AI Startup Sprint × GStackTHU·FRI · 95P · EN
THU · ONE DAY TO A PRESENTATION001 / 95

Thursday — One Day to a Presentation

Today, in one day, you build everything you need for tomorrow’s 5-minute talk. Not a finished app — a story that holds together + evidence + one screen worth showing.

Interrogate the problemCut scopeCollect evidenceOne demo pathDesign the talk
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Today’s timetable

09:3015:00330 minutes — only 185 of them produce anythingA Interrogate65 minB Cut Scope40 minLunchreplies come inC Demo40 minD The Talk40 min
TimeBlockWhat you hold when it ends
10:05–11:10A — Interrogate the ProblemOne-sentence hypothesis
11:10–11:50B — Cut Scope + Send Questions1 feature locked · 2 questions sent
11:50–12:50Lunch (when the replies come in)
12:50–13:30C — One Demo PathA working screen or a mockup
13:50–14:30D — Design the Talk + Pair Rehearsal5-slot script

The gstack intro and install were finished on Monday — 10:00–10:05 is only a show-of-hands check. Grey rows: intro · lecture · rehearsal · wrap-up

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What gets graded tomorrow

Not “what did you build” — “what did you find out”.
The demo is not the star of the show. It is evidence.

A talk that fails

The screens are pretty, but “who will actually use it… we’re not sure yet”

A talk that works

The mockup is ugly, but “we asked 2 people, and one of them was already spending money at exactly this point”

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Honestly — this is outside our course

  • Business models are not part of this course’s official curriculum. You will not be graded on BM theory tomorrow.
  • What gets graded instead: how specifically you narrowed the problem, how much you touched reality, and whether you are honest about what you could not do
  • So what you learn today is not “startup methodology” — it is how to use AI to raise the quality of your judgment. And that is exactly our course
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Four things you make today

① One-sentence hypothesis

Who · when · why · what loss

② 2 pieces of evidence

A record of asking real people

③ One demo path

3 clicks is enough

④ 5-slot script

The skeleton that fills tomorrow’s 5 minutes

These four are the entire day. The urge to build a fifth thing is today’s biggest risk.

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Show of hands — three questions

  1. Q1 Who has written 500+ lines of code this semester?
  2. Q2 Who has explained their own idea to a stranger?
  3. Q3 Who then saw that person not just say “I need that too” but be already doing something about it?

The speed at which the hands drop is today’s whole lesson.

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The one claim of these two days

When the cost of building approaches zero, all the value moves to “the ability to choose what to build”.

you are hereCost of building — code, tests, docsValue of choosing — picking problems, cutting scope, saying noafter AIbefore AIBuilding used to be hard.So people who could build were rare.Building got cheap.So choosing what to build became everything.
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Today’s tool — install it, and paste if it won’t work

Install on Mon or Tue (paste from the workbook)Type $officeOffice Hours shows upnothing / not installedTrack A · defaultCall it: $office-hourstype $off and pick from the listTrack B · safety netPaste prompts P1-P8 from the workbookzero install · zero setup · always worksSame output either way. Track B is not a punishment — Track A just saves you the pasting.

You finish the install on your own, Monday or Tuesday — no commands to memorise: paste one paragraph and Codex runs it for you. If it does not work, you go with the workbook prompts. Whichever you use makes zero difference to today’s grade.

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What is gstack — 90 seconds

“It turns Claude Code into a virtual engineering team — a CEO who rethinks the product, an eng manager who locks architecture, a designer who catches AI slop, a reviewer who finds production bugs, a QA lead who opens a real browser…”README.md, github.com/garrytan/gstack

Open source, MIT-licensed, released by Garry Tan (CEO of Y Combinator). It does not give the AI new abilities — it is a rulebook that puts roles on it.

The quote says “Claude Code” because that is the author’s default environment. Ours is the OpenAI Codex app (desktop). gstack supports Codex, but recognition inside the app is not guaranteed — which is why the prompt track is our default.

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Without it vs with it

Just asking

“Build me a booking app”

→ 300 lines, instantly
→ “no, that’s not what I meant…”
→ another 300 lines
binned two hours later

With a role on it

You are a cold-blooded investment analyst. No compliments. Attack my problem definition first”

→ 6 questions
→ “That is hearsay. It is not your own experience”
the hypothesis changes

All gstack does is pre-write the sentence on the right for 50 different situations. There is no magic. Which is exactly why we can copy that sentence and use it ourselves.

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Almost all of it is Markdown

“gstack gives Claude Code a persistent browser and a set of opinionated workflow skills. The browser is the hard part — everything else is Markdown.ARCHITECTURE.md

In other words, one command = one Markdown file. After install, the prompts sit in plain sight inside .agents/skills/. It is not a black box — which is why “copy and paste” works exactly as well as the original. That is the basis of today’s default track.

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Open it yourself — 5 minutes is enough

github.com/garrytan/gstackMIT license · full source public · click to open in a new tab

Open exactly two things.

