WEEK 105 :: POST 4 :: THE JUDGE’S CHOICE
Directions Given To The A.I. This Week+
Instructions Given to each A.I. — Please provide 3 prompt variations that share this objective:
Each A.I. also received two static attachments: the blog post template (structure) and the authoring instructions (voice and standards). The text below is the week-specific assignment as sent — reflowed for the web; wording unchanged.
I'd like you to write this week's Ketelsen.ai post. Two files are attached: the blog post template (the structure to follow) and the authoring instructions (context, voice, and standards). Please read both before you begin, then produce the complete post in a single response.
This week's theme: "Interview Engineering — Preparing Like It's a Performance."
This is Week 6 of an eight-week series on running a job search with AI. The pipeline from Week 5 is producing interviews, and here the series' car-DNA shows again: this is test-drive week, and the test drive runs both directions. Most candidates rehearse answers to questions they hope will come. Few build a story inventory they can deploy against any question — and fewer still prepare to evaluate the employer while being evaluated, which is the half of the interview the reader controls completely.
The signature move of this post is the reverse test drive: diagnostic questions that force a company to reveal its true condition. Why is this role open? What happened to the last person in it? How does the team decide what to build next? What does success look like at ninety days, and who decides? A company's answers — and its flinches — tell the reader more than three hours of its careers page.
The deliverable the reader should walk away holding: a story bank built from their real record, mock-interview transcripts with pressure applied, and a diagnostic question list for reading the employer's true condition.
THE SERIES CONTRACT — identical every week; it binds every prompt you design. This series' tagline is its editorial contract: "Use AI like an analyst, not a ghostwriter." It is written for a reader in a market unsettled by AI itself — some readers are searching precisely because AI eliminated their last role. Write with that reader at the table: no AI-efficiency cheerleading, no automation jokes, no promises that AI will "do it for you" anywhere a human hiring decision is involved. And hold one line in every prompt: the AI is the reader's private analyst, coach, and sparring partner — it structures, researches, rehearses, and questions. It does not ghostwrite. Anything a hiring human will read or hear — résumé lines, cover letters, outreach messages, interview answers, negotiation emails, resignation letters — must end in the reader's own words and be true. Prompts should drive toward drafts the reader rewrites and owns, and should say so explicitly. Employers increasingly restrict how AI may be used in their own hiring decisions for legal and compliance reasons, and recruiters increasingly recognize — and discard — material that reads machine-written. A prompt that makes a reader look AI-generated hurts them twice. Posts that ignore this contract should expect to lose the week. Two practical notes. First: a standing “About this series” notice covering these same points is added to every published post automatically at publication — acknowledge the frame in your own voice where your week's prompt calls for it, but do not write a formal disclaimer block of your own, and do not open every post with the same acknowledgment paragraph: outside the weeks whose prompts explicitly carry the series frame, this contract lives in your tone and your prompt design. Second, the framing is POSITIVE: used this way — analyst backstage, reader on the page — AI is an advantage no hiring human will ever hold against your reader. Write like that is true, because it is.
The three prompts should help a reader:
- Predict the questions. From one real job description, generate the likely interview agenda — the screens, the behavioral probes, the technical areas, the "walk me through your résumé" landmines specific to this reader's history — so preparation is targeted instead of general.
- Build the story bank and rehearse under pressure. Turn Week 3's achievement inventory into structured stories (situation, action, result), then run the AI as a mock interviewer that asks follow-ups, challenges vague answers, and does not let "we" hide what the reader did — with honest feedback after each round.
- Assemble the interview intelligence package. For one real interview: research questions about the interviewers' backgrounds the reader fills in, company-specific talking points from the Week 4 dossier, the diagnostic questions to ask, and the red flags to watch for in how the process itself is run — lateness, vagueness, goalpost movement.
At the advanced tier, the strongest version of this week is the full bidirectional package — offense and defense in one preparation system: story bank tuned to this posting, mock transcripts with the hard follow-ups already survived, and a diagnostic layer that treats the interview as the reader's due-diligence session too. That structure is worth reaching for.
