First External Proof Action Sheet

Turn the first resume-outcome goal into a single action sheet for getting one real, public, non-owner evidence item without inflating users, feedback, stars, or business impact.

0accepted external evidence
0GitHub stars
0confirmed external users
3reviewer targets

Today Execution Order

  1. Send rank 1 AI Engineer review request to one real reviewer.
  2. Record only the sent outreach event after sending it.
  3. If no response after two days, send the follow-up from first-outcome-evidence-request.md.
  4. Do not update resume outcome metrics until the public issue passes the evidence gate.
Rank 1

ai_engineer_review_items

AI/ML engineer, mentor, or advanced CS/data science peer

This unlocks the strongest AI Engineer Intern resume signal if the issue passes the gate.

Start Submit evidence
Rank 2

external_feedback_items

Classmate or student developer who can open the public demo

This is the fastest path to one concrete external feedback item.

Start Submit evidence
Rank 3

reproducible_feedback_items

Developer comfortable with Docker or local API testing

This can prove the project is runnable outside the owner machine.

Start Submit evidence

Rank 1 Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=ai_engineer_review.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/26. The ask is: Inspect the LLM tool-calling loop, guardrails, and evidence trail for AI Engineer credibility. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it. Shortest path if you do not want to read every doc: https://sunnnn2005.github.io/data-quality-agent/one-click-evidence-links.html.

Record after sending

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_07 --status sent --reviewer-contact "<reviewer name or handle>" --channel-used "LinkedIn DM or mentor email" --note "Sent first AI Engineer reviewer request"

Rank 2 Message

Could you spend 2 minutes reviewing my Data Quality Agent demo? Open this card, inspect one result, and leave one concrete public note if you are comfortable: https://sunnnn2005.github.io/data-quality-agent/two-minute-review-card.html

Record after sending

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_01 --status sent --reviewer-contact "<reviewer name or handle>" --channel-used "class Discord, LinkedIn DM, or text" --note "Sent two-minute demo feedback request"

Rank 3 Message

Could you try a reproducible run of my Data Quality Agent and leave public redacted evidence only if it works for you? Start here: https://sunnnn2005.github.io/data-quality-agent/external-run-quickstart.html

Record after sending

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_03 --status sent --reviewer-contact "<reviewer name or handle>" --channel-used "GitHub, Discord, or LinkedIn DM" --note "Sent reproducible local replay request"

Required Success Fields

Locked Resume Line

Locked until the external reviewer evidence gate passes.

Received external AI Engineer review of the tool-calling loop, guardrails, structured output, and evidence trail.

Counting Boundary

This action sheet and any sent message are distribution evidence only. Resume outcome metrics stay at zero until a non-owner public GitHub issue passes the external reviewer evidence gate.

Not Claimed