Stop letting the prompt be your state machine You shipped an LLM feature six months ago. Now the same user input produces wildly different outputs depending on... nothing you can point to. Something in the sampling? The time the context filled up and a chunk got dropped? Nobody knows. This is what happens when the prompt becomes your runtime. The trap: the prompt as an accidental runtime Here is what the trap looks like in TypeScript: async function handleUserRequest ( input : string ): Promise < string > { const prompt = ` You are a helpful assistant. The user said: ${ input } Previous context: ${ someGlobalContext } Decide what to do, gather any information you need, format the response, and return it. ` ; return llm . complete ( prompt ); } The model is doing everything here: deciding the intent, gathering data, formatting output, choosing what to persist. That is a footgun. You handed the runtime to a stochastic function. Gartner attributes many failed agentic AI projects to unclear value and inadequate risk controls. Deterministic, testable workflows address both. The fix is not a better prompt. The fix is to stop using the prompt as an architecture. What "deterministic" can and cannot mean here Be honest about what you can and cannot control. You cannot control: the model's exact output. It is probabilistic by design. You can control: The shape of the output (structured output plus schema validation) The steps that run before and after the model call What data enters the model What happens when the output fails validation Whether a human reviews the result before it commits to anything irreversible Determinism here means: the same inputs, the same workflow steps, the same guardrails every time. Not the same tokens every time. That is a realistic and achievable target. It is also the thing teams skip when they are moving fast. Typed workflow steps around the model call Break the work into discrete typed steps. Each step has a clear input type and a clear output

What Recruiters Can't See On My GitHub If you spend about 30 seconds looking at my GitHub profile, you might think I'm all over the place. React. Python. Healthcare. AI. Scrapers. Automation. Marketing tools. Job bots. Honestly, that's something I've worried about. I have over 100 repositories. Recruiters can see most of them, but not all of them. Some are private because they're client work. Some are private because they're unfinished. Some are private because they contain ideas I've spent years developing and I'm not quite ready to throw the blueprints onto the internet. From the outside, it can look random. But recently I realized something. All of those projects are solving the same problem. I hate repetitive work. My GitHub is here: https://github.com/ashb4 The Job Application That Broke Me I've applied to thousands of jobs over the years. Thousands. And one thing has always driven me absolutely insane. You upload your resume. Then the company immediately asks you to type your entire resume into fifteen different boxes. Your work history. Your education. Your skills. Everything. The computer already has the information. The resume is right there. Yet somehow I'm sitting on page seven of an application retyping information that already exists. It feels inefficient. It feels stupid. And most of all, it feels like a waste of time. Eventually I got annoyed enough to start building tools to help. Then I Noticed a Pattern At first I thought I was building unrelated projects. A job application helper. A content scheduler. A healthcare platform. An AI framework. A browser automation system. But when I stepped back, I noticed the same motivation behind almost all of them. Every project started with some version of: "There has to be a better way to do this." Take PostPunk. Most people see a social media scheduler. I see hours of repetitive posting that I never want to do again. I like creating content. I do not like manually posting the same content everywhere. So I buil

Google’s Android 17 update includes highlights like new floating “Bubble” app windows for easier multitasking, a Screen Reaction recording mode, and a 50/50 split gaming mode for foldable phones. Meanwhile, Wear OS 7 brings Live Updates, better battery life for smart watches, and prepares connections for new Android XR smart glasses that will launch this […]

These might not be the most popular or well-known Apple Watch features, but we think they're worth using and setting up.

Qualcomm's CEO said today that the company is working on over 40 new AI hardware designs

Warm weather has fueled a bloom that National Park Service workers are trying to kill using everything from hydrogen peroxide to nanobubbles ahead of July 4 celebrations.

Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and

In some markets, new Xfinity customers can get their wifi set up same-day.

A security researcher said a flaw in FIFA’s online platforms allowed her to access several internal systems, including one that could have allowed her to take control of the TV stream of every World Cup match.

Pentagon also claims 1.5 million personnel are using generative AI tools.

Pixels will get their OTA in the coming weeks, but don't expect monumental changes.

Following its official debut last month, Google is now rolling out Android 17 to compatible Pixel phones, alongside additional exclusive features as part of the June Pixel Drop. Not every feature announced alongside the OS at the pre-I/O Android Show is available today though. Android 17 itself is arriving on Pixel phones today, and Google […]

Google's Wear OS 7 update is starting to roll out today for the Pixel Watch 2, 3, and 4 , adding a new Live Updates feature that tracks live events from your Android smart watch. Live Updates will now sync with Wear OS devices, so updates like sports scores or an ongoing meal delivery will […]

Google has released Android 17 and Wear OS 7, introducing new multitasking features, parental controls, security tools, and smartwatch upgrades. The launch is also accompanied by a Pixel Drop that brings Google’s latest AI models to its devices.

Google has started rolling out Android 17.

Wear OS 7 is now live for Pixel watches, with a new interface, notifications and Gemini features.