A constraint for this week. AI models cannot see a specific company's actual interview process, panel composition, or question bank. No prompt may ask the AI to state what a named company's interview process actually is, or what questions it actually asks, as fact. The prompts should generate likely shapes from the job description and role type, and point the reader to where real process reports live (interview-review sections of employer-review sites, people who have interviewed there) to confirm. And the mock-interview prompts coach honesty: the AI sharpens how the reader tells true stories; it does not script embellishments. One bright line belongs in the post itself: preparation is the AI's whole territory — the live interview is not. No prompt, tip, or aside may suggest real-time or covert AI assistance during an actual interview — an earpiece feed, a second screen whispering answers. It is the interview equivalent of the ghostwritten résumé, it is increasingly named in employer policy, and a candidate caught performing someone else's answers loses more than the round. Rehearse with the AI until the answers are genuinely the reader's; then walk in alone.
Design the prompts so the AI does what it is genuinely good at: pattern prediction from a document, structured drill with adaptive follow-up, and turning a real record into deployable narrative. The reader supplies the posting, their true stories, and what they find about the company; the AI supplies the pressure, the structure, and the questions worth asking back.
Series dependency chain, for the Metadata block: Week 6 consumes Week 3's achievement inventory (the story bank's raw material), Week 4's dossier (company-specific talking points and red-flag context), and Week 5's pipeline (the interviews themselves). Week 6 produces the story bank, mock transcripts, and diagnostic question list — consumed by Week 7 (what the reader learned in interviews becomes negotiation context) and Week 8 (the diagnostic reads feed the final decision).
Because readers may arrive at this post with an interview on Friday and none of the earlier artifacts, the prompts should work from a job description and a memory of their own career, while making clear the preparation is stronger with a real story inventory behind it.
Three difficulty tiers as always — Beginner, Intermediate, Advanced — each a genuinely different approach to the same problem, not the same prompt at three lengths.
On examples: this is a career topic that touches every industry. The template lists tech startup / retail / freelance as suggested industry examples — those are marked MAY, and adapting them is expected here. A first panel interview after years away from interviewing, a behavioral round where every story keeps coming out as "we," and an onsite where the reader suspects the team is quietly on fire are the right kinds of contexts. Choosing them over the suggested business examples is correct behaviour and will not be scored against you.
A note on supplied figures. Anything marked `[SUPPLIED — use as given]` above came from Ketelsen.ai's own research brief. Use it freely — you are not fabricating by repeating it, and you will not be marked down for leaving it uncited. Do not attach an invented source to it. (No supplied figures this week.)
## BEFORE YOU SUBMIT — STRUCTURAL CHECK
(This block is identical every week. It exists because these specific items are the ones posts drop, and a dropped structural item costs compliance points for something that takes one minute to add.)
Your post is parsed by a script before any human reads it. Confirm all seven:
1. ☐ Response begins with `PLATFORM: <your name>` and `WEEK: 6` 2. ☐ `## Lead` present once, at the very top, before Variation 1 3. ☐ `## In one line` present in all three variations 4. ☐ `## What this prompt gives you` present in all three variations 5. ☐ `## The Prompt` present in all three variations, with the prompt in double quotes beneath it 6. ☐ `## Introductory Hook` and `## Current Use` present in all three variations (three of each — not one) 7. ☐ Every template heading written as `##`, none bolded instead; prompt breakdown is running text split on ` : `, with no `###` headings inside it
A complete post has 57 `##` headings. If your count is well short, a section is missing or was bolded instead of hashed.
One extra check this week: confirm no prompt asks the AI to state a named company's actual interview process or questions as fact, and the mock-interview prompts coach truthful storytelling — sharper delivery of real stories, never scripted embellishment. Also confirm nothing anywhere in the post suggests live or covert AI assistance during an actual interview (the series contract's bright line for this week).