  • ETHOS.md — what this tool believes. A 10-minute read
  • Any folder → SKILL.md — the “wait, that’s all?” moment is today’s core. It is just a Markdown prompt
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Watch the maker demo it himself

How to Make Claude Code Your AI Engineering Team — Y Combinator · Garry Tan
Click to play it right here (from the 2:45 mark)youtube.com/watch?v=wkv2ifxPpF8&t=165s

If you are offline, open the URL directly — youtube.com/watch?v=wkv2ifxPpF8

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In the video, watch for these three things only

  1. The questions come first — the scene that starts with questions, not code. You will live through the same thing in Block A today
  2. The roles switch — the same AI is a CEO, then a reviewer. Because a human assigns the role
  3. The human rejects — the scene where he takes a proposal and says “no”. That is everything you will learn today

Your eyes will drift to the flashy automation, but what we are stealing today is ① and ③.

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Install — paste this paragraph exactly

Windows / WSL2 Instructions:
First, check the current Windows environment. If WSL2 is installed, run the installation procedure below inside WSL2. If WSL2 is not available, verify whether this project officially supports PowerShell. Adapt any macOS/Linux-specific commands for Windows as needed, and if any step fails, identify the root cause and resolve it. Do not overwrite or delete any existing **gstack** files in the user's home directory without explicit permission.

# Copy everything inside the box below, paste it into the Codex chat, and press Enter. Run these in order. If anything fails, find the cause and fix it. 1) If bun is missing, install it: curl -fsSL https://bun.sh/install | bash 2) git clone --single-branch --depth 1 \ https://github.com/garrytan/gstack.git ~/gstack 3) cd ~/gstack && ./setup --host codex 4) If it asks about the naming scheme, choose option 1 (it does not affect Codex) # When it finishes, restart the Codex app and type $office in the chat Office Hours YC Office Hours — two modes. (gstack) ← if this appears, it worked

Do not shorten it, do not edit it — paste it exactly. If it fails, go to the workbook prompts — same results, and zero effect on your grade.

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On Windows — you need 3 more things

What you needMac (instructor · some students)Windows
ShellTerminal — already thereInstall Git Bash separately
git-scm.com/download/win
Node.jsNot neededNeeded nodejs.org
buncurl -fsSL https://bun.sh/install | bashIn PowerShell
powershell -c "irm bun.sh/install.ps1|iex"
Running the installTerminal, as-isIn a Git Bash window (not PowerShell)
  • Shortcut — if Node.js is already there, one line works on both: npm install -g bun
  • bun needs Windows 10 1809 or later

Honest advice: starting from zero on Windows does not finish in 10 minutes. In class, go with Track B (paste the prompt) and install after school. Tool usage carries zero points in today’s grading.

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You invoke with $, not a slash

As written in the gstack docs

/office-hours · /review
— that is Claude Code notation

In the Codex app, actually

Type $ in the chat and a list appears
Pick from the list — no names to memorise

  • Type just $off and pick Office Hours. Same method for $qa · $review
  • The names in the list are short (Office Hours, Qa, Review). The folder names carry a gstack- prefix, but you can ignore that when picking
  • Even without calling the name, Codex sometimes picks the skill up on its own when the content matches (implicit invocation)
  • Watch for lookalikes — Gstack Openclaw Office Hours is a variant for a different agent. What we use is plain Office Hours

For readability, this guide also writes /office-hours. In the app: $off → pick from the list. If nothing appears, paste the workbook prompt — the result is the same.

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Six things that change on Codex

Self-study — we skip this in class today

FeatureClaude CodeCodex (us)
Multiple-choice questionsAskUserQuestion buttonsNone. Comes out as a “Decision Brief” in prose
/careful /freezeReal blocking via hooksNo hooks. Advisory wording only
Second opinion/codexgstack-claude (needs the Claude CLI)
Parallel expert reviewRunsRemoved
Invoking a skill/name$name or auto-detection
In the app (GUI)Personal skills may not appear in the list (open issue)

The second row matters most today — on Codex, the guardrails block nothing. We come back to this later.

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ETHOS — the one principle you need today

“AI models recommend. Users decide. This is the one rule that overrides all others.ETHOS.md

“Two AI models agreeing on a change is a strong signal. It is not a mandate.

The top principle of gstack’s three. It is today’s tiebreaker for every conflict — “the AI told me to” is not a reason.

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AI is not your CTO

What the AI does

Questions, alternatives, drafts, reviews, tireless checking

What you do

Choose the problem, decide the scope, approve and reject, secure the evidence, take the responsibility

If you insist on the CTO label — then you are the CEO. And the CEO’s job is to reject.

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Today’s commands — six is enough

BlockDefault — paste the workbook promptOptional — if installed
A Interrogate the problemP1 six-question prompt$office-hours
B Cut scopeP3 scope-cutting prompt$plan-ceo-review
C MockupP5 self-contained HTML prompt$design-html
C Code checkP6 two-pass checklist$review
C Screen checkP7 — make your neighbour click through it$qa
C Cross-reviewSwap code with your neighbourNot today — your neighbour’s eyes are faster

The left column alone completes today. The right column is a bonus. The repo has 50+ commands; today we use six.

/office-hours /plan-ceo-review /design-html /review /qa gstack-claude

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Absolutely not this morning

Banned

Building a new feature

Polishing the design

Agonising over the tech stack

Window-shopping every gstack command

Allowed

Rewriting the problem sentence

Asking a real person

Deleting features

The morning’s two hours succeed or fail on how much you deleted.

