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News

Medium
medium.com > @bhardwajpreeti357 > 100-recall-57-1-accuracy-what-my-support-agents-ugly-number-taught-me-about-shipping-ai-104c1cbc7a90

100% Recall, 57.1% Accuracy: What My Support Agent’s Ugly Number Taught Me About Shipping AI 🤖

1+ day, 15+ hour ago   (113+ words) 🙅 The problem with most "AI support bot" demos Every tutorial version of this project does the …...

Selector
selector.ai > resource > the-forward-deployed-engineer-playbook-with-john-heintz-ai-for-network-leaders-summit-2

Think like an architect with Scott Robohn | AI for Network Leaders Summit

4+ day, 14+ hour ago   (162+ words) Webinar: The New Era of Agentic NetOps Introducing Selector Foundry — Sept. 22 As AI tooling in the network gets richer and more agentic, what’s the actual job of the human sitting behind it? In this session, “Think Like an Architect,” Scott…...

InfoQ
infoq.com > presentations > solopreneur-journey

A Solopreneur's Journey: From Engineer to Puzzle Master and Storyteller

6+ day, 2+ hour ago   (783+ words) Live Webinar and Q&A: Beyond the PR: The New Control Plane for Agentic Software Delivery (Sept 17, 2026) Save Your Seat This eMag examines how architects can lead with clarity in a rapidly evolving engineering world, distilling industry insights into field-tested practices…...

IntuitionLabs
intuitionlabs.ai > articles > tags > ai-agent-uptime

Ai Agent Uptime Articles

1+ week, 1+ day ago   (102+ words) Articles tagged with “ ai-agent-uptime IntuitionLabs IntuitionLabs is now a member of the Claude Partner Network – AI training and upskilling with Claude for pharma and biotech. Book a call. A 2026 data report on long-running AI agent reliability covering METR time-horizon benchmarks,…...

ibl.ai
ibl.ai > blog > ally-bank-ai-agent-personas-customer-research

Ally Built Six AI Customers Before Shipping

1+ week, 6+ day ago   (1394+ words) Insights on building and deploying agentic AI systems. Our blog covers AI agent architectures, LLM infrastructure, MCP servers, enterprise deployment strategies, and real-world implementation guides. Whether you are a developer building AI agents, a CTO evaluating agentic platforms, or a…...

DEV Community
dev.to > derangga > call-graph-planning-adapting-effects-mental-model-for-ai-558h

Call Graph Planning: Adapting Effect’s Mental Model for AI

2+ week, 2+ hour ago   (19+ words) Saat menggunakan AI untuk melakukan koding, biasanya kita melakukan planning terlebih dahulu. Namun,... Tagged with ai, programming, claude, productivity....

Adroitent - Agility. Delivered
adroitent.ai > ai-factory

AI Factory │ Industrialised Enterprise AI Delivery │ Adroitent

2+ week, 5+ day ago   (502+ words) These cookies allow the website to remember your preferences and provide a more personalized experience. One use case is a project. Twenty is an operating capability. The AI Factory is the model that gets you from the first to the…...

DEV Community
dev.to > tamizuddin > from-hype-to-hard-reality-what-were-learning-about-shipping-ai-agents-in-production-42il

From Hype to Hard Reality: What We're Learning About Shipping AI Agents in Production

2+ week, 5+ day ago   (1180+ words) For the better part of two years, the narrative has been seductive: build a few function calls around a reasoning model, add a tool-use loop, and you have an autonomous agent that solves hard problems. The demos are real. The…...

DEV Community
dev.to > humzakt > whole-ad-product-swap-deterministic-planning-first-model-only-where-forced-4ka7

Whole-Ad Product Swap: Deterministic Planning First, Model Only Where Forced

2+ week, 5+ day ago   (1654+ words) Variant Multiplier already let an editor swap one section of a winning ad and keep the rest. The next request from a real production job — replacing product SL-603 with SL-808, a different hearing-aid SKU, across an entire finished ad — was…...

DEV Community
dev.to > alexmercedcoder > graphs-in-ai-engineering-have-solved-three-problems-the-fourth-is-the-plan-6h4

Graphs in AI Engineering Have Solved Three Problems. The Fourth Is the Plan.

2+ week, 6+ day ago   (1809+ words) That plan was a graph. Every agent harness (the program that runs the model in a loop, manages tools, and enforces policy) builds one, privately, in its own shape, and throws it away. The one artifact that determines whether the…...