Vibe Coding for Marketers: From Concept to Prompt to Product
Turn GTM ideas into shipped tools in hours with outcome-first prompts, thin scaffolds, fast feedback.
Vibe coding is having a moment, and if you’re not building apps and sites this way, you’re falling behind. You can go from concept to live product in the same day. There’s no doubt that this is the future. If you want to learn it, or level up, this episode is for you. That’s why I’m pumped for this episode, and I hope you are too.
This week’s Stack:
1 video: Build at conversation speed with vibe coding (Jeff Garwood walkthrough)
1 prompt: Now to ace your next marketing interview
1 tool: Prototype UIs in minutes
3 resources: JobsGPT, Satya’s 5 operator prompts, and the AEO guide
3 jobs: One is “Vibe Growth Marketer” (seriously!)
Let’s dive in.
Workflow Walkthrough: From concept to prompt to product.
I sit down with Jeff Garwood to fix two pains marketers feel every week. First, a quick solve for messy meetings with CEO who have strong opinions: use ChatGPT as a neutral moderator to slow the room, surface trade-offs, and land decisions with fewer do-overs.
Then the main course: vibe coding. Jeff’s repeatable way to ship working tools fast without a dev team. He covers outcome-first framing, rapid scaffolds, precise prompts, and realistic sample data. He walk through his process by showing a networking app he built. And you can reuse this process across GTM work like campaign QA, content ops, partner workflows, win/loss synthesis, and onboarding checklists.
In this episode, we cover:
A five-minute ChatGPT moderator pattern for impossible expectations, late changes, and constant interruptions.
Vibe-coding fundamentals for marketers: outcome to thin scaffold to tight iterations with crisp language.
A reusable build pattern, shown with a networking helper you can adapt across GTM.
Debug & quality tips: change one thing at a time, make the model explain errors, test with edge-case data, keep visual “version control.”
Practical hygiene for shippable prototypes: simple cost controls, secrets management, and lightweight checkpoints.
Docs to grab:
Jeff’s Favorite Tools and Resources.
Prompt of the Week: Ace your next marketing interview
I've always said that the most prepared person gets the interview, not necessarily the most qualified. Here is how to make sure you are both the most qualified and most prepared person in your next interview.
Use this end-to-end prompt to turn GPT-5 into your personal coach and a mock hiring manager. It reverse-engineers the real business need, forges metric-dense stories, pressure-tests your answers, and spits out a printable day-of one-pager.
Paste it into your model of choice, upload your resume and the JD, then run it like a playbook. Save this, share it with a friend who’s on the hunt, and go ace that panel.
TITLE: Marketing Interview War Room: One-Prompt Prep (Upload Your Resume + JD)
ROLE
You are my CMO-level interview coach AND a mock hiring manager for {ROLE_LEVEL} {FUNCTION} at {COMPANY_NAME} in {INDUSTRY}. Your job is to (1) extract the real business need behind the role, (2) stress-test my stories with evidence, and (3) make me unflappable in the interview.
CARDINAL RULES (in priority order)
1) Truth only. If you lack facts, ask me targeted questions; never invent.
2) Evidence > adjectives. Prefer metrics, artifacts, and outcomes (pipeline $, ACV, CAC & payback, LTV:CAC, NRR/GRR, SQL:Opp conversion, win rate, ASP, channel ROI).
3) Coach hard. Be objective, specific, and occasionally adversarial; praise is fine, but actionable critique is mandatory.
4) Context-aware. Tailor to the function and level (Demand Gen, PMM, Growth, Lifecycle, Content, Ops), and the company’s stage and motion (PLG, sales-led, enterprise, mid-market, SMB).
5) No assistance for misrepresentation or using live AI during the interview.
INPUTS I WILL PROVIDE (I may paste or upload)
- {JOB_DESCRIPTION}
- {MY_RESUME_CV}
- {PORTFOLIO_LINKS_OR_WORK_SAMPLES} (optional)
- {DURABLE_SKILLS_INVENTORY} (bullets on soft skills, e.g., stakeholder management, analytical rigor, executive comms)
- {WINS_METRICS} (top 5 quantified outcomes)
- {COMPANY_BACKGROUND_BRIEF} (news, product pages, ICP, pricing—paste here; if you can browse, summarize last 12 months; if not, ask me)
- {TIME_AVAILABLE_MINUTES} (e.g., 20, 45, 90)
WORKFLOW (run end-to-end)
Phase 0: Calibrate (max 5 questions)
Ask only what’s required to resolve ambiguities (role scope, motion, team size, targets, tools). Keep it under 5 concise questions.
Phase 1: Company & Role Brief (≤250 words + bullets)
Synthesize: company model, growth motion, likely exec priorities, how this role ladders to revenue. Infer unstated needs and near-term “first 90 days” objectives. Flag risks and second-order effects (e.g., tracking debt, GTM fragmentation, data integrity).
Phase 2: Question Bank (three tiers)
A) 10 Most-Likely Questions tied directly to {JOB_DESCRIPTION} and {MY_RESUME_CV}.
B) 10 Challenging Questions a sharp hiring manager would ask after my first answers (mildly confrontational).
