miguisanson.dev
Seven Seven implementation study

AI Research

Mock-first support tools for QA, recruitment, and HR workflows. Each module generates structured draft output, keeps real data out of the demo, and routes decisions through a human review gate.

Open QA moduleView modules
Mock modeHuman review required
Quality assuranceQA AssistantTester gate
Recruitment reviewRecruitment AssistantRecruiter gate
HR supportHR AssistantHR gate
API keyNot required
Workflow

Drafts move through a review queue before anything is approved.

01

Input

Use fictional or sample-only context for the workflow.

02

Draft

Generate structured recommendations in mock mode.

03

Review

Route the draft to a human tester, recruiter, or HR reviewer.

04

Approve

Mark the output only after human validation.

05

Log

Record timestamp, module type, input summary, and status.

Modules

Three focused research modules

Quality assuranceDraft

AI QA Assistant

Turns a feature brief or bug note into review-ready testing artifacts for a human QA tester.

6 output groupsE2E draftTester gate
  • Test cases and edge cases
  • Acceptance criteria
  • Bug summary and failure points
  • Playwright-style E2E draft
Open module
Recruitment reviewDraft

AI Recruitment Assistant

Produces recruiter-review summaries from a job brief and fictional candidate profile without making hiring decisions.

1-10 scoreSkill matrixRecruiter gate
  • Alignment score and skills match
  • Education and employment summary
  • Top 10% review concepts
  • Interview and candidate message drafts
Open module
HR supportDraft

AI HR Assistant

Drafts HR support responses from sample policies, form requests, timesheets, and compensation factors.

Policy answerTicket triageHR gate
  • Policy-based answer
  • Suggested HR reply and form guidance
  • Ticket category and priority
  • Timesheet notes and escalation path
Open module