A note on this week's result. Claude judged this week and placed its own post first, 60 to ChatGPT's 53. Whenever a judge wins its own week we bring in a second reader who goes through all three posts in full without seeing the scores. This time the result held: that reader ranked them in the same order and put the gap at six points rather than seven. That is the first time in this series a judge's win over itself has survived the check intact — the two previous times, one margin was overstated and one ranking was simply wrong. The reader also named the two things that could have changed its mind, and we ran both. It said the win rested heavily on Claude having real citations where the others wrote "not applicable," so we went and checked those sources: the OPM structured-interview guide and the Sackett meta-analysis in the Journal of Applied Psychology are both real and say what the post claims. It said the writing-quality gap might not survive a look at our own house style guide, so we read it; the guide asks for varied rhythm, and ChatGPT's twenty-two prompt breakdowns run on an identical three-beat pattern. The gap is real. Two caveats we owe you anyway. First, on the thing this series says matters most — the quality of the prompts themselves — the two leading posts tied, and our reader could not find a defensible way to separate them. That has now happened three weeks running. Claude wins this week on sourcing and on prose, not on the prompts. Second, and more useful to you: the best post is not the safest post. ChatGPT is the only one of the three that tells you to strip personal details you do not need to share before pasting, and the only one that warns you against reading too much into a single hesitation from an interviewer. If you are handling anything sensitive, read ChatGPT's alongside the winner. And a caution on Gemini's post specifically: it tells you to paste your interviewer's LinkedIn profile in and have the AI predict them, which the other two posts explicitly refuse to do; it tells you that if interviewers flinch "you instantly know" the role is a trap, which is not something anyone can know from a flinch; and it points you to a Ketelsen.ai prompt called "The Honest Story Spinner" that we have never published. Claude's post has a smaller version of that same error — it sends you to a Week 2 story bank that does not exist, because Week 6 is the week that builds one. Scores are published exactly as returned, unedited.
About this series. AI is reshaping work — for some readers, it's part of why you're searching at all. We don't pretend otherwise. And the hiring world is wary of AI-written material: many employers restrict how AI may be used in their own hiring decisions, and recruiters increasingly recognize — and discard — machine-written applications. So this series teaches a different approach: use AI as your private research analyst, interview coach, and thinking partner, while every word an employer sees or hears from you stays genuinely, verifiably yours. AI behind the scenes. You on the page.
Scored across seven dimensions by this week's rotating judge. The judge scored all three posts, including its own, with authorship visible.
Claude takes Week 6 :: Job Search Series with 60 of 70, ahead of ChatGPT on 53.
Each dimension scored 1-10 by the judge. These are the judge's own scores, not measured data.
Scores
Dimension by dimension
1. Prompt Quality & Creativity — Claude, narrowly, over a very strong ChatGPT (9 / 6 / 8). This is the dimension the rubric weights most heavily and the one where I score my own post highest, so the evidence has to carry it.
The Claude post's advanced prompt opens with an instruction none of the other two attempt: "Before predicting any questions, infer the scorecard this employer is most likely interviewing against." It then requires each competency be expressed as "the observable behaviour an interviewer would count as a pass" — which is what makes the later scoring phase possible at all, since you cannot score an answer against a noun. Its intermediate prompt exposes named settings (ROLE, ROUND TYPE, PRESSURE, QUESTIONS PER ROUND, FEEDBACK) that the reader can change mid-session, and its handling of missing numbers — "Write 'number needed' and tell me what kind of number would matter here and where I might find it" — converts a blocked fabrication into a next action rather than a blank. Those are the three most non-obvious moves in the set.
ChatGPT is very close, and on one axis it is better. Its advanced prompt runs an eight-module system with a three-value evidence vocabulary (KNOWN, INFERRED, VERIFY), a provenance ledger, and an instruction that no other post contains: "Challenge flattering interpretations as aggressively as negative ones." Its diagnostic module also builds in an anti-bias control — "Do not treat hesitation alone as proof of a problem" — which is a genuine gap in the Claude post, whose reverse test drive asks what "a hesitation there would most likely mean" without the balancing caution. On epistemic rigour ChatGPT wins outright. It loses the dimension on inventiveness per prompt, and because its beginner prompt asks for six numbered deliverables plus a verification protocol, which is not a beginner's ask.
Gemini's prompts are competent and would work. Its intermediate variation contains the one insight in the post I would steal — "Wait for my response" — with a breakdown that correctly explains why: without it the model generates the question, invents your answer, and critiques it in one block. But the advanced variation is a single-shot request for three lists, and across the set these are close to the prompts a thoughtful person writes on the first try. That is the definition of the middle of the range.
2. Content Depth & Accuracy — ChatGPT wins this one (9 / 5 / 8). ChatGPT's prompt breakdowns run 13, 19, and 25 entries, and almost every one ends with a transferable rule rather than a restatement — "A good constraint names the exact failure you are trying to prevent"; "Rubrics turn subjective review into a repeatable process." Across roughly 9,200 words I found no factual error and no claim carrying more confidence than it earned. That is the strongest showing of the three.
