EdWagon Blogs

Notes from the
AI-first classroom.

Field notes from practitioners — how teams ship AI products, what AIOps looks like in production, and the career playbooks that actually work in 2026.

Latest

Engineering

Small language models are eating the easy 80%

The interesting question in 2026 isn't 'which model is smartest?' — it's 'how little model can I get away with?' For most tasks, the answer is surprisingly little.

Vikram Rao19 Jun · 7 min
Engineering

Reasoning models and test-time compute: the new scaling axis

For years, 'make it smarter' meant 'train a bigger model.' Now there's a second dial: let the model think longer at inference. It changes the economics of hard problems.

Rahul Sharma16 Jun · 7 min
AI PM

RAG isn't dead — it grew up into context engineering

Every few months someone declares RAG dead because context windows got bigger. They're missing the point. The work just moved up a level.

Anaya Khanna12 Jun · 6 min
AI PM

AI evals are the new unit tests

If you can't tell me how you'll know the model is doing its job, you can't ship it. Evals are how AI teams move fast without breaking things.

Karthik Iyer9 Jun · 6 min
Engineering

The inference cost curve: cost-per-token as a product decision

Every AI product decision is also a cost decision. The teams that treat inference spend as a design constraint from day one are the ones with a business at scale.

Meera Pillai5 Jun · 7 min
Engineering

Open-weight vs closed models: how to actually choose in 2026

The honest answer is 'it depends' — but it depends on a small number of things you can actually reason about. Here's the framework we use.

Vikram Rao2 Jun · 6 min
Engineering

On-device and edge AI: the quiet shift

The loudest AI story is the biggest models. The quietest — and maybe more consequential for products — is that good models now fit on the device in your pocket.

Priya Menon28 May · 6 min
Career

The AI engineer skill stack for 2026 (and how to build it)

If you're studying AI right now and wondering what's actually worth learning, this is the honest map — the skills hiring teams test for, in the order that compounds.

Anaya Khanna24 May · 8 min
AI PM

AI governance and the EU AI Act: what builders need to know now

You don't need to become a lawyer. But if you ship AI in 2026, 'we'll deal with compliance later' is no longer a strategy. Here's the builder's version.

Rahul Sharma20 May · 7 min