AI generates the structure from a prompt. The platform deterministically emits production code. Developers extend in real Java, Python, or JavaScript. All three engines write to the same model.
Prompts shape the system. Tables, queries, pages, security profiles, business rules.
ProbabilisticEach configuration emits code: CRUD, REST + GraphQL, RBAC, cache, observability — error-free, every time.
DeterministicJava, Python, or JavaScript per element. You write only the differentiating logic.
Human-authoredAI is good at intent. The platform is good at correctness. Developers are good at the 5% that's truly novel. Weezzi gives each one its lane.
You describe what the system needs to do. The AI chooses what tables exist, what roles can do what, what pages connect, what business rules apply.
Once the model is set, the platform emits the same artifacts every time. Thousands of lines, error-free, idempotent. A decade of business software patterns, encoded.
The boilerplate is generated. You write the methods that differentiate your business — and only those. Standard languages, standard tooling, standard debugging.
From a prompt, the system emits the layers a real production application needs — and the editing surfaces operators use after launch.
The model in the center is the source of truth. Every layer outward is generated from it — and stays in sync as the model evolves.
AI edits, visual edits, and code edits all write to the same underlying model. There's no translation layer between them — and no merge conflicts.
Two engines, two contracts. Probabilistic where exploration helps. Deterministic where the same input must produce the same output, every time.
The AI explores the design space. "Build a marketplace" can become several reasonable shapes — different table choices, different role splits. You pick the one you want and refine.
Once the model is set, generation is a pure function. Nothing is freestyled. No hallucinated method names, no inconsistent error handling, no "creative" SQL. Production code stays predictable across every run.
Generic code models hallucinate API surface and invent inconsistent patterns. Weezzi's generation is grounded in 20+ years of business application architecture, encoded as patterns the AI can actually emit.
Real production code from a SaaS serving hundreds of businesses.
Battle-tested patterns for schemas, roles, workflows, and pages.
HR, projects, invoices, ecommerce, content, services, more.
Generated code targets a closed surface — the platform's own.
The AI doesn't generate raw application code from scratch. It edits a model. The platform — deterministic, audited, versioned — is what produces the final code.
Pilot Q2 2026. Founders, agencies, and one mid-market design partner per cohort. No credit card.