AI · alternatives · 2026
24 alternatives to Agents.blue – learn LLM prompting interactively in <10 minutes
tl;dr - today i'm launching agents.blue, where you can learn prompting and master working with LLMs, for free, instantly (no sign in required) Last week at Law x LLM Hackathon, I met a lot of amazing engineers, lawyers and more who want to build with LLMs, but they didn’t know how to prompt effectively. The online resources out there are a lot of reading, but not a lot of doing, and in my experience as an engineer and TA, doing is the best way to learn. agents.blue is the free, fast, and interactive tutorial to go from zero to the cutting edge of prompting in under 10 minutes, so you can…
Agents.blue is an interactive tutorial for learning LLM prompting without signup. Designed for engineers, lawyers, and builders new to working with large language models, it teaches effective prompting techniques in… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Agents.blue – learn LLM prompting interactively in <10 minutes launched in 2023; newer entries below may have overtaken it.
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Integrate LLMs into your product in minutes with AI's help
2023 · outset.ai · its alternatives →
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Promptology▲232AI prompt engineering business model guide
2023 · shushantlakhyani.gumroad.com · its alternatives →
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Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…
2024 · jigsawstack.com · its alternatives →
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Build & run AI agents on free premium LLMs
2025 · toolhouse.app · its alternatives →
- 5AP
2023 · promptperfect.jina.ai · its alternatives →
- 6SP
I built a system that lets LLMs automatically learn and improve problem-solving strategies over time, inspired by Andrej Karpathy's idea of a "third paradigm" for LLM learning. The basic idea: instead of using static system prompts, the LLM builds up a database of strategies that actually work for different problem types. When you give it a new problem, it selects the most relevant strategies, applies them, then evaluates how well they worked and refines them. For example, after seeing enough word problems, it learned this strategy: 1) Read carefully and identify unknowns, 2) Define…
2025 · its alternatives →
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Hi HN! We launched bloop 10 weeks ago (https://news.ycombinator.com/item?id=35236275) and received a huge amount of feedback (both positive + constructive). We've undertaken a rewrite of the core search framework, which now acts as an LLM agent, significantly improving the number of queries that can be successfully answered. There's a bunch of hype surrounding LLM agents, but we're positive this is one of the first implementations of an agent that can deliver immediate value for engineers working on existing projects, especially larger ones. We'll do a full write up of how the…
2023 · github.com · its alternatives →
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Your best prompts built for you. Using the best LLM.
Feb 2026 · promptanything.io · its alternatives →
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Test LLM prompts & models side-by-side against many inputs
2024 · its alternatives →
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The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
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I've been playing with the idea of an LLM prompt that causes the model to generate and return a new prompt. https://github.com/andyk/recursive_llm The idea I'm starting with is to implement recursion using English as the programming language and GPT as the runtime. It’s kind of like traditional recursion in code, but instead of having a function that calls itself with a different set of arguments, there is a prompt that returns itself with specific parts updated to reflect the new arguments. Here is a prompt for infinitely generating Fibonacci numbers: > You are a…
2023 · github.com · its alternatives →
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folio▲74hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…
Apr 2026 · usefolio.ai · its alternatives →
- 14RA
Hey everyone! Along with my team, I've developed a reinforcement learning system that automatically optimizes LLM prompts, complete with a visualization feature to track both prompt structure and learning progress over time. Take a look here: https://nomadic-ml.github.io/nomadic/cookbooks/Nomadic_Promp... Check out our website too:https://www.nomadicml.com/ In terms of how this visualization works: The RL Prompt Optimizer employs a reinforcement learning framework to iteratively improve prompts used for language model evaluations. At each episode, the…
2024 · nomadic-ml.github.io · its alternatives →
- 15PE
Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.
2022 · learnprompting.org · its alternatives →
- 16
Spelltest framework simulates conversations between AI ‘synthetic users' in an environment to test and refine LLM-based applications. It ensures your app converse with utmost accuracy and relevance. Post-chat, Spelltest assesses responses, providing qualitative and quantitative feedback on performance. Suitable for both chat and completion modes. When to use: - After modifying your prompt. - When your LLM provider updates. - As a CI step for you repo. All feedback and collaborations appreciated!
2023 · github.com · its alternatives →
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Experiment with, and evaluate, prompts and LLMs
2023 · its alternatives →
- 18RA
Hi HN, we are the founders of Relari (https://www.relari.ai). We launched our LLM evaluation stack on HN a few months ago (https://news.ycombinator.com/item?id=39641105), which is now used in production by AI teams at companies like Vanta and PwC. We have since expanded to directly optimizing parts of an LLM pipeline using a data-driven approach. In particular, we see a lot of potential in the Auto Prompt Optimization—which could be an attractive alternative to fine-tuning in many cases—to use data to align LLMs for domain-specific tasks. Here’s a demo video:…
2024 · its alternatives →
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30+ business prompts ready to use for your favorite LLM
2025 · promptn.ai · its alternatives →
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Free AI Prompt Optimizer - Improve Your AI Prompts Instantly. Supports ChatGPT, Claude, and all major AI models.
2025 · mindpal.space · its alternatives →
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Super Prompt▲15⚡ SuperPrompt: Prompt Engineer - FREE & No API Keys Required
2025 · chromewebstore.google.com · its alternatives →
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Ask Steve unlocks the power of LLMs like ChatGPT and Gemini in every web page. It's like Github Copilot but for everyday work in the browser. - Create reusable prompts (“Skills”) that can be used on any web page or text selection. Over 100 are included. - Right click on any page or text-selection to run a Skill on it - Chat with any page to quickly get summaries, extract key information or run a Skill on it - Get help writing, rewriting and editing in any text field with Skills for content creation & editing - Add AI buttons to any web page that enable you to trigger a Skill with 1-click.…
2024 · chromewebstore.google.com · its alternatives →
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Hi HN, We're a small team building AI tutors out of India, and as you might guess, this means we spend a ton of time writing, testing, and refining prompts for LLMs. When we started out, we were using the OpenAI playground but things became tedious when we wanted to compare responses from different models. We tried a bunch of other playgrounds but found them lacking in some features so we built our own. Quick Links: Github: https://github.com/supernova-app/ai-playground Hosted demo: http://playground.getsupernova.ai Demo video:…
2025 · playground.getsupernova.ai · its alternatives →
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Promposer.AI▲10Recently I found myself spending too much time testing edge cases when building LLM agents. Re-running the same case over and over again really kills the vibe and takes the fun out of building. As Andrej Karpathy (and others) have said, it should really be called “context engineering” rather than prompt engineering. Writing instructions is the easy part. The hard part is providing the right context and tools while staying within context window limits. And evaluation is the slowest step. That’s the main purpose of Promposer: to handle evaluations for you, so you can focus on improving prompts…
2025 · promposer.ai · its alternatives →
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