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AI Radar

AI Radar

What is buzzing in AI

New words, tools and trends, explained in plain English, so you always know what people are talking about.

Updated 6 hours ago10 new this weekGet it by emailRSS feed

AllBuzzwordTrendNew releaseHappening nowExplainer
BuzzwordRisingTop story6 hours ago

Model Context Protocol (MCP)

MCP is an open standard that lets AI apps connect to tools and data in one common way, so nobody has to build a custom link for every app and tool pair.

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Why it matters

Job posts for agent roles now list MCP. It is the quickest way to give an assistant safe, controlled access to your files, tickets and databases.

Learn it properly →
#agents#protocolsOpen as its own page to share
BuzzwordRising6 hours ago

Agentic AI

Agentic AI plans and takes steps on its own, using tools, instead of only answering one question at a time. It can search, decide, act and check its work.

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Why it matters

Most new AI jobs, from agent engineer to product manager, are about building, running or judging these systems.

Learn it properly →
#agentsOpen as its own page to share
BuzzwordRising6 hours ago

Context engineering

The skill of choosing what a model sees for a task: the instructions, the right documents, the memory and the tool results, and leaving out the rest.

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Why it matters

Better context beats a cleverer prompt. It is why two teams using the same model get very different results.

Learn it properly →
#prompting#agentsOpen as its own page to share
TrendRising6 hours ago

Voice agents

AI that holds a spoken conversation: it listens, thinks and answers in a natural voice, so it can book, answer or support callers on the phone.

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Why it matters

Businesses are adding them to phone lines, and people who can build and test one are in demand.

Want to build one? Follow the voice agent playbook, which takes you from a phone call to a safe, tested agent in eight steps.

Learn it properly →
#voice#agentsOpen as its own page to share
BuzzwordSteady6 hours ago

Vibe coding

Describing what you want in plain language and letting an AI write the code, then guiding it by testing the result instead of writing every line yourself.

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Why it matters

It lets non-programmers build prototypes. You still have to test, read and secure what it makes.

Learn it properly →
#codingOpen as its own page to share
ExplainerRising7 hours ago

AI evals

Evals are repeatable tests that score an AI feature on real cases, so you can tell whether a change made it better or worse.

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Why it matters

Teams that ship reliable AI test it on every change. Evaluation is now a job title of its own.

Learn it properly →
#testing#qualityOpen as its own page to share
BuzzwordSteady7 hours ago

Reasoning (thinking) models

Models that spend extra time working through a problem step by step before they answer. That helps with hard maths, code and planning, at higher cost and delay.

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Why it matters

Knowing when to turn thinking on, and when it is wasted money, is a practical skill for any AI builder.

Learn it properly →
#models#costOpen as its own page to share
TrendRising7 hours ago

Small language models

Compact models that run on a laptop, a phone or a small server. They are cheaper and faster, keep data on your device, and can be very good at one focused job.

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Why it matters

They make private and offline AI possible, and they cut the cost of high-volume tasks.

Learn it properly →
#models#cost#privacyOpen as its own page to share
ExplainerSteady7 hours ago

Prompt injection

A trick where hidden instructions in a web page, email or file make an AI follow an attacker's orders. It is the main security risk for agents that read outside content.

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Why it matters

Anyone building agents is expected to know how to limit the damage a fooled model can do.

Learn it properly →
#security#agentsOpen as its own page to share
BuzzwordNew7 hours ago

Agent-to-agent (A2A)

A young standard that lets AI agents from different makers hand tasks to each other and follow progress, the way colleagues would.

ReadClose

Why it matters

It is how separate agents may one day cooperate across companies. It is still early, so expect it to change.

Learn it properly →
#agents#protocolsOpen as its own page to share

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