Which products should we discount before they become waste?
DecidePredict
Turn a business question into a useful Data + AI app.
Describe the problem. Get a grounded pattern, architecture, MVP scope, and a practical starting point for Lovable + Databricks.
QuestionMatched patternBuild-ready blueprint
FIG.01 · LIVING SYSTEMSTATUS / ACTIVE
DATADelta · SQL
CONTEXTCatalog · Semantics
INTELLIGENCEModels · Agents
EXPERIENCELovable · Apps
ACTIONDecisions · Write-back
START WITH THE PURPOSE
Why Data + AI Apps?
A Data + AI app does more than show data or generate text. It combines trusted data, business context, intelligence, user experience, and action into one useful product.
Traditional data
Useful for visibility, but the person still has to decide what happens next.
01Data
02Dashboard
03Human interprets
AI answer
More powerful, but an answer alone may not be enough to trust or act on.
01Data
02AI
03Answer
Data + AI application
Connects understanding to a usable experience and a meaningful next step.
01Data
02Context
03Intelligence
04Experience
05Decision
06Action
A useful Data + AI app usually needs:
01Problem
02Data
03Context
04Intelligence
05Experience
06Control
07Action
POSSIBILITY MAP
What Can Data + AI Apps Do?
Start with the business need, not the technology.
BUSINESS NEED / DISCOVER
Help people find what matters.
PRACTICAL POSSIBILITIES
RecommendationsSemantic searchPersonalized discoveryContent and product matching
Real reference: Future Movie Discovery
FROM EXPERIENCE
Preference is not a setup step. It should stay easy to revise throughout discovery.
BUSINESS QUESTIONS → BUILDABLE IDEAS
Imagine What You Could Build
Start with a question someone needs answered, then connect it to evidence and a useful next action.
Which claims deserve closer review?
InvestigatePredict
Can this employee take leave under this policy?
AssistUnderstand
Which machine needs maintenance before it fails?
PredictDecide
Which customers are likely to leave, and what should we do?
PredictDecide
Why was this transaction flagged?
InvestigateUnderstand
THE ARCHITECTURE
A living system, not a stack of widgets.
Each layer changes the meaning of the one before it—and the action available after it.
01
DataDelta · SQL · Streams02
Context + GovernanceCatalog · Semantic context03
IntelligenceGenie · AI · Models04
Application ServicesAPIs · Auth · Functions05
User ExperienceLovable · InterfacesREAL APPLICATIONS · FIELD NOTES
Architecture becomes credible when it survives contact with reality.
GOVERNED CONVERSATIONAL INTELLIGENCE
TrustGenie
Help business users ask natural-language questions without losing the governed logic and evidence behind each answer.
LOVABLE
Question experience, answer presentation, SQL and evidence inspection.
DATABRICKS
Genie intelligence, governed SQL, semantic context, and source data.
BUILDER INSIGHT
Evidence, not vibes.
Reuse: Pair every generated answer with an inspectable path back to governed data.
DECISION INTELLIGENCE
Grocery Data Intelligence
Move operational teams from observing grocery signals to choosing a useful next action.
LOVABLE
Decision workspace, recommendation detail, and clear action controls.
DATABRICKS
Retail data processing, intelligence logic, and recommendation inputs.
BUILDER INSIGHT
A dashboard explains what happened; a decision engine helps someone act.
Reuse: Design the action vocabulary at the same time as the intelligence layer.
AGENTIC ENTERPRISE EXPERIENCE
DwaraOne
Serve employees, managers, and leaders with experiences appropriate to their role, policy, and workflow.
LOVABLE
Role-aware interfaces, guided workflows, approvals, and action surfaces.
DATABRICKS
Enterprise data, policy context, retrieval, and agent intelligence.
BUILDER INSIGHT
The best agent experience changes with the responsibility of the person using it.
Reuse: Map roles, permissions, and approval points before designing agent autonomy.
AI-POWERED DISCOVERY / RECOMMENDATIONHackathon Honorable Mention
Future Movie Discovery
Help people discover relevant movies through preference, similarity, and personalized exploration.
LOVABLE
Preference capture, discovery interface, and recommendation exploration.
DATABRICKS
Embedding preparation, similarity logic, and recommendation data.
BUILDER INSIGHT
Personalization starts by making preference easy to express and easy to revise.
Reuse: Treat recommendation as an explorable conversation, not a static ranked list.
CONTEXT ENGINEERING
AI Needs Context
Show why capable AI still fails when business meaning, relationships, and semantics are missing.
LOVABLE
Interactive explanations and a clear interface for making context visible.
DATABRICKS
Structured data, governed semantics, relationships, and context foundations.
BUILDER INSIGHT
A stronger model cannot repair business meaning that was never supplied.
Reuse: Define entities, terms, relationships, and ownership before optimizing prompts.
FLAGSHIP CASE · TRUSTGENIE
AI answers are useful. Verifiable AI answers are better.
The experience keeps governed logic and source evidence within reach of the answer.
Evidence, not vibes.
TRUSTGENIE / EVIDENCE PATH
ILLUSTRATIVE ANSWER
Product categories can be compared by governed net sales, with the calculation and sources available for review.
Inspect the logic before acting
QUESTION → LOVABLE → GENIE → GOVERNED SQL → DATA → ANSWER → EVIDENCE
INDUSTRY LEAD · COMMUNITY FIRST
Building in Public. Helping Others Build Better.
I'm Brahma Reddy — a data engineer by profession, Lovable Industry Lead for Data + AI, builder of many Data + AI proof-of-concepts, and an honourable mention in the Databricks worldwide hackathon. My goal is simple: share real patterns, real architecture decisions, real mistakes, and reusable build guidance so more people can turn data and AI ideas into useful applications.
01Explore proven patterns
02Learn from real applications
03Avoid common build mistakes
04Start with reusable prompts and blueprints
CHOOSE A BUILD PATH
Start with the time you have.
LATEST FROM THE BUILD
Why I Built Data + AI Frontier: From Data + AI Ideas to Useful Apps
A practical guide for turning a business problem into an architecture, a Lovable experience, and a Databricks-powered Data + AI application.
FROM THE BUILD
Useful notes from making the apps.
“The answer alone was not enough. Users needed evidence.”Explore Data + AI Frontier Insights
COMMUNITY CHALLENGE · NOW COLLECTING
Let’s Build 100 Useful Data + AI Apps.
Share what you are building and the lesson another builder can reuse. Every submission is reviewed before it appears publicly.
No rankings. No invented counters. Just practical applications and honest lessons.