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This is not a development tool

Finish these before writing a line of codeIs this worth building?a skeptic grills you for 30 minutesoffice-hoursWhat do you cut?if it will not fit in 40 minutes, cut itplan-ceo-reviewWhat do you check first?ask people, not tools(2 contacts)Get these wrong and nothing below can save youthenCode — the part that got cheapAI handles this side for youdesign-htmlone screenreviewthe risksqaclick through itshiprelease · not todayThe value of gstack is not that it writes code for you.It is that it stops you from building what should not be built.6 of 54 skills todayThe left side is today. The right side is what the tool mostly handles for you.

Building the app now takes a single afternoon. The hard part is choosing what to build — and you do that with questions, not code. The three lines on the left are this entire morning.

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At a glance — who does what

One AI — you just swap the role it playsTHINKThe Skeptic“Is this worth building?”office-hourswhen · before any codePLANScope Cutter“What do we cut?”plan-ceo-reviewwhen · right before buildingBUILDDesigner“Make me one screen”design-htmlwhen · nothing to show yetREVIEWReviewer“What is risky here?”reviewwhen · before you commitTESTQA Lead“Click like a user”qawhen · before anyone sees itSHIP · optionalRelease“Ship it safely”shipwhen · optional · not todayThis straight line is a lie — real work loops back from hereSafety toolscareful · freeze · guardThey pause before dangerous commands (rm -rf, DROP TABLE) — but in Codex they have no enforcement. Your real safety net is frequent commitsPeople make the decisionsChoosing what to build · approving and rejecting proposals · gathering evidence — AI cannot do these threeAI models recommend.Users decide.Friday grading linkPresent AI-written lines as your own and you lose Honesty points (15). Name one AI suggestion you rejected and you gain.The gstack repo has 54 SKILL.md files (the README counts 31 — we cover that gap too). This diagram shows 6 of them
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Skill catalogue — when to use what

The next 8 slides are reference. In class we only walk through ① and ②. ③–⑥ and the “5 worth knowing” are material you open when you need it — not exam material.

gstack’s skills are laid out in the order you build a product. Don’t memorise them — just take away “ah, this stage has one of these”.

StageFlagship skillOne lineToday
Thinkoffice-hoursPressure-test the idea before code✅ Block A
Planplan-ceo-reviewDecide whether scope grows or shrinks✅ Block B
Builddesign-htmlOne screen, made real✅ Block C
ReviewreviewInterrogate my code like a stranger’s✅ Block C
TestqaClick through it like a user✅ Block C
Ship·Reflectship retroDeploy · retrospectNot today
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① office-hours — pressure-test the idea

When

Before a single line of code. The moment you think “should I build this?”

Why

Thinking alone, you interpret everything in your own favour. You need a cross-examiner

How — it fires 6 questions one at a time, and re-asks until your answer gets specific.

you ▸ You are a cold-blooded early-stage investment analyst. No compliments. Idea: helping students find someone to eat with during free periods Skip product design — attack the problem definition first. ai ▸ Q1. What evidence do you have that someone would be genuinely stuck without this? you ▸ My friends say it’s annoying. ai ▸ That is hearsay. Has anyone already spent time or money on it?

Where it helps: it tells you in 10 minutes that you mistook a solution for a problem. Alone, that takes two days.

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② plan-ceo-review — decide the scope

When

After deciding what to build, before building it

Why

Left alone, AI always expands. A disaster for anyone with a deadline

Howname one of the 4 modes. Skip it and it drifts toward expansion. EXPANSION (grow) · HOLD SCOPE (freeze) · SCOPE REDUCTION (cut — us, today)

you ▸ Mode: SCOPE REDUCTION Constraints: 40 minutes today, working alone Success metric: the single scene I show in tomorrow’s talk Cut everything that does not serve it. Keep a list of what you cut.

Where it helps: the cut list becomes your “What we got wrong” material, verbatim.

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③ design-html — one screen, made real

When

When there is nothing to show yet. The night before the talk

Why

Words alone are not believed. One clickable screen beats ten slides

How — demand HTML that opens as a single file. Name the 4 states (empty/loading/results/error) or it will not look real.

you ▸ Build a one-page self-contained HTML file. No external CDNs or images. It must open as a single file. Required states: empty / loading / results / error Fill it with realistic fake data — real names, real sentences. No lorem ipsum.

Where it helps: a presentable demo in 40 minutes, no backend. Most of you take this path today.

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④ review — my code, through a stranger’s eyes

Self-study — we skip this in class today

When

Right before committing code, or the pre-talk check

Why

You cannot see your own code. And you especially cannot see code an AI wrote for you

  • How — two passes: critical findings first, quality later
  • Good at catching: places where model-generated values get saved or sent with no validation
  • What humans miss: a new state value whose consumer lives in another file — invisible in the diff
you ▸ For every finding, quote the exact code as evidence and rate your confidence out of 10. Do not fix anything — list only.

Careful: left alone it fixes things on its own (commits are qa’s job) — hence “do not fix”.

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⑤ qa — click through it like a user

Self-study — we skip this in class today

When

Right before showing the demo to anyone else

Why

Unit tests check “is my thinking right”; QA checks “what the other person experiences”. They are not substitutes

How — normally it opens a real browser, clicks around, and keeps screenshots. Today, a human is faster.

Today’s recommended method — hand your laptop to your neighbour, state only the goal with zero explanation, and let them click for 3 minutes. Watch where they stall.

Better than the tool — because a person stalls exactly where an explanation is needed.

