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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

246,657 subscribers

43,733 Aufrufe • vor 1 Jahr •via X (Twitter)

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10 Kommentare

Profilbild von Paul from DentroAI

Paul from DentroAIvor 1 Jahr

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!

Profilbild von Building AI Agents

Building AI Agentsvor 1 Jahr

RIP Prompt Engineering 2022-2024 Killed by prompt engineers

Profilbild von Abu

Abuvor 1 Jahr

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

Profilbild von Vasilije

Vasilijevor 1 Jahr

@LangChainAI any memory management layer?

Profilbild von Saquib Mehmood

Saquib Mehmoodvor 1 Jahr

Good. Cool.

Profilbild von Alexander De Ridder

Alexander De Riddervor 1 Jahr

Intriguing approach. Collaborating with AI seems unconventional but efficient.

Profilbild von GPT.Biz

GPT.Bizvor 1 Jahr

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

Profilbild von Mathieu Trachino

Mathieu Trachinovor 1 Jahr

Pro tip : never use AI to write your prompts.

Profilbild von TSI National

TSI Nationalvor 1 Jahr

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.

Profilbild von Mike Kirkup

Mike Kirkupvor 1 Jahr

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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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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