● latest by date
ESSAY

Editable context needs a protected ledger

A self-editing context can save compute while rewriting its own evidence; keep approvals, actions and rejected paths in an append-only ledger.

read the essay →5 min read · #agents
DAY
127
article date
content calendar · 2026today · day 127
lessmore

latest drops

374 entries
ESSAYday 127·today

Editable context needs a protected ledger

A self-editing context can save compute while rewriting its own evidence; keep approvals, actions and rejected paths in an append-only ledger.

5 min read#agents
Editable context needs a protected ledger
POSTday 126·yesterday

Security findings need a reachability receipt

#security#ai-agents
Security findings need a reachability receipt
POSTday 125·2d ago

AI research needs an interest gate

#scientific-ai#evaluation
AI research needs an interest gate
ESSAYday 124·3d ago

Karpathy’s four ideas, turned into working examples

Four Karpathy ideas become tested GPT-6 Astra examples: a clear PDF, a diagram, an interactive page and a video, with screenshots and 16 prompts.

13 min read#gpt-6-astra
Karpathy’s four ideas, turned into working examples
LINKday 124·3d ago

Headcount makes agent write boundaries inspectable

Headcount turns agent roles into checkable file ownership, but its diff guard needs attributable changes before parallel work is mixed together.

↗cbrock84 / Headcounthttps://github.com/cbrock84/headcount
#weekly-shares#try
Headcount makes agent write boundaries inspectable
POSTday 124·3d ago

Robinhood Agents need an incentive boundary

#ai-agents#fintech
Robinhood Agents need an incentive boundary
ESSAYday 123·4d ago

Observal turns local AI tools into shared capabilities

Observal gives teams a shared registry for AI coding tools, with reviews, native installation and session feedback to guide a practical pilot.

5 min read#ai-engineering
Observal turns local AI tools into shared capabilities
ESSAYday 123·4d ago

An agent gateway needs a bypass budget

An agent gateway becomes a control only when teams measure direct-call bypasses, credential exceptions, ownership gaps and revocation time.

5 min read#mcp
An agent gateway needs a bypass budget
VIDEOday 122·5d ago

Scientific AI needs the experiment trace

Periodic Labs shows why scientific AI needs stitched experiment lineage; its internal XRD results are promising, not proof of discovery.

#scientific-ai#evaluation
Scientific AI needs the experiment trace
POSTday 120·7d ago

Long tool observations need a separate prefill budget

#agents#inference
Long tool observations need a separate prefill budget
explore all drops →
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
Archive374+ 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 374+ 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.