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ContextGuard uses DataHub lineage to detect schema changes that threaten ML models, block risky PRs, and suggest safe fixes.
contextIsKey uses DataHub’s context graph and MCP to map requirements, trace cross-domain impact, generate investigation SQL, and produce evidence-backed fixes before data changes cause outages.
Unplanned: for travelers who didn't plan. Tell it what you're into, it finds, books, even calls the venue to lock in your night. From lost to a booked evening in under a minute.
An agent that finds the silent failures in your dbt warehouse — green build, green tests, wrong revenue — proves them empirically, and hardens against them.
Ripple AI: Autonomous Self-Healing Data Pipeline
An AI-powered DataHub agent that detects metadata, lineage, governance, and data-quality issues, explains their business impact, and generates actionable SQL fixes.
Automate data reliability checks with metadata intelligence – DataGuardian scans datasets, assesses production risks, and proposes fixes before they break downstream pipelines.
Type a topic, get a talk show. I use 7-stage AI Agents with workflows: grounded research, three-pass writers' room, neural voices, video gen with frame chaining. All of done on Gemini, Cloud SQL, Veo.
enjoy the little things in life, and enjoy them even more with community
letters to strangers
This is an adaptvie revision timetable planner that helps students prepare for exams while managing the stress of revision, school and out-of school commitments using the power of AI
A powerful Agentic-Ai application that converts natural language queries into SQL commands and executes them against your database. Built FastAPI, Paritok, and Langgraph.
Your next production budget may already be in your last cut. CINEYIELD uses Gemini, Google Flow and ClickHouse to turn finished scenes into sponsor opportunities—with the filmmaker in control.
Approval-gated agent memory on CockroachDB: chatter stays ephemeral and only PDX-verified + human-approved lessons become VECTOR-recallable runbook memory via Bedrock + Managed MCP.
Ask questions in plain English and let DataQuery AI turn them into SQL instantly, identify relevant data, and explain the query—making data analysis faster and accessible to everyone
An autonomous agent using DataHub metadata context to detect untagged PII, generate masked dbt transformation models, and write governance tags & assertions back to the Context Graph.
The blast-radius gate for data model PRs. Missing lineage never returns SAFE.
Mission control for production ML on DataHub lineage
Generates dbt staging models, tests and docs from DataHub metadata over MCP — and proposes the metadata first. A PII tag in the catalog becomes a masked column in the generated SQL
SabiStock AI lets African small business owners run their books by talking to WhatsApp — in English or Pidgin. No forms, no training. Live in production today, powered by Gemini.
Know the downstream blast radius of schema changes before you merge.
The algorithm that helped landlords fix rent got sued. CouchBumming gives renters that same memory back.
A stack trace for model decay. Give it a degraded model and a vague complaint, and it walks DataHub's ML lineage to the column that broke it, prices the damage in dollars, and opens the PR.
Know what got into your model. Ariadne walks DataHub lineage to name the column that reached a deployed model, then files the finding back into the catalog as an incident.