Careful: never run it on a deployed live service — it is a real browser with real cookies and sessions, so payments and deletions really fire.

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⑥ safety tools — and their limits

Self-study — we skip this in class today

SkillWhat it doesOn Codex
carefulAsks before rm -rf, DROP TABLE, force-pushNo hooks, so no enforcement.
Only advisory wording appears
freezeLocks edits to one folder
guardBoth at once

“The guardrails are accident prevention, not access control.”docs/skills.md

Even on Claude this was “accident prevention”, never “security”. On Codex, even that does not engage. Today the only real defence line is one thing: commit often.

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Not used today — but 5 worth knowing

Self-study — we skip this in class today

SkillWhen to use itWhy not today
specTurn “something like this, roughly” into an executable document5 stages — does not fit in 40 minutes
investigateBugs. Never fix without a causeToday there is no time even to create bugs
csoSecurity audit (OWASP + threat model)A mockup has nothing to audit
shipTests→review→PR. Stops on failureWe do not go as far as deployment
retroRetrospect a week in numbersTwo days is too short

These 5 pay off on a personal project after the semester. Especially the iron rule of investigate“no fix without a cause” — a discipline you can use with no tools at all.

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Block A — Interrogate the Problem (65 min)

  1. 30 min solo — interrogate your own idea with $office-hours or the workbook P1 prompt
  2. 20 min in pairs — attack each other’s hypotheses (10 min each)
  3. 15 min whole class — only the 4 people whose hypothesis changed present + instructor walk-around wrap-up

Target output: one-sentence hypothesis + 1 riskiest assumption. Get those out and Block A has succeeded.

/office-hours

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/office-hours — what it does

A YC partner office-hours session, turned into a command. It pressure-tests the idea before a single line of code gets written.

“Push on each one until the answer is specific, evidence-based, and uncomfortable. Comfort means the founder hasn’t gone deep enough.”office-hours/SKILL.md

Two Codex-app cautions: ① No choice buttons — the questions arrive as prose in the body, and you answer in your next message. ② Installed: $office-hours. Not installed: paste workbook P1 as-is. The result is the same.

/office-hours

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What you actually type

# Installed: $office-hours / otherwise paste the P1 prompt and start you ▸ $office-hours Problem: students in my department can’t find anyone to eat with during free periods, so they settle for snacks alone at the campus shop. Skip product design — attack the problem definition first. No compliments. ai ▸ Q1. What is the strongest evidence that someone would be genuinely stuck if this went away? (“it would be nice to have” is not demand) you ▸ My friends said it’s annoying. ai ▸ That is hearsay. It is not your own experience. Has anyone already spent time or money on this problem?

/office-hours

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Q1 — is the demand real

“What’s the strongest evidence you have that someone actually wants this — not ‘is interested,’ but would be genuinely upset if it disappeared tomorrow?”

Not demand

“My friends said it would be nice”

“80% said they need it in our survey”

“They say the market is huge”

Demand

Someone is already spending money or time

You can name — by name — the person who would be stuck without it

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Q2 — how are they coping right now

“What are your users doing right now to solve this problem — even badly? What does that workaround cost them?”

Red flag: “Nothing exists. That’s why the opportunity is so big.”

If truly nobody is doing anything, that problem does not hurt enough. One person hand-building their own spreadsheet is a stronger signal than 100 survey responses.

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Q3 — name that person

“Name the actual human who needs this most. What’s their title? What gets them promoted? What gets them fired? What keeps them up at night?”

Red flag: category-level answers — “university students”, “students living off campus”, “small business owners”.

“These are filters, not people. You can’t email a category.office-hours/SKILL.md

Minimum bar: resolution like “a 300-level business student with a 3-hour Tue/Thu gap between lectures and a 90-minute commute”.

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Q4 — the narrowest wedge

“What’s the smallest possible version of this that someone would pay real money for — this week, not after you build the platform?”

Extra pressure: what if it created value with the user doing nothing at all? No login, no setup, no integrations.

The answer here becomes the only screen you build in Block C. Write it down word for word.

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Q5·Q6 — observation, and 3 years out

Q5 Observation

“Have you watched someone use it without helping? What surprised you?”

“I ran a survey” is not an answer — Surveys lie. Demos are theater.

Q6 3 years out

“As the world changes over 3 years, does this become more necessary or less?”

“The market grows 20% a year” — Growth rate is not a vision.

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A bad start vs a good start

Bad

“Build me a lunch-buddy matching app for free periods. In React.”

A solution mistaken for a problem. The AI writes 300 lines immediately, and you throw them away two hours later.

Good

/office-hours
Problem: 300-level business students with a 3-hour Tue/Thu gap can’t find anyone to eat with, so they settle for snacks alone at the campus shop.
Skip product design — attack the problem definition first.”

/office-hours

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Default track — paste exactly this

# Paste this into the Codex app chat as-is. No install needed. You are a cold-blooded early-stage investment analyst. No compliments. My idea: [one sentence] Ask me the following 6 questions, one at a time. Do not move to the next question until I have answered. If my answer is vague, ask again. 1) What is the strongest evidence that someone would be genuinely stuck without this? 2) How is that person coping with the problem today, and what does that cost them? 3) Describe that person specifically — not as a category. 4) What is the smallest version someone would pay for this week? 5) Have you watched someone use it without helping? What surprised you? 6) Three years from now, is this more necessary or less? At the end, score my hypothesis out of 100 and justify the score.
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No idea yet — six starters

① Cafeteria · free periods

Eating alone, cafeteria queues, menu info

② Campus secondhand

On-campus resale deals, scams and no-shows

③ Club money

Cash and transfers mixed up — can anyone trust the club dues ledger?

