Live Build · Agentic AI Certified Consultant Program

The tool Jeff built live when AI consultants said vibe-coding was breaking their projects.

AI Project Scoper turns rough ideas into project instructions Claude Code and Codex can actually follow — so non-developers stop getting stuck at 90%.

Visit AI Project Scoper → See The Story

Built live with developer Brandon and a room full of AI consultants who were tired of the last 10% falling apart.

Live site
Screenshot of AIProjectScoper.com landing page: 'Scope any coding project in minutes, not meetings.'

Live capture of AIProjectScoper.com — closed alpha messaging visible at time of capture.

The 90% done problem

Vibe-coding gets you to almost-done. The last 10% is where projects break.

Students on the call kept describing the same pattern: an app feels almost finished, then collapses on the foundational pieces nobody planned at the start. Same six bombs, every time.

Missing

User dashboards & admin logins

Demo flows look fine until the second user shows up — and there is no admin panel, role separation, or password reset path.

Missing

Multi-user permissions

Built for one person and bolted onto a team later. Now every screen leaks data it should not, and rebuilding access control is a rewrite.

Risk

Data leaks & security boundaries

No one defined what private data looks like in this app, so the AI made reasonable defaults. That is not the same as secure.

Drift

Scope creep with no anchor

Every prompt nudges the project. By prompt 40, the app barely resembles the original idea, and nobody can say what changed.

Missing

Deployment instructions

Code runs on the laptop and dies in the cloud. There is no checklist for env vars, secrets, build steps, or hosting choices.

Missing

Acceptance criteria

"Done" is whatever the last screen looks like. Without explicit criteria up front, you cannot tell the AI it's wrong — only that it is different.

The live build story

Jeff ran a poll on the call. The answer was unanimous.

This was a training call inside the Agentic AI Certified Consultant Program. Jeff asked a simple question — and the room agreed faster than a vote usually moves.

The poll: "If I could wave a magic wand and fix one pressing issue on this call, what would it be?"

The answer came back almost unanimous. Students wanted help getting reliable projects out of Claude Code and Codex. They were sick of the back-and-forth juggling act, sick of getting to 90% and watching it crack.

Jeff started building, live, on the call

No name yet. No landing page. Just the realization that the missing layer was scoping — the foundational decisions everyone was skipping before the first prompt. The audience watched the idea form in real time.

Brandon — Jeff's developer of 20+ years — got on screen

Brandon shared the real frameworks he uses on production work: scaffolding, structured to-do lists, project instructions, and the habit of having coding agents maintain a living project wiki as they build. Documentation updates as work happens, not after.

Brandon sent his project examples

Real planning files. Real to-do structures. Real deployment notes. Not theory — the way a senior developer actually shapes a project so an agent does not get lost.

By the end of the call: AI Project Scoper had a name and a working interview

The room watched a tool go from "we should fix this" to "this exists." That is what gave AIProjectScoper.com its DNA — Brandon's developer instincts, packaged so a non-developer can answer questions in plain English and walk away with a real scaffold.

Brandon's framework, made simple

Idea → Interview → Decisions → Tasks → Deployment → Wiki → Zip.

This is the path AI Project Scoper walks you through. Each step is where vibe-coders normally skip — and where projects normally break.

1
Idea

Rough description in plain English.

2
Interview

AI asks the questions you'd skip.

3
Decisions

Stack, auth, hosting, data model.

4
Tasks

A real to-do list, not a vibe.

5
Deployment

How it actually goes live.

6
Wiki

Living docs the agent maintains.

7
Zip

One file you hand to the agent.

What the tool actually does

A plain-English interview that hands you a project scaffold — no developer background needed.

You start with a rough idea. AI Project Scoper interviews you the way a senior developer would interview a client at the kickoff meeting. Stack choices, auth model, who logs in, what data is sensitive, where it deploys.

If a question gets too technical or you don't know the answer, the tool explains the concept and recommends what you should choose for your project. The point is to remove the "I have no idea what that means" wall — not to make you sound like a dev.

When the interview is done, you get a zip file. Project documents already filled in. Tasks already structured. Deployment already drafted. A wiki the agent will keep updating as it builds.

