Managed Deep Agents lets you create a managed Deep Agent without standing up a custom agent server. Our runtime supports: Durable threads Streaming runs Checkpointing Human-in-the-loop workflows
AI
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Why Inference Latency Matters Over Training Throughput
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Why does this matter for AI inference specifically? Training = throughput problem. Inference = latency problem. When a user talks to an AI assistant, tokens have to return fast. Latency, memory access, bandwidth, and interconnect all matter, not just raw compute. In large AI
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Huawei Tau Scaling Law Reframes AI Inference Performance
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 28 mai 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/jFmtalWL4NMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner
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Prompt engineering challenge: multi-format conversion
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Challenge 6: The Format Switcher Give them a single paragraph from a blog post. Ask them to convert it into three formats in one prompt: a tweet, a LinkedIn post, and a cold email subject line. One prompt. Three distinct outputs. Do they specify each format's constraints
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Using AI Hallucinations to Test Candidate Review Skills
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Challenge 4: The Hallucination Trap Before the interview, generate an AI output about a topic relevant to the role. Leave 2-3 subtle factual errors in it. Realistic-sounding but wrong. Hand it to the freelancer. Ask them to review it. Do they catch the errors without being
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Prompt-engineering iteration exercise for improving AI outputs
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Challenge 3: The Iteration Loop Run a basic prompt that produces a generic, C-minus output. Show it to them on screen. Ask them to make it better using only follow-up prompts. No rewriting by hand. What to watch for: Do they give specific direction ("tighten the intro to one
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Improving a Prompt: The Constraint Architect
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Challenge 2: The Constraint Architect Hand them this prompt and ask them to improve it before running it: "Write a blog post about marketing." Then count. How many constraints do they add? Audience. Word count. Tone. Structure. Examples. Output format. Point of view. What to
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Cold Start Prompting Test for AI Assistants
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Challenge 1: The Cold Start Test Give them this brief and nothing else: "Write me a landing page for my product." No context, audience, tone. Not even constraints. Now watch. Do they paste it straight into Claude or do they ask you 3-5 clarifying questions first? A skilled
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Use Claude for Live Prompting Skill Tests to Filter Freelancers
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THIS WORKS: You can use Claude to filter out freelancers who are faking their prompting skills. Open a shared screen. Give them a fresh Claude session. Run these 7 challenges live, like a coding interview but for prompting. Nothing rehearsed. Just them, Claude, and 30
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LangSmith Engine: AI Agent for Agent Optimization
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join us for a behind the curtains look at LangSmith Engine (our agent that helps make your agent better)