④ Tutoring · study groups

Matching tutoring gigs, scheduling, drop-outs

⑤ Cooking on a budget

Splitting groceries, expiry dates, group buying

⑥ Gym · fitness

Waiting for gym equipment, workout partners, tracking

If you are picking one, pick it here, within 10 minutes. And only pick something where you can reach the actual people involved this afternoon.

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The one-sentence hypothesis — template

[WHO] , during [WHEN · WHAT SITUATION] , because [WHAT BLOCKS THEM] suffers [WHAT LOSS] . # Example A 300-level business student who commutes , during the 3-hour Tue/Thu gap , because they can’t find anyone to eat with on the spot , settles for snacks at the campus shop and loses afternoon focus .

If a product name appears in this sentence, it is wrong. The solution does not enter yet.

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One riskiest assumption

If the hypothesis collapses, where exactly does it collapse?

☠ Break this todayIf this is wrong everything collapses — and nobody has asked yete.g. people actually want instant matching / will open an appBoth of your 2 contacts aim at this boxAlready knownCertain and important — no need to aske.g. students are short on moneyLaterUncertain, but being wrong costs littlee.g. button colours, the nameIgnoreCertain and trivial← uncertaincertain →← low impacthigh impact →

This afternoon’s 2 real-world contacts must be an attempt to break this one assumption. Ask random questions and you only burn time.

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Pair cross-examination — the 20-minute rules

  1. 10 min each, then swap. The speaker reads the one-sentence hypothesis, then stays silent
  2. The listener asks questions only. Proposing ideas is banned
  3. Three required questions — “How would you know if this is wrong?” / “Has anyone already spent money or time on this?” / “Who will you ask besides people you know?”
  4. Final minute: the listener repeats the hypothesis back in one sentence. If they can’t, that hypothesis is still blurry
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Block A — to pass this block

A-1 You have a one-sentence hypothesis (no product name)
A-2 One riskiest assumption is written down
A-3 2 named people to contact this afternoon are chosen
A-4 Your pair could repeat your hypothesis back

If any of the four is missing, fill it before lunch. Do not move on to Block B.

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Block B — Cut Scope + Send Questions (40 min)

  1. 20 min the P3 prompt (or $plan-ceo-review) in SCOPE REDUCTION — cut down to 1 feature
  2. 10 min write the 3 questions you will ask this afternoon
  3. 10 min actually send them — WhatsApp, DM, phone call. Now.

Sending is part of Block B. “I’ll send it later” means it never gets sent. Lunch becomes the hour the replies come in.

/plan-ceo-review

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/plan-ceo-review — one mode of four, only

ModeWhat it doesToday
SCOPE EXPANSION“What gets 10x better for 2x the effort?”
SELECTIVE EXPANSIONCherry-pick expansions to keep
HOLD SCOPEFreeze the scope, edge cases only
SCOPE REDUCTIONCut to the minimum version. “Be ruthless.”✅ this one only

“Once the user selects a mode, COMMIT to it. Do not silently drift.”plan-ceo-review/SKILL.md

/plan-ceo-review

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The scope-cutting prompt (shared by Track A/B)

/plan-ceo-review ← Track B: drop this line, keep the rest Mode: SCOPE REDUCTION Constraints: 40 minutes this afternoon, working alone, dev experience [high/mid/low] Hypothesis: [one sentence] Success metric: [the single scene I will show in tomorrow’s 5-minute talk] Cut everything that does not serve this metric. Keep the cut items in a list, each with the reason it was cut. If what remains is more than 2 screens, cut again.

The cut list becomes the material for tomorrow’s slot 4. Do not delete it.

/plan-ceo-review

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Today’s hard limits

1core feature
2screens, max
3clicks make the demo
40minutes to build it

If it can’t be built in 40 minutes, it is not what you build today. Cutting scope is skill, not surrender.

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The ladder of evidence — today’s target is ③

stronger →① My hunchin my head② Friends complainingthings I overheard③ Answers I asked fortoday · 2 contacts④ Observationnot possible in a day⑤ Usage logsnot possible in a daySaying “we only got to ③” tomorrow scores higher than pretending you reached ⑤.

④ and ⑤ are impossible in one day. Today’s target: two pieces of ③. And tomorrow, saying “we only got as far as ③” scores higher than pretending you reached ⑤.

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The 3 questions to ask — and the banned ones

Ask

When did you last run into that situation?”

“What did you do then?”

“Have you ever spent money or time because of it?”

Banned

“Would you use an app like this?”

Everyone says “yes”. Zero information

“What do you think of this feature?”

Ask for a verdict and you get politeness back

The principle: ask about past behaviour, not future intent.

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Friend bias — write it down, don’t hide it

The 2 people you contact today will almost certainly be people you know. That is not the problem. Pretending otherwise is.

