PromptLayer @promptlayer

Your AI engineering workbench. Prompt versioning, evals, agents, and observability 🍰 promptlayer.com NYC Joined March 2022

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PromptLayer @promptlayer

6 days ago

Claude reads our repos, analyzes every commit, and writes product updates grouped by feature. No more reading vague commit messages. Just clear, complete product emails without any user input. blog.promptlayer.com/how-i-automate…

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PromptLayer @promptlayer

a week ago

Gpt-5-Codex is out. Here are our first reactions blog.promptlayer.com/gpt-5-codex-fi…

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PromptLayer @promptlayer

3 weeks ago

JSON prompting makes LLMs easier to validate. It also makes them think more like config files. Great for workflows and automation. Not great for style, nuance, or creativity. Use with intent. blog.promptlayer.com/is-json-prompt…

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PromptLayer @promptlayer

a month ago

AI engineering interviews need a rethink. We look for experimental mindset and hands-on building experience over memorized best practices. The field changes too fast for textbook answers. blog.promptlayer.com/the-agentic-sy…

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PromptLayer @promptlayer

2 months ago

Too much context breaks the model’s ability to choose. The decision boundary softens. Outputs get slower, less useful, and more verbose. Clean prompts work better. Not because they’re short, but because they reduce noise. blog.promptlayer.com/why-llms-get-d…

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PromptLayer @promptlayer

2 months ago

Prompting is only one layer. The structure around it matters more. System messages, retrieval, metadata, memory, compression all of it shapes output. This is "context engineering" and it's where most real-world LLM products win or fail. blog.promptlayer.com/what-is-contex…

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PromptLayer @promptlayer

2 months ago

The shift from deterministic to assumption-based systems requires new technical architecture, and PromptLayer provides the infrastructure. Traditional systems need every parameter specified upfront. Modern AI systems use probabilistic defaults, contextual inference, and…

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Badal Khatri @BadalXAI

2 months ago

🛠️ Tool of the Day: @promptlayer What it does: → Tracks every GPT request + response → Lets you debug / compare / improve → Works with OpenAI + Claude + Groq etc. Why it matters: You can’t improve what you don’t track Bonus: → Auto-tags outputs that underperform →…

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Jared Zoneraich @imjaredz

2 months ago

excited for this talk! see you at Betaworks soon

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PromptLayer @promptlayer

2 months ago

The biggest mistake AI products make: Don't boil the ocean! Start simple. Get your AI product out in the wild. Start collecting data for evals. Most importantly: prove to your company the AI product should be invested in.