AI · alternatives · 2026

24 alternatives to System Prompt Learning – LLMs Learn Problem-Solving from Experience

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…

System Prompt Learning is a framework that enables large language models to automatically build and refine problem-solving strategies over time rather than relying on static prompts. The system creates a database of… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1AP
Automatic prompt optimizer for LLMs▲126
2023 · promptperfect.jina.ai · its alternatives →
2
Recursive LLM Prompts▲97
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 →
3
Prompt Engine – Auto pick LLMs based on your prompts▲93
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 →
4
2000 Large Language Models (LLM) Prompts▲106
Unlock your knowledge with 2000 LLM prompts
2023 · miguelanticonam.gumroad.com · its alternatives →
5
Promptology▲232
AI prompt engineering business model guide
2023 · shushantlakhyani.gumroad.com · its alternatives →
6
AI-assisted prompt builder▲61
Integrate LLMs into your product in minutes with AI's help
2023 · outset.ai · its alternatives →
7VI
Visual intuitive explanations of LLM concepts (LLM University)▲303
Hi HN, We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel. You can find it here: https://llm.university/ Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a…
2023 · its alternatives →
8RA
RL Agent that can auto-optimize your LLM prompts▲14
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 →
9
Improve LLM Performance by Maximizing Iterative Development▲104
I have been working in AI space for a while now, first at FAANG with ML since 2021, then with LLM in start-ups since early 2023. I think LLM Application development is extremely iterative, more so than any other types of development. This is because to improve an LLM application performance (accuracy, hallucinations, latency, cost), you need to try various combinations of LLM models, prompt templates (e.g., few-shot, chain-of-thought), prompt context with different RAG architecture, different agent architecture, and more. There are thousands of possible combinations and you need a process…
2024 · github.com · its alternatives →
10
PromptTools – open-source tools for evaluating LLMs and vector DBs▲211
Hey HN! We’re Kevin and Steve. We’re building PromptTools (https://github.com/hegelai/prompttools): open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. Evaluating prompts, LLMs, and vector databases is a painful, time-consuming but necessary part of the product engineering process. Our tools allow engineers to do this in a lot less time. By “evaluating” we mean checking the quality of a model's response for a given use case, which is a combination of testing and benchmarking. As examples: - For generated…
2023 · github.com · its alternatives →
11
2000 Machine Learning Prompts▲87
Unlock your knowledge in machine learning
2023 · miguelanticonam.gumroad.com · its alternatives →
12
Hegel AI Prompt Playground▲25
Experiment with, and evaluate, prompts and LLMs
2023 · its alternatives →
13
MagicPrompts by Lyzr AI▲122
Generate the perfect prompt for GPT4 & open source models
2024 · its alternatives →
14
PrompTessor▲125
After countless hours of solo coding, designing, and iterating, I’m both excited and nervous to share my first-ever product: PrompTessor — now live. As someone who constantly experiments with AI tools like ChatGPT and Midjourney, I often found myself stuck in a loop of trial-and-error. The issue wasn’t always the AI — it was often the prompt itself. That observation became the starting point for PrompTessor. This tool doesn’t just optimize your prompt — it analyzes it. It gives you: - A prompt score - A breakdown of strengths and weaknesses - A fully optimized version of your prompt - And…
2025 · promptessor.com · its alternatives →
15
Promptr for AI▲32
The context manager and skills library for marketing teams
Apr 2026 · promptr.ai · its alternatives →
16
LLM Prompt & Model Playground▲89
Test LLM prompts & models side-by-side against many inputs
2024 · its alternatives →
17RA
Relari – Auto Prompt Optimizer as Lightweight Alternative to Finetuning▲32
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 →
18HP
Horizon – Programmatic Prompt Generation and LLM Configurations▲7
Hi HN. I heard you like dev tools and AI, so we wanted to share our project that we’ve been working on. We’re working on Horizon [1] - a higher level abstraction for LLMs so that developers can spend less time trying to grapple with LLMs to make them work and more time with users. This is the starting feature set which takes an auto-ML approach to identify the optimal LLM model, hyperparameters, and prompt - instead of just giving you the tooling to figure it out yourself. You can read more about it in our documentations. Our view is that as LLMs become increasingly commoditized and prompts…
2023 · gethorizon.ai · its alternatives →
19PE
Prompt Engineering Course▲20
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 →
20AB
Agents.blue – learn LLM prompting interactively in <10 minutes▲12
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…
2023 · agents.blue · its alternatives →
21
Orquesta AI Prompts▲73
No-code prompt lifecycle management
2023 · orq.ai · its alternatives →
22
ChatGPT Prompt Engineering for Developer▲16
New course created together by DeepLearning.ai and OpenAI
2023 · deeplearning.ai · its alternatives →
23
Better Prompt▲5
I got frustrated watching everyone focus on fancy AI frameworks while basic prompts were failing. After spending months writing prompts, I realized that many of them were ineffective—often due to unclear instructions, missing edge cases, and ambiguous language. Built this tool that transforms vague prompts into clearer, more effective prompts, leading to better results from large language models (LLMs). Just input your original prompt, and the tool will give you an improved prompt version.
Jan 2026 · t.me · its alternatives →
24
Prompt-Engineering Tool: AI-to-AI Testing for LLM▲37
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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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →