IR
Intent Research
Understand the job behind the words.
DaizLab / Research · Learning · Creation
A place to learn the system.
Then build one.
The public DaizLab Lab brings Intent Research, digital learning, premium templates and real product work into one connected environment. Discover the thinking. Learn the method. Build the experience. Improve it with evidence.
Intent ResearchPidGinYor IRDaizLMSTemplate Studio
LMS
DaizLMS
Learn through guided lessons and practice.
CMS
Publishing Studio
Shape and organise reusable knowledge.
AI
Digital Tutor
Connect concepts to real work.
DaizLMS / Digital tutor
Learn by making.
Not by memorising.
A guided path from intent to implementation. Lessons connect to practice, and the tutor helps turn a question into the next useful action.
01
Intent before interface
Translate the human objective into a brief the system can reason about.
02
IR: meaning into structure
Identify entities, audience, constraints, actions and evidence.
03
PidGinYor: author the system
Express intent in a structured form that can be parsed and compiled.
04
Continue in workspace ↗Build, test, improve
Preview, validate, refine and publish with a clear next action.
DaizLMS Tutor
GUIDED MODEIntent-aware learning companion · prototype
Welcome to DaizLMS. Tell me what you want to build or understand. I will interpret the intention, evaluate possible routes and return a practical next action.
Live DaizLMS tutor is connected to the in-house deterministic PidGinYor IR engine. GitHub research is available in the founder-gated IR Explorer.
Template studio / curated systems
Start with a proven structure.
Templates are not disposable skins. Each is a starting architecture for a visitor intent and decision stage.
6 SYSTEMS IN VIEW
Selected architecture
Commerce OS
A WhatsApp-first commerce journey: product discovery, trust, order and payment.
Proof library / selected work
Case studies, not claims.
A transparent record of context, design decisions and systems explored. Performance figures are published only when measurement is available.
FIELD CASE / 01
Coach Freeman
Personal brand · Conversion architecture
A phone-first coaching presence shaped around clear positioning, a focused journey and performance as a build objective.
FIELD CASE / 02
B-Ways
Hospitality · Direct booking journey
A hospitality experience designed around room discovery, trust, availability context and direct enquiries.
FIELD CASE / 03
DaizChain
Fintech · Transaction experience
A product interface exploring wallet connection, deposit guidance, payment flows and lightweight transaction tracking.
FIELD CASE / 04
AmpleLife Travel
Travel · Guided decision journey
A travel platform direction connecting destination discovery, service education and enquiry-led conversion.
Discovery → decision
Explore the idea. Learn the method. Build the system.
TOFU earns discovery. MOFU turns curiosity into understanding. BOFU makes the next action clear. DaizLab connects all three—and gives each visit a useful next step.