BENGALURU, INDIA · · IST
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BENGALURU

byshashank.

Globally fluent · Asia-rooted

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№ 02Workhorse

The Human Layer

Putting AI inside a working, distributed team.

Real, anonymised lessons from deploying AI to a distributed services team in India. Trust calibration, context management, and why judgment — not prompts — is the scarce resource.

7 essaysThe Edition frontFiling since 2024Updated JUN 2026
Into the edition
On the cover№ 02 · JUN 2026
This desk, set as an edition — a lead, the curated rows, and the live wire.The Edition · № 02 · JUN 2026

The lead

the signature read · Teams

TeamsDeep · 9 min

A Management Problem in a Technology Costume

Every failed AI rollout I've seen was a management failure wearing a model's clothes.

By Shashank9 min read
Read the full essay →

Deep cuts

3 essays

Long-form, load-bearing essays. Block out the time — these reward it.

Context

Context Is the New Headcount

What you can load into the model's working memory is now a staffing decision, not a technical one.

Deep8 min

Field notes

1 notes

Observed close-up, written fast. Reporting from inside the thing as it happens.

Practice · Bengaluru

Judgment Over Prompts

Stop hiring prompt engineers. Start training the judgment that decides what to do with the output.

Field note6 min

Quick reads

2 reads · under 7 min

One idea, in and out. For the gap between meetings.

In series

read in order

Field Notes from a Rollout

Dispatches from putting AI inside a real services team.

  1. A Management Problem in a Technology Costume

    Every failed AI rollout I've seen was a management failure wearing a model's clothes.

    Deep
    9 min
  2. Anonymising Lessons Without Losing Them

    How to write honestly about your team's AI mistakes without naming a single person.

    Quick
    5 min

Where this desk connects