Ganesh Chand

Building at the intersection of data, AI, and product.

recent writing

Six paper file folders scattered on the left, and on the right one sheet of paper with two pairs of reading glasses inside a blue dashed rectangle with a check mark

Nov 12, 2026 · 7 min read

The sixth tab

Enterprise AI stalls when it becomes one more place to look. The number that shows it, and the fix: one shared record, in the tools people already use.

#ai-transformation #agents #enterprise #adoption

A blank checklist on a wooden clipboard and a brass room key with a navy tag inside a dashed boundary with a check mark; beside it, a wristwatch in a grey lost-and-found tray

Nov 5, 2026 · 7 min read

The watch shouldn't be in a ready room: illegal states in agentic systems

When agents write records about the real world, the safest fix is to make the bad record impossible to write, not to repair it later. A hotel story and one small diagram.

#agents #production #state #design

A blank ruled index card with an arrow and a stack of order slips covered in tally marks, inside a dashed boundary with a check mark; below, white tulips in a kraft-paper cone

Oct 25, 2026 · 5 min read

What is AI?

Sam wants to send Elena tulips for her birthday. The flower-delivery site shows him roses first. What part of that is AI? The first of eight short posts on how AI works.

#ai-literacy #ai #agents

A navy ledger kept inside a dashed boundary with a check mark, beside loose and crumpled paper copies outside it

Oct 6, 2026 · 10 min read

Is your data layer ready for agents? The case for Lakebase

Agents need a disposable workspace and a durable record. Here's where Databricks Lakebase fits, in plain terms, and what it still leaves to you.

#agents #databases #lakebase #postgres #production

A grid of nine practice cutting boards, some messy; one clean board inside a dashed boundary with a check mark, and a padlocked box beside the grid

Sep 29, 2026 · 7 min read

When the database's newest user is an agent

When a whole company books travel through agents, the database gets a new kind of user: many, fast, and often wrong. What that asks of the data layer, and why branching alone isn't enough.

#agents #databases #dba #branching #production