AI Leverage Field Guide
Free AI workflow guides for professionals who hate hype
What it does
A free, interactive field guide that teaches working professionals — managers, writers, operators — to get more out of AI without becoming AI experts. Learn the Leverage Loop, generate falsifiable stop conditions with the built-in builder, and follow a 10-week curriculum across five role tracks. Everything runs in your browser: no account, nothing transmitted. Open source (CC-BY-4.0), every idea traced to a catalog of 188 books.v
Does the same job
all alternatives →
Loop by ads.expertJun 2026 · trylooped.ai · ▲31The flight simulator for paid media, with built in AI coach
Loop EngineeringJul 2026 · loopengineering.app · ▲6Design safe, token-aware AI agent loops — free, no sign-up
- TSThe Secret Tool Lets You Build ML Models During Meetings2024 · ▲6
Hello Hacker News community! I'm currently working in financial risk management within the banking sector, and I began my career as a Data Science specialist. For quite some time, my friend and I have been developing a small pet project just for fun. This tool has repeatedly helped us save time when testing various hypotheses and machine learning models. The core idea is to combine different scripts—created in various programming languages and virtual environments—within a minimalist graphical interface. Whether you're building models, running a local neural network, or sending requests to…
- EAElaborate AI – Generate Slides and Speaker Notes from Your Outline2023 · ▲9
We've just unveiled our brand new service, Elaborate AI, and it's a game-changer for anyone who has to create presentations. With this innovative tool, you can turn your simple outlines or even topics into professional slides and speaker notes with ease. Here are just a few examples of who could benefit from using Elaborate AI: - Team leaders: Generate slides for your weekly progress reports with ease. - Project managers or researchers: Present your insights and research on a topic in a polished and professional manner. - Educators: Create educational materials from your content quickly and…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com