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🎨 Introducing Prompt Canvas — a novel UX for prompt engineering Building LLM applications requires new and dedicated tools for prompt engineering. With Prompt Canvas in LangSmith, you can: • Collaborate with an AI agent to draft, refine, and edit your prompts • Define custom quick actions to standardize... show more

LangChain

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43,733 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Paul from DentroAI

Paul from DentroAI1 год назад

For me the bottleneck isn't coming up with prompts (which the AI in this case does for me) It's ensuring they're doing what they should, i.e. solving the task For this you got annotation queues, datasets and evals But it's hard, give me an AI assistant that makes this easier!

Фото профиля Building AI Agents

Building AI Agents1 год назад

RIP Prompt Engineering 2022-2024 Killed by prompt engineers

Фото профиля Abu

Abu1 год назад

sounds like a cool way to enhance prompt engineering! teaming up with ai is the future, right?

Фото профиля Vasilije

Vasilije1 год назад

@LangChainAI any memory management layer?

Фото профиля Saquib Mehmood

Saquib Mehmood1 год назад

Good. Cool.

Фото профиля Alexander De Ridder

Alexander De Ridder1 год назад

Intriguing approach. Collaborating with AI seems unconventional but efficient.

Фото профиля GPT.Biz

GPT.Biz1 год назад

Prompt Canvas looks like a great tool to streamline prompt engineering and collaborate with AI

Фото профиля Mathieu Trachino

Mathieu Trachino1 год назад

Pro tip : never use AI to write your prompts.

Фото профиля TSI National

TSI National1 год назад

Where do I get a langgraph api url for the .env ? I signed up for langsmith but when I click on langgraph it says it's open for everyone right now with one click deployment but I cant find it out. I have open canvas setup locally but it says thread error without langgraph.

Фото профиля Mike Kirkup

Mike Kirkup1 год назад

Great to see new tooling for building out prompts! A bit of feedback: 1. Back button loses all work - you should prompt to confirm before losing all of the prompt editing. 2. If you delete all text in the prompt canvas you can't put your cursor back in and have to start over.

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Prompting PERFECTED. Introducing the Hedra Prompt Enhancer. One click. We instantly optimize your prompt for you. No guides. No engineering. Just perfect results. We handle the prompts. You handle the creation.

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414,938 просмотров • 1 год назад

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

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Dami-Defi

10,118 просмотров • 23 дней назад

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Figma Weave

24,524 просмотров • 4 месяцев назад

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333,662 просмотров • 1 год назад

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LangChain

185,828 просмотров • 1 год назад

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Google Gemini

470,303 просмотров • 1 год назад

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60,501 просмотров • 10 месяцев назад

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65,758 просмотров • 6 месяцев назад

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100,600 просмотров • 1 год назад

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219,969 просмотров • 6 месяцев назад

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RIP traditional prompt engineering platforms. Meet Adaline Ai the single platform where you can write, test, and ship the best prompts for your AI Agents, MCP, RAG, and LLM apps. One platform. Zero hassle. Step-by-step tutorial :

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