Getting a model to produce the right output is the part everyone works on. Turning that output into something people will actually use is the part that decides whether an AI feature ships. This talk is about that layer, the one between model output and the…

In this talk, I’ll show an agent publish a service, another agent discover and invoke it, and a signed receipt that proves what happened. The point is simple: if agents are going to buy, sell, and compose work across hosts, logs and API dashboards are not…

As part of a GTM motion, an AI agent goes live on the site. The first visitor lands. The conversation starts. That's the moment everyone optimizes for- the right conversation, the right offer etc.. It's the wrong moment.

A well-built AI GTM system does something…

Ask an agent to find every night-time pedestrian frame across terabytes of dashcam video in S3. The first pass can cost thousands of dollars and run for hours or days. Once you’ve paid that cost, the agent’s favorite move - loop, inspect, re-derive - becomes…

Most enterprise agents fail for the same reason: the model can generate SQL, call tools, and follow workflows, but it has no understanding of how the business actually defines its data. Most teams try to fix this with longer prompts, more RAG, or a bigger…

My AI voice tutor doesn't run on a frontier model. It runs on a small one, and the reason isn't cost. It's that voice lives or dies on latency, and the scaffolding around the model is what makes it feel smart anyway.

When you build a voice agent the clock…

The LLM in my voice tutor doesn't decide when the lesson is over. It doesn't decide whether the user got the answer right. It doesn't decide which step comes next. A harness does all of that. The LLM just shows up and talks.

Every engineer who's tried to…

Run the same task twice, and sometimes you get two materially different answers. While many dismiss this as the "stochastic nature of LLMs," this inconsistency is a critical product flaw that destroys customer trust—especially in high-stakes fields like cybersecurity…

Votre CV en ligne sur le site de France Travail, un métier en tension, un rendez-vous raté il y a 2 ans ? Ce sont 3 des 26 variables qu'un algorithme ...

Spain claimed its second World Cup championship after defeating Arg...

Send personalized emails to hundreds of people directly from Gmail using a 100% free mail merge add-on.

In this step-by-step tutorial, I'll show you how to install my free Gmail Mail Merge add-on, connect it to a Google Sheets spreadsheet, personalize emails…

Craig Wright joins the suits in their support of non-monetary use of Bitcoin and ridicule of BIP-110 🤷‍♂️

Good notification to start the morning. 🌊

It's not all rosy in the world of open-source software.

Why not give it a try?

Hugging Face vient de raconter sur son site comment son infra de production s'est fait défoncer par un essaim d'agents IA autonomes. Le point de départ, ...

Maik Klotz, un développeur allemand, a sorti une app menu bar qui repeint votre Mac aux couleurs de Snow Leopard, System 6, Windows 98 ou encore BeOS. Elle ...

The US is not a capitalist country.

🔴 LTHs are in the red, they’re currently realizing more losses than profits according to their SOPR.

—💡The Spent Output Profit Ratio is a metric that calculates the realized profit/loss ratio when a UTXO is spent.
In this chart, only LTH UTXOs are counted.…

The IMF has spent years warning countries not to adopt Bitcoin.

El Salvador ignored them.

El Salvador's Bitcoin position is now in profit. The IMF's credibility is not.