Points off

“We validated with 2 users” (both are roommates)

Points on

“Both are friends of mine, so there is bias. Here is how I discounted their answers accordingly”

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The evidence log — use exactly this format

#WhoFriend?Actual behaviour (past tense)Where it differs from my assumption
1A, 300-level, same departmentYesSnacked alone 3 times last week. Asked the class WhatsApp group, got no reply, gave upThe problem may be response rate, not matching
2B, junior from my clubYesEats alone on purpose — finds it easierFalsifying signal — not everyone is bothered

If the last column is empty, that interview was never heard. You only went to get your own opinion confirmed.

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What lunch is for

11:50–12:50 is not just for eating — it is when the replies come in.

  • Sending finished inside Block B. The replies arrive over lunch
  • No reply? Send to 1 more person at the start of the afternoon
  • Reply arrives? Fill the last column of the evidence log immediately

This design is the only channel through which reality intervenes in these two days.

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Block B — to pass this block

B-1 Cut down to 1 feature · 2 screens at most
B-2 The cut list survives, with reasons
B-3 All 3 questions ask about past behaviour
B-4 Actually sent (verified by screenshot)
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Block C — One Demo Path (40 min)

You already built something

Check it with P6 → confirm the path with P7 (neighbour clicks) → keep only the one path you will show and hide the rest

Nothing yet

P5: one static screen + fake data. 40 minutes is enough

Both branches share one goal — the 3 clicks you show for 90 seconds tomorrow.

/review /qa /design-html

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Nothing built yet — the 40-minute mockup prompt

/design-html ← Track B: drop this line, keep the rest Build a one-page self-contained HTML file. No external CDNs, fonts, or images. It must open as a single file. Screen: [e.g. — find someone to eat with during a free period] Required states, all four: empty / loading / results / error Fill it with fake data that looks real — real names, real sentences. No lorem ipsum. Check that nothing breaks at 375px mobile width and report back.

The lorem ipsum ban is not about taste — it is about layout lies. Real sentences run longer than lorem and break layouts differently.

/design-html

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AI slop — what erodes trust tomorrow

Slop signals

Overdone purple-teal gradients

Meaningless emoji icons

Every card with the same shadow, same rounding

Leftover placeholder text (“Lorem ipsum”, “John Doe”)

Instead

Set the layout with real sentences

Build the empty and error states first

Colour only where it carries meaning

Slop is not an aesthetics problem — it is a trust problem. The moment it reads as “an AI made this”, nobody hears your content.

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Already built — what /review catches

  1. SQL · data safety string interpolation, writes that bypass validation
  2. Race conditions duplicate submissions, unsafe HTML rendering
  3. LLM output trust boundaries model-generated values flowing into the DB, mail, fetch — with no validation
  4. Shell injection executing string-interpolated commands
  5. Constant completeness tracing a new value to consumers outside the diff

In student projects the real catches are 3 and 5. Number 5 is a defect humans structurally cannot catch — it never appears in the diff.

/review

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Auto-fix — a commit you haven’t read is not your code

  • /review auto-fixes some findings. The list includes N+1 query fixes and added LLM-output validation — both can change behaviour
  • /qa fixes and then commits
  • The brakes are rule-based counters — qa stops above 20% risk · hard cap 50 findings. Yet the basis for those coefficients appears nowhere in the repo

The rule: read every auto-fix commit line by line with git show. Tomorrow, saying “the AI fixed this part and I did not check it” beats presenting without knowing.

/review /qa

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Codex has no hooks

Claude Code

/careful·/freeze are PreToolUse hooks. The tool call itself gets confirmed or blocked

Codex (us)

The hooks: frontmatter gets stripped. What remains is one paragraph of “Safety Advisory” prose

“The guardrails are accident prevention, not access control.” … “it’s accident prevention, not a security sandbox.”docs/skills.md

Even on Claude, the guardrails were never security controls. On Codex, even that weak device has no force. The only thing standing between you and rm -rf today is your own hands.

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/qa — it opens a real browser

Repro is everything. Every issue needs at least one screenshot. No exceptions.”qa/SKILL.md

  • Unit tests check “is my thinking right”; /qa checks “what the user experiences”
  • It demands a clean working tree — commit first, then run it
  • Never run it on a deployed live service. It is a real browser with real cookies and sessions

Short on time? Track B is enough — hand your laptop to your neighbour and let them click with zero explanation. 3 minutes surfaces most of the problems.

/qa

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“Where this demo is lying, right now”

Write down everything fake on your current screen. Tomorrow you present this list, as-is.

# The fake list (example) · Recommendation algorithm: none — it is just sorted by most recent · The 3 users are dummies I created · Login does not work — it is only a button · Notifications appear on screen only. Nothing actually gets sent

Hide it and get caught in Q&A, and that talk is over. Say it first, and it becomes honesty points.

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Lock the one demo path

Start screenClick 1Click 2Result
  • You must be able to show these 4 steps in 90 seconds, without speaking
  • If it needs explanation midway, it is not a path — it is an excuse
  • Practise 3 times and delete any click that fails
  • Check laptop brightness, resolution and notifications-off — today
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Block C — to pass this block

C-1 A click path that finishes inside 90 seconds
C-2 The fake/unbuilt list is written down
C-3 Opened once on someone else’s laptop or phone
C-4 (Optional) a 3-minute backup recording

C-4 is optional — but if the network dies tomorrow, it saves the talk.

