Inference
TITI reads the brief and infers domain, intent, and architecture instead of interrogating you. The interface stays out of the way.
Recursive AI-native engine
A website used to cost thousands. Now it costs a coffee.
Agencies bill thousands and take weeks. Describe what you want — TITI researches, designs, builds, tests against quality floors, and deploys a multilingual site. The site itself costs about the price of a coffee.
Hayat-verified — provenance · multi-model audit · hard floors · agent.json · sot-map.json
- Questions-per-project target: 0
- Engine, not a tool
- TITI builds TITI
Three layers, stated simply
Construction
It designs and builds the product end to end, then tests every output against hard floors before anything is considered done.
Deploy
The engine prepares the deploy as the final stage. The trajectory is full hands-off autonomy; the engine is already proven in production.
The prompt-to-deploy protocol
Seven stages run from a single prompt to a deploy-ready product.
1. Research
TITI investigates the domain to ground every later decision in context.
2. Architect
It decides the structure and components without asking you to specify them.
3. Design
Interface and content are designed to fit the inferred intent.
4. Build
The product is constructed in full from the chosen architecture.
5. Test
Outputs are checked against hard floors; failures are rejected, not shipped.
6. Prepare deploy
TITI assembles everything required to ship the product.
7. Recurse
The same engine improves and rebuilds itself — TITI builds TITI.
The only interface
Speak to the resident chat
Hi — I’m titi. Tell me what you’d like to build; a few words is enough.
I’ll turn it into a real, tested, deployed site.
Engine proven in production