AI Product Fit Check · €500 fixed

Where does AI actually belong?

AI tools make it easy to build something that works. That does not mean anyone will understand it, trust it, pay for it, or use it twice.

Dragonform™ gives founders, agencies, and teams a practical AI Fit Memo before they waste money on development, ads, sales, token costs, maintenance, and launch theatre.

Idea / Prototype
AI Fit Check
Product Decision
30-Day Plan
€500 fixed
72-hour turnaround
30-min call
AI PRODUCT FIT CHECK PACK
v1.0
Product Snapshot
AI Fit Scorecard
AI Opportunity Map
Cost Exposure Snapshot
Final Recommendation
30-Day Plan
Recommendation72h
Core
Feature
Internal
Later
Leave out
Rethink
Evidence

Building with AI is cheap. Being wrong is expensive.

AI adoption is everywhere, but useful AI products are still hard to build, scale, and monetise.

30% of GenAI projects may be abandoned

Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, citing poor data quality, inadequate risk controls, escalating costs, and unclear business value.

Source · Gartner, 2024
Most AI work still struggles to show value

MIT NANDA's 2025 State of AI in Business report found that 95% of organisations in its study were getting zero measurable return from GenAI, with many pilots stuck without P&L impact.

Source · MIT NANDA, 2025
Technology-first AI is a common failure path

RAND found that AI projects often fail when teams focus on using the latest technology instead of solving a real problem for intended users.

Source · RAND, 2024
Adoption is high. Scaling is harder.

McKinsey's 2025 AI survey found that 88% of organisations report regular AI use in at least one business function, but only around one-third have begun scaling AI across the enterprise and 39% report EBIT impact.

Source · McKinsey, 2025

The AI Product Fit Check exists for the gap between “we can build this” and “this is actually worth building.”

Cost Exposure

What could the wrong AI direction cost?

Estimate the cost of building, marketing, and maintaining an AI feature or product before validating whether it should exist.

Inputs
Estimated cost exposure
48,900
≈ €8,150 / month × 6 months
Fit Check break-even
1.0%
A €500 AI Product Fit Check only needs to prevent this share of waste to pay for itself.
Potential avoided waste
10%
4,890
25%
12,225
50%
24,450

If you keep going for 6 months without validating the AI direction, you may expose around 48,900 in build, marketing, time, and AI running costs. Figures are estimates, not guaranteed savings.

Main Offer

AI Product Fit Check

€500 fixed · 72-hour turnaround · one clear product decision. For teams building a product and wondering whether AI should be part of it.

Fixed-price fit check
€500/ 72-hour turnaround
Book an AI Fit Check

Dragonform reviews the idea, product, user journey, business logic, costs, and AI opportunity, then gives you a practical AI Fit Memo.

You get:
  • 30-minute fit/check call
  • Product / prototype / idea review
  • AI opportunity map
  • Product viability review
  • UX and journey feedback
  • Cost exposure snapshot
  • Token / API / maintenance risk review
  • Positioning and monetisation notes
  • Final AI recommendation
  • 30-day action plan
Building with AI is easy. Knowing where AI actually belongs is the hard part.
Some AI ideas are products. Some are features. Some are distractions with a pricing page.
Outputs

What you walk away with

Not vague AI advice. A practical AI Fit Memo.

Product Snapshot
A clear summary of what you are building, who it is for, what problem it solves, and what decision needs to be made.
AI Fit Scorecard
A scored view of problem clarity, AI usefulness, user trust, commercial viability, and execution risk.
AI Opportunity Map
Where AI could genuinely improve the product, workflow, user journey, or business model — and where it should not be used.
Cost Exposure Snapshot
An estimate of the money and time at risk if the team continues building, marketing, or maintaining the wrong AI direction.
Cost & Risk Check
Token costs, API dependency, maintenance burden, data/privacy risks, hallucination risk, support needs, and operational complexity.
Final Recommendation
A clear answer: make AI core, add it as a feature, use it internally, save it for later, leave it out, or rethink the product.
Process

How the AI Fit Check works

A simple process designed to avoid endless calls and vague AI opinions.

Step 1
Submit the product
Send your product link, prototype, landing page, demo, or idea summary. Include target users, stage, business model, and where you think AI may fit.
01
Step 2
30-minute check call
We clarify the product, intended users, business model, AI assumptions, risks, and what you need to decide next.
02
Step 3
Dragonform review
The product is reviewed through a product, UX, commercial, AI, cost, risk, and execution lens.
03
Step 4
AI Fit Memo
You receive a practical memo with scorecard, opportunity map, cost exposure, risks, recommendation, and 30-day plan.
04
Upgrade

Need more than a fit check?

Two next-step offers for teams that already know they want to keep going.

Product Fix Sprint
from €1,500

For teams that need to turn the AI Fit Memo into sharper positioning, cleaner UX, better product scope, pricing logic, and a practical roadmap.

