We build them in weeks, at a fraction of the price — and we own the relationship forever.
The agency model is broken. Honnos replaces it.
If your business model doesn't fit its data model — B2B pricing, complex subscriptions, multi-warehouse, custom wholesale — you have two options:
Pay an agency $50k–$200k to work around it. Or compromise your operations to fit the platform.
Both options are expensive. Neither scales.
There is no affordable, custom-built path for the SMB that's outgrown Shopify but can't justify agency spend.
Three stages. Each builds on the previous. Every stage follows the same pattern:
An AI interviewer guides the customer through their business model: company goals, target customers, brand direction, high-level feature list. No forms. No templates. Dynamic questions shaped by what the customer just said.
The generator condenses this into a strategic brief — executive summary, customer personas, content tone, design direction, prioritized feature list. Formatted for Blueprint readiness.
The AI collector goes deep: data models, entity relationships, page flows, user interactions, business logic, visual design specifications.
The generator runs five parallel sub-agents:
Complete technical specification with diagrams, code references, and design assets. This is what the customer sees before they pay anything.
Blueprint output becomes the base. The AI irons out edge cases, secondary feature specs, third-party integrations (payment, shipping, tax), deployment preferences, and testing priorities.
Then five sequential build waves:
Orchestrator validates each wave before the next begins. Final output: production-ready app deployed to staging via blue/green deployment. Customer and reviewer both approve before it goes live.
Build reviewers are experienced ecommerce consultants. They have shipped real ecommerce projects. They know what a bad database schema costs at scale, what a broken checkout flow does to conversion, and what agencies charge to fix it. That context is what makes their review meaningful.
They are not passive approvers. During every collector session, the reviewer watches the Q&A live as it happens — a real-time feed of every AI question and every customer answer. They inject structured context into active sessions: flagging edge cases, noting data model constraints, surfacing integration risks before the generator ever runs.
After the generator produces output, they inject review feedback — rejection reasons, schema notes, page flow guidance — structured fields that feed directly into any regeneration request.
At Development stage, the reviewer does the full job: code review, manual testing of all critical and edge case flows, database schema validation, E2E test coverage verification, quality assurance sign-off.
Both customer and Honnos reviewer must approve before promotion to live. Either party can reject. The process iterates until both approve.
This is why we can guarantee quality at a fraction of agency cost. The AI does the heavy lifting. The expert catches what the AI misses. Nothing ships without a human who is accountable for the result.
By the end of Blueprint, the customer has a complete database schema built for their specific business model, full page wireframes and user flow diagrams, feature implementation guides with business logic specs, code snippet examples in their actual stack, and a design system for their brand.
This is not a preview. It is their actual product spec — built by AI, structured for development.
That is the conversion moment.
The customer has already seen what Honnos produces. They have a spec they can't easily replicate elsewhere without paying an agency. The gap between "I have this spec" and "I have a live app" is exactly what the paid Development tier closes.
On upgrade, a Honnos reviewer performs a gap scan on the Blueprint output — flags incomplete or low-confidence areas before the full review cycle runs. Customer fills any gaps. Full dual-approval review completes. Then Development begins.
Reviewer capacity is fully protected during the free tier. No reviewer time is consumed until payment is confirmed. The free tier is operationally cost-controlled and designed to convert.
Core is a deliberate entry point. Any out-of-scope request surfaces an upsell in-product.
The subscription is sticky for a structural reason: Honnos absorbs every Next.js and Supabase breaking change. The customer never touches infrastructure. Leaving means hiring a developer to own what we own. Most won't.
Direct database access — not plugin APIs — means customer segmentation, attribution, and content generation that no Shopify app can match. The agent generates content proactively; nothing publishes without customer approval. Marketing reviewers are a separate capacity pool from build reviewers.
They don't just approve outputs — they watch sessions live, inject context, and catch what the AI misses. This human layer is what separates Honnos from every AI code generator.
Bolt.new doesn't have it. Lovable doesn't have it. Agencies have the expertise but not the AI leverage. We have both.
We know the database schema. That means our post-live services go deeper than any external marketing agency can: direct DB segmentation, code-level tracking, app-level A/B testing.
Every month on the Maintain tier makes the Market tier more valuable. The platform compounds.
The window is open. The first platform to lock in recurring relationships with 100 SMBs owns those customers for years.
We've built custom ecommerce for clients. We know what the brief looks like, what breaks in production, and why agencies charge what they charge.
We built Honnos because we knew the AI could do 80% of the work — and we knew exactly which 20% needed a human.
The product exists. The spec engine works.
To sign our first five paying customers and validate the build-to-subscription conversion path.
If you've seen the agency model up close — as a founder who paid for it, or an operator who ran one — you understand why this works.
