ONE FREE PROMPT. FOUR PERSONAL SIGNALS.

Your next idea may already be in your AI history.

Uncover the problems, projects and unfinished ideas you keep coming back to. Digital Bento looks for patterns in the context your own ChatGPT can actually access.

No account. No full-history upload. Run it inside your own ChatGPT.

Explore the example Already ran the prompt? Paste your result

A LOOK AT WHAT YOU COULD FIND

Meet Kev, a friend of the founder

YOUR FIRST BENTO

A simple place to start.

Copy the free prompt
Open “Generate My Bento” and copy it.
Run it in your ChatGPT
Use the context available in your own account.
Review your four signals
Bring back the RETURN BLOCK to review and make a share card.

KEV’S IDEA · THE CHAT TRAIL

Four conversations. One idea.

Kev is a friend of mine. He thought he needed a new AI idea. But Chín Nghề — his unfinished marketplace for practical skill kits — was already connected to a problem he had returned to for years.

The Bento, dates and chat excerpts shown here are illustrative, not retrieved conversation records.

A FRIEND OF THE FOUNDER

Kev Nguyen — The Unfinished Builder

32 · Ho Chi Minh City, Vietnam

Product & Operations Lead at a small skills-training organization

A former freelance designer and video editor, Kev now helps turn practical skills into teachable products in Ho Chi Minh City. His own quoting and client-work problems led him to make reusable sheets, brief checklists and handover templates.

SIDE PROJECTS / Freelance projects · Skill-sharing workshops · Digital templates

2018–2021
Freelance work made the problem concrete
Design and video projects exposed the difficulty of quoting work, managing clients and earning from a skill. Kev made his own quoting sheets, brief checklists and handover templates.
2022–2025
From a personal skill to a teachable product
His skills-training role brought product and operations work closer together. A hypothetical workshop and practitioner scenario explores what that background could contribute to a small pilot; its numbers are not verified results.
2026
Chín Nghề became too much to prove at once
He planned a two-sided marketplace with AI matching, seller onboarding and an initial 50 kits. Content quality, seller recruitment, buyers, payments and matching became simultaneous problems. Other AI ideas followed, until Digital Bento brought Chín Nghề back into view through his old conversations. The catalog and platform are plans, not achieved traction.

HYPOTHETICAL SCENARIO · 2022–2025

Hypothetical skill-builder scenario

Hypothetical scenario, not verified results.

Paid workshops: 3
Workshop registrations: 52
Practitioners: 12
Potential pilot contacts: 20–30

THE CENTRAL CONTRADICTION

A practical builder. An oversized first build.

Kev has helped others turn their skills into practical products, but has yet to use that same small, concrete approach to test Chín Nghề.

HIS ADVANTAGE: He understands how practical skills become teachable products.
HIS BLIND SPOT: He wants to build the distribution platform before proving the first repeatable transaction.

NARRATIVE INFERENCE · NEXT TO TESTKev may be unusually well suited to test Chín Nghề, but that doesn’t mean he should build the marketplace yet.

Kev is a friend of the Digital Bento founder. Background shared by the founder; workshop, practitioner and pilot-contact figures are hypothetical.

APR 2023THE PROBLEM
KEV, IN CHAT · SCRIPTED EXAMPLE“A friend has ten years of office experience and wants extra income. She knows Excel, but has no idea what skill she could sell. How can someone start small without expensive training?”
HIS CHATGPT’S BENTO READThe earning-first problem — not course consumption.
NOV 2024THE FORMAT
KEV, IN CHAT · SCRIPTED EXAMPLE“What if people who already make money from a practical skill could sell a short PDF, checklist or 15-minute walkthrough instead of a 20-hour course?”
HIS CHATGPT’S BENTO READThe creator becomes the seller. Not a generic course platform.
AUG 2025THE PRODUCT
KEV, IN CHAT · SCRIPTED EXAMPLE“Start with three questions about time, experience and budget. Recommend five relevant kits. Let creators upload, price and publish in under ten minutes. Could we test with 50 kits?”
HIS CHATGPT’S BENTO READA coherent buyer and seller workflow, with MVP thinking. 50 kits was a goal, not a result.
SEP 2026THE CONTRADICTION
KEV, IN CHAT · SCRIPTED EXAMPLE“Give me 10 new low-capital startup ideas I can build with AI.”
HIS CHATGPT’S BENTO READInstead of connecting earlier discussions, another ideation cycle begins.

THE FINDING

Digital Bento didn’t invent Chín Nghề. It helped Kev revisit an unfinished direction.

His practical learning experience gives him a starting point. The next move is to test one useful kit and one transaction before building the whole marketplace.

EVIDENCE GAP

Experience with practical learning products does not prove that buyers will pay for Chín Nghề, that sellers will list, or that a marketplace will find repeatable demand.

Free. Runs inside your own ChatGPT.

THE FOUNDER’S BENTO · EXAMPLE DRAFT

Mine looked like this. So I built Digital Bento.

I had my own long trail of projects, experiments and half-finished directions in AI conversations. I built Digital Bento to see the patterns instead of asking AI to invent another random idea.

02 / AN IDEA IS ONLY THE BEGINNING

Finding the idea
isn't the hard part.

The harder question is whether
anyone actually wants it.

AI tools have made building dramatically faster.
But faster building does not answer:

↗Who actually has this problem?
↗Are people already trying to solve it?
↗Are they spending money?
↗What alternatives already exist?
↗Where could you find your first customers?
↗What should you test before building more?

IDEA

WHO HAS THE PROBLEM?

MARKET EVIDENCE

CURRENT ALTERNATIVES

REACHABLE BUYERS

CHEAPEST VALIDATION TEST

BUILD / TEST FIRST / DROP

03 / FOLLOW THE EVIDENCE

Before you spend another weekend building,
check whether the market gives you a reason to.

One idea. Manually investigated. Real-world market evidence.

FOUNDING BETA

Evidence Scan

A closer look before you take the leap.

$5one-time · one idea

WHO

Most plausible paying customer.

PROBLEM

Evidence the problem actually exists.

BEHAVIOR

What people currently do instead.

SPENDING

Evidence that people already pay to solve related problems.

COMPETITION

Existing products and alternatives.

REACHABILITY

Where realistic first customers can be found.

MARKET

A practical bottom-up view, not inflated TAM math.

NEXT TEST

The cheapest useful validation experiment before more building.

BUILD

Enough evidence exists to justify a small MVP or sellable offer.

TEST FIRST

Promising, but a critical assumption is still unproven.

DROP

Current evidence does not justify more time.

No fake startup scores.

Not every idea gets a positive answer.

Validate My Idea — $5

WHY YOUR AI HISTORY?

Most idea validators start after you've already chosen the idea.

We start earlier.

Your AI conversations can contain signals about:

problems you understand unusually well
industries you repeatedly discuss
projects you’ve already attempted
ideas you keep returning to
skills and access you may underestimate
reasons previous ideas stalled

The goal isn't to generate more ideas. It's to identify which existing idea deserves evidence.

LESS SHARING. MORE CONTROL.

You choose what we analyze.

The free Digital Bento runs inside your own AI account. For an Evidence Scan, you choose what idea and context to submit. You don't need to provide your entire AI conversation history.

Read Privacy Details

ONE IDEA. A LITTLE MORE CLARITY.

Stop generating ideas
for a minute.

Find the one you already care about.
Then check whether the market cares too.

Validate an Idea — $5

Your next idea may already be in your AI history.

RECURRING OBSESSION

WHAT HE WAS ACTUALLY BUILDING

IDEA TO REVISIT

BIGGEST CONTRADICTION