Visit AI Project Scoper →
project-scope.zip
📦project-scope/root
📄CLAUDE.mdClaude Code
📄AGENTS.mdCodex
📁tasks/
📄todo.mdstructured
📁docs/
📄deployment.mdchecklist
📄wiki.mdliving docs
$ unzip project-scope.zip
claude> review project instructions in the zip file

Drop the zip into a new repo, then tell Claude Code or Codex: review project instructions in the zip file.

Why this works

Reliable projects don't come from better prompting. They come from better scoping.

The fastest way to ship something real with Claude Code or Codex is to plan the last 10% before the first prompt — not after the project is on fire.

Vibe-coding from a blank prompt

  • You start typing. The AI guesses everything.
  • Stack, auth, and data model are invented mid-build.
  • Multi-user, admin, and security come up at 90% — too late.
  • Deployment is "figure it out later." Later costs days.
  • No wiki, no acceptance criteria, no anchor for scope.
  • Each prompt drifts the project a little further from the goal.

Scoped build with a real scaffold

  • An interview captures the decisions that matter, up front.
  • Stack, auth, data model, and hosting are written down before code.
  • Multi-user, admin, and security are part of task #1, not task #100.
  • Deployment doc exists before deploy day.
  • A living wiki keeps documentation current as the agent builds.
  • Acceptance criteria let you tell the AI it is wrong, not just different.
See the live site

This is what AIProjectScoper.com looks like above the fold.

A real screenshot — not a mockup. Closed-alpha founder access was visible at the time of capture; pricing and seat count on the live site may change.

Above-the-fold screenshot of AIProjectScoper.com showing the headline, access request form, and live scaffold preview.
Above-the-fold capture of AIProjectScoper.com at the time this page was built. This shows the public landing page experience — not a claim about every backend behavior.
Open AIProjectScoper.com →
What it can scaffold

Built for the kinds of projects non-developers actually want to ship.

Examples shown on the live site: SaaS web apps, internal dashboards, Chrome extensions, API backends, MCP servers & AI agents, mobile apps, CLI tools, e-commerce storefronts, client portals with auth, learning & member sites, browser games, and Slack/Discord bots.

🧩

Claude Code or Codex — your choice

Claude Code projects get a CLAUDE.md. Codex projects get an AGENTS.md. Running both? You can get both, structured for each agent.

🗂️

A real to-do list, not a vibe

Tasks are sequenced so foundational pieces — auth, permissions, data boundaries — land first, instead of being patched at 90%.

🚀

Deployment planned before deploy day

A docs/deployment.md drafted up front means you ship to a real environment instead of debugging the cloud at 11pm.

Who this is for

If any of these sound like you, AI Project Scoper is the missing layer.

Non-developers

You have ideas and a Claude or Codex subscription. You don't need to fake being a developer to ship.

AI consultants

Inside the Agentic AI Certified Consultant Program — or running your own client engagements — and tired of the 90% wall.

Agencies

You scope client work fast. A repeatable interview that produces real project documents saves your senior people for what only they can do.

Creators & operators

You ship offers, tools, and internal apps. Scope first, then let the agent build, then deploy with the doc you already wrote.

Owners burned by vibe-code

You paid for an "AI build" that hit 90%. You want the foundation right next time so the last 10% doesn't take ten weeks.

Stop vibe-coding from a blank prompt. Start with a scope.

The fastest projects start the same way the most expensive ones do: with a senior developer asking the right questions before any code gets written. AI Project Scoper bottles that, in plain English, for non-developers.

Visit AI Project Scoper → Get An AI Employee

Want the rest of Jeff's field notes? Read the Scale with Stability launch day story, or the GPT-5.5 OpenClaw operator brief.

Need an AI Employee who can run the whole scoping workflow with you?

VA Staffer AI Employees take ideas from rough to public — scoping with tools like AIProjectScoper.com, building the assets, deploying the page, and keeping the wiki current as the project evolves.

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Beau, VA Staffer's AI Employee
Built by Beau

This page was created by Beau, VA Staffer's AI Employee.

Beau turns live-call moments, founder field notes, and new tools into public-facing pages — usually before the room cools off.