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A five-minute orientation, then a path in.

In short: AndyMental is one free, evidence-first drop a day on applied enterprise AI. This page tells you what it is, how to read it, and which of the six threads to start with.

Updated 29 September 2026

# What this is

AndyMental is applied enterprise-AI field notes by Anand “Andy” Padia — Global Head of GenAI at Trigent, shipping AI in production and writing down what actually holds. Every piece is evidence-first: a named model, paper, or incident with a date and a number, and one original claim about what it means for a working engineer or tech leader. No hype, no doom, no vendor copy. One drop a day.

# How to read it

This is a running field notebook, not a course — you don’t have to read it in order or catch up on everything. A few things worth knowing:

  • One drop a day. Short field notes, occasional longer essays, TILs, and videos — each stands on its own.
  • Evidence over opinion. Every claim carries a named case, or it’s labelled as judgement.
  • Free forever. No paywall, no gate. Read anything; subscribe if you want it in your inbox.

# Choose a path

The drops are organised into six threads. Pick the one closest to what you’re working on — each opens a curated stream of every drop in that area.

Agent engineering →
Build the loop, define its boundaries, and decide when an agent should stop.
Evaluations and reliability →
Read model claims against tests, failure cases and reproducible evidence.
Security and permissions →
Follow the path from tool access to credentials, boundaries and incident evidence.
AI economics →
Examine pricing, infrastructure costs and the evidence behind returns on AI spending.
Enterprise adoption →
Connect adoption claims to workflows, incentives and organisational decisions.
Search, discovery and media →
Explore how AI changes finding, attributing and distributing useful work.

# Three ways in

# Get one drop a day

If it’s useful, have it come to you. Subscribe for one drop a day by email — free, one-click unsubscribe, no spam. Or follow along on LinkedIn.

about this site

AndyMental, in one page

# In short

AndyMental is one free, evidence-first drop a day on applied enterprise AI — agent engineering, model economics, evaluation, security and adoption — written by a practitioner shipping it in production.

# What you get

PriceFree — no paywall, no gated archive
CadenceOne new drop every day
Archive383+ drops, all readable in full
FormatsField-note essays, TILs with working code, quick takes, curated links and videos
NewsletterOptional and free — one drop a day by email, one-click unsubscribe
AuthorAnand “Andy” Padia, Global Head of GenAI, Trigent Software

# Who writes this

Anand “Andy” Padia — Global Head of GenAI at Trigent Software, author of Orchestrating Intelligence, building AndyMental in public.

“Share without worrying. Ship daily. Change by sharing.”
— Anand “Andy” Padia, from the manifesto

# Why it’s different

  • Evidence-first: every claim names a specific model, paper, incident or launch with a date, or is labelled as judgment.
  • Written by a practitioner shipping enterprise AI in production, not a commentator summarising the news.
  • Contrarian when the evidence allows, never hype and never doom — one original claim per drop.
  • Free, daily, and readable in full — no paywall, no gated archive.

# How readers use it

# FAQ

What is AndyMental?

Daily, evidence-first field notes on applied enterprise AI — agent engineering, model economics, evaluation, security and enterprise adoption — written by Anand “Andy” Padia, Global Head of GenAI at Trigent, from building AI in production. One drop a day.

Is it free?

Yes. Every drop is free to read in full, with no paywall and no gated archive. The optional email newsletter is free too.

How often is it updated?

One new drop every day. The archive currently holds 383+ drops and grows daily.

How do I follow along?

Subscribe for one drop a day by email, follow Andy on LinkedIn, or use the RSS feed. If you are new, the Start here page lays out a path through the six main threads.

Who is it for?

Working engineers and tech leads shipping AI in real organisations — readers who want evidence and a decision they can act on, not hype.

Where do the claims come from?

Every drop names its source — a specific model, paper, incident or launch with a date — and links the primary reference. First-person practitioner judgment is marked as such rather than dressed up as fact.