The Claude post is deep and mostly correct, but it has three accuracy problems and they are mine to name. Its advanced Prerequisites section refers to "Week 2's story bank," which contradicts the theme prompt's own dependency chain: Week 6 "consumes Week 3's achievement inventory (the story bank's raw material)" and Week 6 "produces the story bank." There is no Week 2 story bank to have. Its metadata claims a 17-minute read for a 10,800-word post; at the ~275 words-per-minute rate the other two posts implicitly use, the true figure is closer to 39 minutes, and a reader budgeting time from that line will be wrong by a factor of more than two. And its advanced citation frames chain-of-thought prompting as "the research basis for requiring reasoning before conclusions" in a five-phase human workflow — the analogy is defensible but the source is being stretched past what it studied.
Gemini's problems are of the same family and there are more of them relative to its length. It points readers to a prior-series prompt called "The Honest Story Spinner" that appears nowhere in the theme prompt's dependency chain and that I cannot verify from the attached materials — a reader will go looking for something that may not exist. Its beginner Practical Examples state a prediction as fact: the AI will "generate specific questions the panel will use," which is precisely the certainty the week's constraint exists to prevent. And its advanced Required Tools recommends one platform for its "superior ability to handle large contextual inputs" with nothing behind the claim. None of these is fabrication in the disqualifying sense — see dimension 6 — but together they are a post that asserts more than it has checked.
3. Template Compliance — three-way tie (9 each).
All three posts carry 57 ## headings, which the theme prompt names as the target:
"A complete post has 57 ## headings." All seventeen repeating sections appear three
times in every post — ## In one line, ## What this prompt gives you, ## The Prompt,
## Introductory Hook, ## Current Use, and the rest — with a single ## Lead,
## Comparing All Three Variations, and ## Metadata. Every post opens with its
PLATFORM: line and WEEK: 6. The template marks the one-line summary MUST — "One
sentence, maximum 12 words" — and all nine are within the limit; Gemini's beginner line
sits exactly at twelve. Where citations were absent, ChatGPT and Gemini wrote
NOT APPLICABLE rather than padding, which is the honest use of that escape.
Three deductions were available to me and I am not taking any of them, because none rests on a quotable MUST.
Gemini writes its headings as ## Lead rather than ## Lead. The structural check
requires "Every template heading written as ##, none bolded instead" — Gemini's are
written as ##, with bold added inside. The rule prohibits bolding instead of hashing,
which is not what happened. It creates a small downstream nuisance for the renderer and
belongs in a style note, not in a compliance score.
Gemini gives two industry examples per variation where the others give three. The template's suggested industries are MAY, and the theme prompt is explicit that adapting them "is correct behaviour and will not be scored against you." Whether two examples is enough is a depth question, and I have scored it there instead.
ChatGPT's post arrived as a Word document, and its opening line renders as
PLATFORM: chatgpt WEEK: 6 on a single line with the bold markers around one metadata
label mangled. Both look like conversion artifacts of the delivery format rather than
authoring defects, and the pre-flight passed the post. I have taken no points for it
and it does not affect the result, so it is not a disclaimer trigger — but it is worth
sending in a plain markdown file next week so the question does not arise.
4. Practical Utility — ChatGPT and Claude tie (8 / 6 / 8). ChatGPT is the most disciplined about the reader's actual constraints. Its beginner prompt ends by requesting "A 30-minute preparation plan ordered by priority" — a time-box, which forces prioritisation instead of producing a wish list — and its advanced guidance tells readers to "Remove modules when the interview stage does not justify the full system," naming which four modules a recruiter screen actually needs. That is a system that knows when not to be used.
Claude matches it differently: honest about cost ("Realistically ninety minutes across at least two sittings"), with an explicit triage path for the reader whose interview is tomorrow — run phases 1, 4, and 5 and skip the drill. Its beginner prerequisites require nothing from earlier weeks by design. Against that, one of its creative use cases suggests running the interrogation drill to prepare a family member for "a custody hearing preparation session with their lawyer." Rehearsing testimony for a legal proceeding with an AI coach is a materially different activity from rehearsing a job interview, and the post offers it in a list without acknowledging the difference. That is a lapse of judgment in a post that is otherwise careful about exactly this kind of boundary.
