live now

Work sample 01: AI product judgment.

Product candidates turn a messy AI feature brief into a structured, evidence-backed recommendation.

live now
AI Product Judgment / Workflow Design Review
Turn a messy product brief into a decision-ready AI-assisted artifact.

next modules

02

Product Analytics / Commercial Analysis

planned

Ambiguous metric synthesis, customer evidence, prioritization, and AI-assisted business judgment.

03

Product Design

planned

User-flow critique, prompt-directed iteration, design rationale, and handoff quality.

04

Data and Commercial Analysis

planned

Synthesis quality, evidence handling, spreadsheet or SQL work, and defensible recommendations.

choose the view

For the hiring team.
For the candidate earning it.

One work sample system, two useful artifacts: a defensible team report and a credential-ready candidate record.

— work sample portfolio

See the role families.

Engineering, product, design, data, ML, and commercial roles share one controlled work sample method.

explore work samples→
— sample reviewer packet

Read a real reviewer packet.

The evidence, rubric signals, AI-use reflection, and audit trail a hiring team receives — rendered in public.

open the sample report→
— for hiring teams

Build the work sample with us.

Scope the role, approve the tool stack, define the evidence rules, and receive a report your team can defend.

see enterprise service→

start here

Hire the most AI-native person for the role.

One controlled work sample, a defensible evidence trail, and a report your reviewers own. Human decides, always.

Start a pilotSee sample report