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Tomorrow’s 5 minutes — 5 slots

0:005:00① Problemwhose loss + one quote45s② Hypothesishow it changed45s③ Demo3 clicks, one path only90s④ What we got wrongwrong · unbuilt · faked60s⑤ Next testwhat you will check, and how60sEmpty slot ④ makes it an investor pitch. A full slot ④ makes it a validation report.

Slot 4 decides the character of these two days. Empty, it is an investor pitch; filled, it is a validation report.

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Five things to delete

  1. Tech-stack explanation → delete (“we used all six gstack commands” is also a delete)
  2. Market size with no basis → delete
  3. The full screen tour → shrink to the one path
  4. A roadmap of unbuilt features → delete
  5. No quotes → add 1 direct quote, mandatory

Take these five out of 5 minutes and 3 minutes remain. Those 3 minutes are the real content.

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Do not say “we validated it”

Asking 2 people cannot verify a hypothesis. All you can do is attempt to falsify it.

Wrong wording

“We validated user needs”

“Market fit has been proven”

Accurate wording

“1 of the 2 people gave us a falsifying signal”

“We tried to break the hypothesis; under these conditions it held”

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Pair rehearsal — the two-run rule

  1. Run 1 time it, nothing else. Over 5 minutes? Shrink slot 3 (the demo)
  2. Run 2 the listener throws 2 Q&A questions — one is mandatory: “How would you know if this is wrong?”
  3. Stuck on an answer? Write it into slot 5 (next validation) on the spot

A question that stumps you is not something to hide — it is material for slot 5. Know it in advance and Q&A stops being scary.

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Tomorrow’s operations — know this in advance

TimeWhat
09:30–09:50Opening · grading criteria · peer feedback cards handed out
09:50–11:50Session A — 8 people (15 min each: talk 7 + Q&A 5 + changeover 3)
11:50–12:50Lunch
12:50–12:53Morning-patterns briefing (3 min)
12:53–14:23Session B — 6 people
14:23–14:40Peer feedback tally · best comments
14:40–15:00Wrap-up — how to distrust your tools

The order is drawn by lot tomorrow morning. Everyone arrives by 09:30 with laptop, adapter and backup file ready.

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Tonight’s checklist · the last word

  • One-sentence hypothesis (final)
  • 2 evidence log entries — including the last column (where it differs from my assumption)
  • 90-second demo path + the fake list
  • 5-slot script + 2 rehearsal runs
  • Laptop · adapter · backup file (or the recording)
  • Notifications off — a popup mid-talk costs you trust

Presenting “this turned out to be wrong” tomorrow is not a penalty. Finding that out in one day is an achievement.
The penalty is for inventing results that do not exist.

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Friday — DEMO DAY

What we grade today is “what you found out”, not “what you built”. The demo is not the star of the show — it is evidence.

14students
7 mintalk
5 minQ&A
0points for polish
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How today runs

TimeWhat
09:30–09:50Opening · draw the speaking order · hand out peer feedback cards
09:50–11:50Session A — 8 people (15 min each)
11:50–12:50Lunch
12:50–12:53Morning-patterns briefing (3 min)
12:53–14:23Session B — 6 people
14:23–14:40Tally the peer feedback cards · read out the best comments
14:40–15:00Close — how to doubt your tools

15 min per person = 7 talk + 5 Q&A + 3 transition. When the timer rings at 7 minutes, you stop — even mid-sentence. No exceptions.

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The rubric — 100 points

Problem clarity20 ptsEvidence of real contact25 ptsHypothesis updates20 ptsDemo fit20 ptsHonesty15 ptsPolish: 0 points. Business-model theory: 0 points — it is not what this course teaches.
CriterionPointsWhat we look for
Problem clarity20Is it specific — who, when, what loss? Naming a category costs you points
Evidence of real contact25Did you actually ask people · did you capture past behaviour · did you disclose how many were friends
Hypothesis updates20What changed because of what you heard. If nothing changed, you owe us a reason
Demo fit20Does the scene you show help confirm the hypothesis (not how polished it is)
Honesty15Did you name the fake, the unbuilt, the limits first. Bonus for self-reporting

“Polish” and “business-model theory” carry zero points. Because that is not what this course is about.

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Why polish earns zero points

If we graded polish

Whoever spent one more day coding yesterday wins → the lesson of these two days is wiped out

If we grade evidence

Whoever asked a real person yesterday wins → we are grading the skill that survives the AI era

As the cost of building falls toward zero, all the value moves into “the value of choosing what to build”.

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Peer feedback card — just 3 boxes

BoxWhat to write
① The strongest lineThe most convincing sentence in the talk — copy it down word for word
② The weakest linkThe spot where “problem → solution” or “evidence → conclusion” made a leap
③ One question you want to askEven if you never got to ask it in Q&A, write it here

No scores. When students score each other, relationships contaminate the grading. We collect sentences only.

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The audience’s job — three kinds of questions

  1. The falsifying question “How would you know if that was wrong?”
  2. The evidence question “Of the people you asked, had anyone already spent money or time on this?”
  3. The honesty question “Which part of this demo is fake?”

Of the 5 Q&A minutes, at least 2 questions come from you. If the instructor asks everything, you become spectators.

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Speakers — the 30-seconds-before check

  • Kill notifications (Slack · WhatsApp · email)
  • Prefer plugging in directly over screen sharing — no lag
  • Have your backup file or recording path already open
  • Say your first sentence out loud once — it opens up your voice

Your first sentence is not a greeting — it is the problem sentence. Do not burn 15 seconds on “Good morning, my name is…”.

