Ask Steve Chrome Extension – Get AI help where you work
Hi HN! When I was the Product Management lead for HR Tech at Google, I thought there were several opportunities to integrate LLMs into our tools to make employees more efficient. Managers could get summaries of peer reviews, recruiters could quickly generate personalized outreach letters to candidates, etc. But I had 3 big problems: 1. Third Party Systems: A lot of work happens in Salesforce, Workday, SAP, etc. And we had no way of modifying that code to integrate what we wanted. 2. Legacy Systems: A lot of the tools in our portfolio were oooold, and nobody really wanted to go in and mess…
Ask Steve Chrome Extension – Get AI help where you work launched on May 16, 2024 with 9 votes, #1,332 of 4,539 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
Save an hour a day with NO CODE! Ask Steve's AI Agents give you 1-click access to AI help on any web page.
Unlike chatbots that are in a separate window or product copilots that are limited to a single application, Ask Steve agents work on any website or web application. Now AI agents can help you right where you already are. The future of AI is UBIQUITOUS Ask Steve's AI Agents can read the current page or text selection and use that as context for your request, saving you time and effort. The future of AI is CONTEXTUAL Ask Steve is the only AI browser extension designed for enterprise deployment - it runs on the employee's computer and connects directly to the LLM, Webhook or API that you specify. None of your data is ever sent to or through Ask Steve. The future of AI is HERE Enable your…from asksteve.to
In the maker’s words, at launch
Hi HN! When I was the Product Management lead for HR Tech at Google, I thought there were several opportunities to integrate LLMs into our tools to make employees more efficient. Managers could get summaries of peer reviews, recruiters could quickly generate personalized outreach letters to candidates, etc. But I had…
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Why write code if the LLM can just do the thing? (web app experiment)Nov 2025 · github.com · ▲436I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
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I've been deeply involved in working with AI agents and large language models (LLMs) for a while now. During a recent job search, I found myself repeatedly explaining my skills and experiences to various assistants. Around the same time, I was creating content for my website to help hiring teams understand my capabilities better and make informed decisions. MCP had started to gain momentum and I saw a way to reduce my toil. So I built an MCP server that can effectively communicate my qualifications as a job candidate. This server acts as an AI-powered resume, providing an understanding of my…


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Revolutionize LLMs chat platform with pay-as-you-go pricing
Overbooked2025 · overbooked.app · ▲12Hi HN, Many people underestimate the importance of context when using LLMs. I used to fire off vague prompts like: “Hey, build me the X tool” or “Generate a long-form article on Global Warming”. and got generic, sloppy responses. Turns out, the problem wasn’t just the prompts, I needed a more systematic solution. So I started building AI capabilities into our agency’s management tool, Overbooked. After hours of iteration, I realized how powerful it is when you combine structured data with the right agent tools. There are two sides to the coin: Using the MCP Server inside the IDE You can…
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