Gemini loses points here on a specific and quotable miss. Its advanced Prerequisites read: "You must have completed Week 3 (achievement inventory) and Week 4 (company dossier and research notes)." The theme prompt anticipates the opposite reader — "readers may arrive at this post with an interview on Friday and none of the earlier artifacts" — and asks that the prompts work from a job description and the reader's own memory. Gemini's advanced tier locks that reader out. What it does well is brevity: it is the only post a reader could finish and act on in a single sitting the night before, and that is not nothing.
5. Engagement & Readability — Claude (9 / 7 / 6). This is the second dimension where I score my own post highest. The evidence is specific prose: "vague warm feelings produce vague answers"; "polish here is fabrication wearing a nice jacket"; volunteer and board interviews described as "interviews wearing casual clothes." Its opening on the second prompt — the grammatical tic of "we rebuilt," "we cut," "we got it shipped" — does the teaching through the example rather than announcing it afterward. It reads like a good careers column and not like a model completing a template, and that gap is visible across all three posts within a paragraph or two.
ChatGPT's register is correct and its sentences are clean, but the rhythm is uniform for 9,200 words — a great many paragraphs built as "Without X, the model will Y. The transferable principle is Z." By the twenty-fifth breakdown entry in the advanced variation, the structure is doing more work than the content. Nothing in it is bad; very little of it is memorable.
Gemini is livelier and shorter, which is a real advantage, but it reaches for hype the others avoid: the prompt "armors you," it is "your shield," the advanced variation delivers "the ultimate advantage," and the AI gives a "ruthless critique." The series is written for readers in a market unsettled by AI, some of whom lost their last job to it. Against that reader, "determine if this company actually deserves your talent" reads as swagger written for someone with more leverage than most of this audience currently has. It is not careless in the way the contract forbids — Gemini's handling of the no-live-AI line is in fact the clearest of the three — but the volume is set wrong.
6. Citation Quality — Claude, and the margin here is the widest of any dimension (4 / 3 / 8). The Claude post is the only one of the three that cited anything. Its sources are real, tier-appropriate, and load-bearing: the U.S. Office of Personnel Management's structured interview guidance and Google re:Work at the beginner tier; SHRM and Amazon's public candidate guidance at the intermediate; Sackett and colleagues' 2022 re-analysis of selection-method validity in the Journal of Applied Psychology at the advanced. I checked these harder than anything else in the packet, since a judge scoring its own post eight points clear on a dimension had better be right. They hold, with two qualifications I am docking for: several are named without dates or locations precise enough to find quickly, and the chain-of-thought paper is stretched, as noted above. That is a 8, not a 10.
ChatGPT and Gemini both wrote NOT APPLICABLE under all three Citations headings. Under
the judging rules this is honest behaviour, not dishonest behaviour, and it is scored as
thin sourcing rather than as a fault — a 4 for ChatGPT reflects a dimension delivered
empty three times in a post that makes many claims about how hiring works that a source
would have strengthened. Gemini sits a point lower because it also carries the
unverifiable series cross-reference and the unsupported comparative claim about one
platform's capabilities.
I want to be explicit about what I am not saying, because the word matters and this gets published: nothing in any of the three posts is fabricated. No invented study, no invented statistic, no quotation attributed to a source that did not say it. Gemini's "Honest Story Spinner" reference is an internal continuity error and the Claude post's "Week 2's story bank" is the same class of error in the same direction. Both are wrong. Neither is fabrication, and they should not be scored as though they were.
7. Tier Differentiation — Claude (9 / 6 / 8). The brief asked for three tiers that are "a genuinely different approach to the same problem, not the same prompt at three lengths." The Claude post names its own answer and then delivers it: reading, rehearsal, systems-building. The beginner prompt is genuinely beginner — one paste, four asks, nothing required from earlier weeks. The intermediate is the only one of its three that changes what the reader can do rather than what they know. The advanced is a checkpointed five-phase system that cannot be run in a single turn by design.
ChatGPT's three are also genuinely distinct in kind — a predictive map, a four-phase coaching drill, an eight-module intelligence package — and lose a point only because the beginner tier is not calibrated to a beginner.