C) 10 Most-Challenging Questions designed to pressure-test scope, ambiguity handling, and executive presence.
Label each with: intent, what great looks like, pitfalls, and the metric(s) to cite.
Phase 3: Story Mapping (STAR→SIR ROI)
For each likely question, draft a 60–90 second answer using:
- S/T: Situation/Target (1 line),
- A: Actions (3 crisp bullets),
- R: Results with numbers (pipeline, revenue, cost saved, conversion deltas, time-to-value),
- “So-What”: business impact & lesson.
Where gaps exist, ask me for the missing numbers or artifacts.
Phase 4: Mock Interview (8 questions, realistic pacing)
Simulate an interview. Ask one question at a time. After each of my answers, do quick coaching: what was strong, what to tighten, what metric to add. Then show a “gold standard” rewrite in 4–6 sentences.
Phase 5: Scorecard & Gap Analysis
Score me 0–3 on: Clarity, Evidence Density, Outcome Orientation, Level Appropriateness, Stakeholder Savvy, Brevity.
List the top 3 weaknesses with micro-drills (e.g., “Rehearse CAC payback math on the spot; formula + sample calc.”)
Phase 6: Questions I Should Ask Them (10 non-obvious)
Generate second-order questions that reveal strategy, constraints, and success signals (avoid anything answered in the JD or on their site). Tie each to the business outcome it probes.
Phase 7: Take-Home / Presentation Readiness (if applicable)
If the JD hints at a take-home, produce a 1-page outline, success rubric, and a slide skeleton. Include a sanity checklist (ICPs, data sources, experiment design, guardrails).
Phase 8: 30/60/90 Outline (1 page)
Draft a pragmatic plan aligned to their motion: discovery, diagnosis, quick wins, instrumentation, and one needle-moving initiative with success metrics.
Phase 9: Day-Of One-Pager (printable)
- Top 5 stories (with metrics),
- “If asked about failure” story (with learning loop),
- 10 data points to keep in short-term memory (CAC, payback, key conversion deltas),
- 5 tailored closer questions,
- Logistics checklist (role scope confirms, comp bands, next steps).
FORMATS
- Keep briefs ≤250 words with skimmable bullets.
- Put answers in markdown with headings.
- Tables where useful (e.g., metric cheat sheet, scorecard).
- Bold any numbers you want me to memorize.
FAST MODE (if {TIME_AVAILABLE_MINUTES} ≤ 20)
Only output: Phase 1 brief (≤150 words), 5 most-likely questions with model answers, 3 closer questions, and the Day-Of One-Pager.
BEGIN when I provide inputs. If anything critical is missing, ask the minimum number of questions to proceed and then keep going.
I’ve added this to my The Ultimate ChatGPT Prompt Library for B2B Marketing Leaders notion doc. Check it out for 60+ more prompts.
The Ultimate ChatGPT Prompt Library for Marketing Leaders
I remember the first time I used ChatGPT for marketing. It was late, I was up against a deadline, and I needed a competitive analysis that would have taken me and my PMM a full day (or more) to pull …
Know someone who might find this prompt useful? Share it with them!
Tool of the Week: Design UI with AI
Google’s Stitch has me hooked. Ever since Jeff pulled it up in this week’s walkthrough, I’ve been obsessed. Type what you want (or drop a sketch) and it spits back multiple interface options you can tweak by chat, then export to Figma or grab clean HTML/CSS. It’s perfect for whipping up landing tests, onboarding flows, or dashboards you can demo the same day. And it’s free! No freemium, no daily credits, no upgrade for the good features. Free!
Try it here:
https://stitch.withgoogle.com/
AI Resource Roundup
JobsGPT | Marketing AI Institute: A focused resource for AI-assisted job searches. Steal the workflows to speed research, outreach, and interview prep across your own hiring funnel.
Satya’s 5 upgraded prompts for operators | LinkedIn Post: Five to run your week: smart meeting prep, real project status, deadline probability, time audit, and “no-surprises” 1:1 prep. Best with email/calendar/docs connected—set access rules and guardrails first.
The ultimate guide to AEO | Ethan Smith on Lenny’s Podcast: Practical playbook for “answer engine optimization.” Be cited where assistants look first, structure pages for entities, and track assistant share-of-voice as a new KPI.
Hot AI Jobs
Here are 3 roles at the AI × GTM edge. Yes, that first one is a real job that I found! Do you think we’ll see more like this?
City/Remote: Hybrid (San Francisco) or Remote (US)
Pay Range: $140K–$200K + equity.
Head of Developer Product Marketing at Inworld AI
Location: Mountain View, CA or Remote (US)
Pay Range: $160K–$260K + bonus + equity.
Product Marketing Manager at Anomalo
City/Remote: Fully Remote (US)
Pay Range: $150K–$200K + equity.
Ok, that’s it for this issue. It’s Sunday night, and I have to go pack. I’m heading back out to SF for the first time this year (I miss it!) to help one of my clients, BenchmarkIt, put on their big SaaS Metrics Executive Summit. It’s conference season!
See you in the next drop.
– Brandon