Show HN: I Built a Prompt That Makes LLMs Think Like Heinlein's Fair Witness
(fairwitness.bot)
Transform your LLM interactions in 5 simple steps
Transform your LLM interactions in 5 simple steps
Show HN: Prompt Inspector – A browser-like inspect tool for prompts
(inspectmyprompt.com)
Prompt Inspector v0.1
Prompt Inspector v0.1
Request for more articles on prompting techniques
(simonwillison.net)
I'm disappointed at how little good writing there is out there about effective prompting.
I'm disappointed at how little good writing there is out there about effective prompting.
Show HN: Create your own finetuned AI model using Google Sheets
(promptrepo.com)
Finetune AI using data in Google Sheets
Finetune AI using data in Google Sheets
Meta MCP: Chaining Tools via Prompt-Driven Arguments
(cefboud.com)
This post explores the concept of an MCP tool that can chain multiple tools within a single request, where the arguments for each tool can be dynamically generated using prompts based on the outputs of previous tools.
This post explores the concept of an MCP tool that can chain multiple tools within a single request, where the arguments for each tool can be dynamically generated using prompts based on the outputs of previous tools.
The Death of Software Engineering by a Thousand Prompts
(verdikapuku.com)
My wife is working on an idea for a social platform. She’s been using Lovable to build it. Over the past week, she’s made very good progress independently but once a day she would get stuck because the AI isn’t doing what she’s expecting. Unfortunately, she doesn’t know full-stack development well enough to prompt it towards resolution or how to edit the code herself. When that happens, I come to her rescue.
My wife is working on an idea for a social platform. She’s been using Lovable to build it. Over the past week, she’s made very good progress independently but once a day she would get stuck because the AI isn’t doing what she’s expecting. Unfortunately, she doesn’t know full-stack development well enough to prompt it towards resolution or how to edit the code herself. When that happens, I come to her rescue.
Ask HN: How do you get the most out of Deep Research?
(ycombinator.com)
I'm looking for good guides on how to structure deep research prompts to get the best results.
I'm looking for good guides on how to structure deep research prompts to get the best results.
ReAct Prompting: A Strategic Look at Next-Gen LLM Interactions
(sebgnotes.com)
ReAct Prompting: A Strategic Look at Next-Gen LLM Interactions
ReAct Prompting: A Strategic Look at Next-Gen LLM Interactions
Show HN: White Ninja – Conversational AI agent for prompt engineering
(langtail.com)
Langtail helps you build faster and more predictable AI-powered apps.
Langtail helps you build faster and more predictable AI-powered apps.
LLM Prompt Engineering
(ycombinator.com)
Hey everyone, I've been following the incredible energy around AI here for a while now, and I'm reaching out because I believe my unique skillset could be a valuable asset to many companies in this space.
Hey everyone, I've been following the incredible energy around AI here for a while now, and I'm reaching out because I believe my unique skillset could be a valuable asset to many companies in this space.
Show HN: Prompt Engine – Auto pick LLMs based on your prompts
(jigsawstack.com)
Outperform any single LLM and reduce cost with Prompt Engine
Outperform any single LLM and reduce cost with Prompt Engine
Ask HN: Best practices to control LLM responses with user queries?
(ycombinator.com)
How do you control LLM output in your applications? Is it just a matter of a well-crafted system prompt or are there any other techniques? I'm building a query based UX and I specifically want to make sure users cannot inject their own instructions into queries that would steer the LLM away from it's intended purpose.
How do you control LLM output in your applications? Is it just a matter of a well-crafted system prompt or are there any other techniques? I'm building a query based UX and I specifically want to make sure users cannot inject their own instructions into queries that would steer the LLM away from it's intended purpose.
Show HN: One Prompt – A super framework for prompt engineering
(github.com/VaibhavAcharya)
A library that brings structure, validation, and reliability to prompt engineering.
A library that brings structure, validation, and reliability to prompt engineering.
Show HN: RL Agent that can auto-optimize your LLM prompts
(nomadic-ml.github.io)
The RL Prompt Optimizer employs a reinforcement learning framework to iteratively improve prompts used for language model evaluations.
The RL Prompt Optimizer employs a reinforcement learning framework to iteratively improve prompts used for language model evaluations.
SuperPrompt
(github.com/NeoVertex1)
This is a project that I decided to open source because I think it might help others understand AI agents. This prompt took me many months and is still in phase of forever beta. You will want to use this prompt with Claude (as custom instructions in the project knowledge) but it also work with other llms.
This is a project that I decided to open source because I think it might help others understand AI agents. This prompt took me many months and is still in phase of forever beta. You will want to use this prompt with Claude (as custom instructions in the project knowledge) but it also work with other llms.
Best Practices for Prompt Writing – DigitalOcean Documentation
(digitalocean.com)
DigitalOcean GenAI Platform is an offering for building AI agents on GPU-powered infrastructure. Use the platform to create AI applications with foundation models and agent routes, knowledge bases, and Retrieval-Augmented Generation (RAG) pipelines. See Features for more information.
DigitalOcean GenAI Platform is an offering for building AI agents on GPU-powered infrastructure. Use the platform to create AI applications with foundation models and agent routes, knowledge bases, and Retrieval-Augmented Generation (RAG) pipelines. See Features for more information.