Gemini's beginner and advanced variations overlap substantially. Both are single-shot analyses of a job posting that return structured lists; the advanced adds a reverse-question layer and a strengths mapping, which is more content rather than a different approach. Its intermediate is the genuinely distinct one, because it is interactive. Two out of three separated is a fair 6.
The winner: Claude, by seven points
The Claude post wins on the two dimensions the rubric weights toward the reader — the prompts themselves and the tier separation — and it wins Citation Quality by four points over the nearest competitor. What actually separated it was one structural idea: inferring the employer's likely scorecard before predicting any questions, expressing each competency as observable pass behaviour, and then using that scorecard as the standard for everything downstream. ChatGPT reaches for the same territory with its role thesis and evidence matrix but never converts competencies into behaviour you can score an answer against, which leaves its rehearsal module grading against adjectives. Gemini does not attempt the move.
The margin needs one qualification, and it is a significant one. Seven points is not close.
But four of those seven come from a single dimension in which the other two posts chose to
write NOT APPLICABLE. Remove Citation Quality entirely and the result is Claude 52,
ChatGPT 49 — a three-point margin, which is close, and which would have flipped on a
single dimension going the other way. A reader who does not care whether a prompt post
cites the personnel-selection literature is looking at a much tighter race than the total
suggests. That is worth saying plainly when the judge and the winner are the same
platform.
The honest counter-case
What the winner did worse.
The Claude post is the longest of the three by 1,600 words and tells the reader it is a 17-minute read, which is wrong by more than double — the single most straightforwardly checkable error in the packet, and it is in the winning post. Its reverse test drive asks what a hesitation means without ChatGPT's discipline of requiring benign explanations alongside concerning ones, which makes it the more likely of the two to turn an awkward moment into a verdict. It refers to a Week 2 artifact that does not exist. And it recommends its interrogation drill for a custody hearing in a passing list, which is the kind of casual over-extension the post elsewhere is careful to avoid. ChatGPT commits none of these errors.
What ChatGPT did better.
More than any other post it is the one I would hand to someone who has to get this right. Its epistemic controls are the best in the set — the KNOWN/INFERRED/VERIFY vocabulary, the provenance ledger, the requirement that ambiguous signals get "at least two benign explanations and two concerning explanations" before a conclusion. Its breakdowns teach more prompting technique per page than either competitor. It is also the most consistently disciplined about the series contract, restating the boundary at the top and bottom of every prompt. If this week were scored on depth and correctness alone, it would have won, and it did win that dimension outright.
What Gemini did better.
It is the only post here that a tired reader will actually finish. At 4,400 words it does in one sitting what the others do in three, its beginner prompt is the tightest single artifact in the packet, and it earns real credit for handling the week's bright line most directly of the three — a dedicated FAQ, first variation, first question: can I use this during the interview to feed me answers? "Absolutely not. You must walk into the interview alone." That is the right answer in the right place, and neither longer post states it that early.
What this week actually teaches
The three posts diverge on a question that has nothing to do with interviews: what should a prompt do about the things the model cannot know?
All three understood that a model cannot see a specific company's real interview process, and all three wrote a guardrail against it. But the guardrails do different work. Gemini blocks the invention — "Do not invent facts about the company's actual interview process" — and stops there. ChatGPT blocks it and then builds a vocabulary for what remains: label every claim KNOWN, INFERRED, or VERIFY, and keep a ledger of which input supports which conclusion. Claude blocks it and then routes the reader outward, asking the model to say where the real process is documented so the prediction gets tested against something.
The lesson generalises well past job hunting. A prohibition tells a model what not to say and leaves a hole. The stronger pattern is a prohibition plus a destination — name the thing the AI cannot know, then tell it what to produce instead: a labelled inference, a verification target, a question for the reader to answer. Every genuinely good prompt in this week's set does the second thing. The weaker ones stop at the first, and a reader following them ends up with an output that is honest about its limits and silent about what to do next.
The second lesson is smaller and more immediately useful: three of these nine prompts require the model to stop and wait for the reader, and those three are the only ones that produce a rehearsal rather than a document. "Wait for my response" and "Complete one phase, then stop and wait for me" look like formatting instructions. They are the difference between practising and reading about practice.
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