Best for
  • Promising products with poor clarity
  • Founders preparing to pitch or launch
  • Agencies helping clients reshape an AI product
  • Teams that need better product assets before development
Ask About a Fix Sprint
MVP / GTM Execution Pack
from €3,000

For teams that need PRD, backlog, roadmap, launch plan, analytics assumptions, and development-ready product structure.

Best for
  • Products moving beyond prototype
  • Teams preparing for build or relaunch
  • Founders needing investor / customer-facing clarity
  • Agencies needing structured delivery assets
Discuss an Execution Pack
Fit

Who this is for

AI Founders
You built something fast and now need to know whether it can become a business.
Indie Hackers
You have a prototype but need a product and cost check before going deeper.
Agencies
Your client wants AI, but the brief is vague, risky, or commercially undercooked.
SMEs
You want to add AI to a product or workflow but need clarity before spending more.
Accelerators
Your cohort is full of prototypes, but founders need sharper product, GTM, and execution thinking.
Product Teams
You need an outside review of an AI feature, prototype, or early MVP before committing resources.

This is for people who need a useful decision, not another inspirational AI call.

Case Studies

Case studies

Selected examples of Dragonform work across AI-assisted products, legaltech, education, creative tools, product audits, and MVP execution.

Featured
AI / eCommerce / Product Execution

PromoLens — from idea to MVP

An AI-driven eCommerce product supported from early concept through MVP definition, user flows, documentation, and delivery planning.

Dragonform role: Idea-to-MVP support, product documentation, user flows, feature definition, delivery structure, and product execution support.
Strongest commercial AI case
  • Idea-to-MVP product execution
  • AI applied where it actually helps
  • Clear product documentation
  • Delivery-ready structure
Creative AI / Publishing / Music

Colourblind — AI-assisted poetry, illustration and music launch

A creative publishing project turning original poetry into a full digital launch experience with AI-assisted visuals, music, storytelling, and a public-facing book campaign.

Dragonform role: Creative AI workflow, launch site, positioning, storytelling, productisation of artistic work.
Team Tools / Physical Product / Reflection

Debrief — turning team conversations into action

A physical facilitation product built around a decision die and structured prompts, designed to help teams move from vague discussion to practical next steps.

Dragonform role: Product concept, offer structure, positioning, landing page, workshop logic, physical product framing.
Legaltech / Online Dispute Resolution

Договорено — online dispute resolution concept

A legaltech concept for accessible online dispute resolution, using structured intake, guided negotiation, settlement flows, and clear next-step logic.

Dragonform role: Product concept, PRD thinking, roadmap logic, user flow design, legaltech positioning.
Edtech / AI Music / Nurseries

Ritmişor — educational songs for nurseries

A bilingual early-learning music concept for nurseries and parents, using AI-assisted songwriting to turn educational themes into memorable songs.

Dragonform role: Brand concept, bilingual landing page, pricing logic, offer structure, AI song workflow.
Edtech / Service Productisation

ExamPian — GCSE revision service launch kit

A personalised GCSE revision auditing and planning service shaped into clear packages, pricing, positioning, and client-facing material.

Dragonform role: Service structure, offer design, pricing logic, founder positioning, branded PDF support.
Additional work

More project work

Health4Wealth

Healthtech app review, bug list, UX feedback, and Romania market-entry observations.

Lumii

UX / UI feedback, product critique, and growth strategy recommendations for an early-stage app.

ПЪТЕКИ

National mentorship and personal development programme concept for Bulgarian high schools.

ДОМ

Children's educational museum concept for Stara Zagora combining play, STEM, LEGO, robotics, and immersive learning.

Живи стени

Civic art proposal to transform grey panel apartment buildings with large-scale murals inspired by Bulgarian nature, folklore, and heritage.

Forge

AI product-ops concept turning a founder's raw idea into validation brief, PRD, competitor analysis, pitch deck, and 90-day roadmap.

Why Dragonform

Why Dragonform

Dragonform™ is a product execution service for founders, startups, SMEs, agencies, and mission-driven teams that need clarity fast.

We sit between strategy and delivery: sharp enough to challenge the idea, practical enough to turn it into usable assets, and blunt enough to say when something is not worth building.

The AI Product Fit Check exists because building has become cheap, but building, marketing, maintaining, and selling the wrong thing is still expensive.

Product Judgment
15 years of B2C, B2B, SaaS, legal, startup, and product execution experience applied to one question: is this AI direction worth pursuing?
Practical Outputs
You do not get vague advice. You get an AI Fit Memo, scorecard, opportunity map, cost exposure snapshot, risks, recommendations, and next steps.
Commercial Honesty
The goal is not to praise the prototype. The goal is to help you avoid wasting money, time, and credibility.
Contact

Ready to find out where AI belongs?

Send the product, prototype, landing page, or idea. Dragonform will check whether the AI Product Fit Check is the right next step.

Quickest path
Book a 15-minute fit call
A short call to check whether the AI Product Fit Check is right for your product.
Book an AI Fit Check
Email
contact@dragonform.me
LinkedIn
/company/dragonform

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