Resume Mog

Would a hiring manager stop skimming and book the interview?

Textresume-mogVersion 1

Judges a resume, a resume excerpt, or a LinkedIn summary on impact per line: concrete results, scope, and evidence of skill, readable in seconds. Claims without numbers or outcomes count for little.

What it looks for

Quantified outcomes, not lists of duties
Clear scope: team size, budget, users, scale
Progression and ownership over time
Tight, scannable lines with strong verbs
No buzzword stacks or vague self-description

Input

Send the text in text, up to 10,000 characters. This formula refuses images, so a call is always billed at the text rate: 1 unit, with up to 8 text formulas in one request (try it with Bio Mog and Tweet Mog).

The call returns noul, the probability from 0 to 1 that the answer is yes, and mogs, the verdict. The pass/fail boundary is set on the server and never returned. Use mogs as the decision and noul to rank.

POST /api/v1/mog

curl https://mogger.dev/api/v1/mog \
  -H "Authorization: Bearer $MOGGER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "formula": "resume-mog",
    "text": "Paste the text to judge here."
  }'

const res = await fetch("https://mogger.dev/api/v1/mog", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.MOGGER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    formula: "resume-mog",
    text: "Paste the text to judge here.",
  }),
});
const data = await res.json();
if (!res.ok) throw new Error(`${data.error.code}: ${data.error.message}`);

const { mogs, noul } = data.results["resume-mog"];
console.log(mogs, noul);

import os

import requests

res = requests.post(
    "https://mogger.dev/api/v1/mog",
    headers={"Authorization": f"Bearer {os.environ['MOGGER_API_KEY']}"},
    json={
        "formula": "resume-mog",
        "text": "Paste the text to judge here.",
    },
    timeout=60,
)
data = res.json()
if not res.ok:
    raise RuntimeError(f"{data['error']['code']}: {data['error']['message']}")

result = data["results"]["resume-mog"]
print(result["mogs"], result["noul"])

# With the mogger skill installed, ask in plain words, for example:
#   Score this with mogger (resume-mog): Paste the text to judge here.
# The skill sources its helpers and runs:
score_text resume-mog 'Paste the text to judge here.' | jq '.results'

Response

{
  "results": {
    "resume-mog": {
      "mogs": true,
      "noul": 0.91,
      "version": 1
    }
  },
  "cost": 1,
  "quota": {
    "remaining": 999,
    "budget": 1000
  },
  "request_id": "req_0MHmB7xKQ2c9tVwLp4ZsYd3R"
}

Example values. Keys are invite only: see Authentication.

Examples

Scored ahead of time with version 1. Each verdict uses the pass/fail boundary in force now.

Staff engineer, excerpt

MARA VELDT, Staff Backend Engineer
Lumen Freight (Series C logistics), 2021 to present
- Led a team of 6 that rebuilt route pricing: p95 quote latency from 2.4 s to 180 ms, booking conversion up 11%.
- Designed the event pipeline (Go, Kafka) that now carries 1.9B events per day at 99.99% availability.
- Cut cloud spend by $1.3M per year by moving batch jobs to spot capacity with checkpointing.
Corvid Health, Senior Engineer, 2017 to 2021
- Built audit logging used by 140 hospitals; zero findings across 3 external compliance audits.
- Promoted twice in four years. Mentored 5 engineers, 3 of whom have since been promoted.

MOGS

LinkedIn summary, pricing lead
I build pricing systems for marketplaces. At Tallow, a home services marketplace, I designed the dynamic pricing model that raised take rate from 9% to 14% with no drop in retention, then led the 4-person team that rolled it out to 31 cities. Before that I was the second data hire at Quillfeather, where I built the forecasting stack that still schedules 2,000 support agents every week.
MOGS
Results-driven team player
Results-driven, passionate team player with a proven track record of success. Responsible for various tasks including meetings, emails, and projects. Excellent communication skills. Proficient in Microsoft Office. Seeking an opportunity to leverage my skills in a dynamic, fast-paced environment. References available upon request.
DOES NOT MOG

Try it

Scored examples show their result at once. Your own text needs an API key and spends 1 unit per run.

Formula

Resume Mog

Textresume-mog

Would a hiring manager stop skimming and book the interview?

Examples

Pre-computed, free

Scores text. No image.

Text627 / 10,000

Counted in characters after trimming. Never stored.

API keyGet a key

Kept in this browser tab only, never sent anywhere but the API.

Costs 1 unitCtrlEnter

Paste an API key to score your own input. Examples above are free.

Result

Pre-computed

MOGS

Staff engineer, excerpt, scored when the example was added. No request was sent.

POST /api/v1/mog

{
  "formula": "resume-mog",
  "text": "MARA VELDT, Staff Backend Engineer\nLumen Freight (Series C logistics), 2021 to present\n- Led a team of 6 that rebuilt route pricing: p95 quote latency from 2.4 s to 180 ms, booking conversion up 11%.\n- Designed the event pipeline (Go, Kafka) that now carries 1.9B events per day at 99.99% availability.\n- Cut cloud spend by $1.3M per year by moving batch jobs to spot capacity with checkpointing.\nCorvid Health, Senior Engineer, 2017 to 2021\n- Built audit logging used by 140 hospitals; zero findings across 3 external compliance audits.\n- Promoted twice in four years. Mentored 5 engineers, 3 of whom have since been promoted."
}

Response

no request

Pre-computed when the example was added. A live call returns the same results object plus cost, quota, and request_id.

{
  "results": {
    "resume-mog": {
      "mogs": true,
      "noul": 0.9762,
      "version": 1
    }
  }
}

Resume Mog

What it looks for

Input

Examples

Staff engineer, excerpt

LinkedIn summary, pricing lead

Results-driven team player

Try it