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The five talk slots — one more look

  1. 0:00–0:45 The problem + 1 direct quote from an interview
  2. 0:45–1:30 How the hypothesis changed — at first → now → what changed it
  3. 1:30–3:00 The demo — 3 clicks, one path
  4. 3:00–4:00 What we got wrong
  5. 4:00–5:00 The next test

The slot is 7 minutes, so you have 2 minutes of slack. That slack is for when the demo stutters — not an invitation to explain more.

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Session A — go

8 people from here. 15 minutes each.

  • No questions during a talk. Write them on your card
  • The next speaker plugs their laptop in ahead of time
  • Keep the 7-minute timer visible on screen
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Right after lunch — morning-patterns briefing (3 min)

We stop for just 3 minutes here and name what kept repeating across the morning’s 8 talks.

Repeated weaknesses

(Instructor fills this in live — e.g. friends-only interviews, demo tours, saying “we validated it”)

Repeated strengths

(e.g. leading with the disconfirming case, self-reporting the fake list)

The whole point of these 3 minutes: the afternoon 6 do not repeat the morning’s mistakes.

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Session B — go

6 people left. You are allowed to apply the morning’s feedback immediately.

  • Fixing your script is not cheating — it is learning
  • But if you changed something, say so: “I watched the morning talks and changed this part” — that earns bonus points
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What the good talks had in common

  • A specific person shows up in the first 30 seconds — “a 300-level Business Admin student who commutes”
  • The quote comes out verbatim — “He said, ‘I’d just go to the campus kiosk’”
  • The demo is one path. Not a tour
  • They say what they could not build first
  • “What to check next” is measurable
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The 5 most common mistakes

  1. The category user — “Students find it inconvenient”
  2. The intent interview — “They said they would use it” (future intent is not data)
  3. The demo tour — clicking through all 5 screens until time runs out
  4. “We validated it” — you cannot validate anything with 2 people
  5. Hiding the fake — get caught in Q&A and that talk is over
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verify vs falsify

Impossible

Asking 2 people in order to verify

“The need has been proven”

Possible

Trying to break your hypothesis

“1 of the 2 people gave me a disconfirming signal, so I changed the hypothesis to this”

This distinction is the longest-lasting thing you learn today — because it is training in judgement, not in entrepreneurship.

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Now it’s the tools’ turn to be doubted

For two days you used Codex and gstack. The last 20 minutes go to how to doubt these tools.

① Framing with numbers

What “810×” really is

② Auto-fix

Commits that change behaviour

③ Silence ≠ safety

The blind spots of checking tools

The tools will be different in 2 years. The method of doubting will not.

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① Don’t quote “810×” as-is

The gstack repository offers a comparison: “one person’s output grew 810×”. And then the same repository takes that number apart itself.

Where you poke the assumptionMultiplier
The README’s original claim~810×
Raise the 2013 baseline from 14 lines → 50 lines228×
Correct for 2× AI verbosity (the author’s own figure)408×
Push the correction to 100×

Time to first user is the metric that matters, not LOC.docs/ON_THE_LOC_CONTROVERSY.md

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② Auto-fix and outsourced judgement

  • /review·/qa fix the code and commit it. The list includes items that change behaviour
  • The brake is a rule-based counter, and the docs give no basis for its coefficients
  • gstack’s top ETHOS principle is “AI models recommend. Users decide.” — yet the automation features, by definition, replace that very decision

The lesson: that a guardrail exists and how strong its basis is are two different questions. A number attached is not a number verified.

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③ Silence is not safety

  • The security check /cso carries 22 hard exclusion rules — DoS, rate limiting, and missing logging are structurally never reported
  • The sentence the tool stamps onto every report, without exception: “This tool is not a substitute for a professional security audit… produce false negatives.”
  • The same tool behaves differently per environment — Codex has no hooks, so /careful blocked nothing at all

A pass from an automated checker means “not found yet”. It does not mean “not there”.

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Bonus — the tool doesn’t match its own docs either

SourceCount
What the README says“23 specialists + 8 power tools” = 31
Commands the install guide lists35
Directories that actually contain a SKILL.md54

A tool that promises to stop documentation drift is drifting in its own README. We hit it ourselves — the README lists --host cursor, but the install script rejects that value as an error.

The code is the truth, not the docs.

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So the real metrics are

0points for polish
2real-world contacts, minimum
1next test
1honest failure report

Time to your first user is the metric. Not lines of code.

Today’s rubric and this sentence are saying the same thing.

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Three things you take with you — 3 minutes to write

  1. 1 thing to keep A command or habit that actually paid off over these two days
  2. 1 thing to drop Something you only did for form — write its name down
  3. 1 thing to count next time What will you measure in your next project

The gap between people who use the tool as-is and people who bend it into their own workflow opens up 6 months from now. Every file in ~/.codex/skills/ is plain markdown — open it and edit it.

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The final proposition

Build a beautiful app and say “we’re not sure yet who will use it” — that talk fails.
Build an ugly mockup and say “I asked 2 people and 1 of them showed me I was wrong” — that talk succeeds.

Codex and gstack are just the operating system that runs this loop. People make the decisions, all the way to the end.

AI models recommend. Users decide.

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