555 summarised stories about AI Automation, each linking back to the original source. Browse all topics →
Product Hunt 3 weeks ago 24
Knocket launched a website script that shows a chat bubble so visitors can message the maker without creating an account. The service is free and went live today. Messages route to Telegram, email visitors when you’re away, and use an AI agent to answer from the maker’s docs before handing off to the maker when needed.
Product Hunt 3 weeks ago 15
Kaiku is launching as project management software for teams running work through AI agents, including an AI-focused task tracker and wiki. It includes built-in MCP servers for Claude Code and Cursor. It changes how agent-driven work is managed by letting agents use existing tracker APIs and by recording each agent run’s cost on the issue.
Amazon Web Services 3 weeks ago 9
Tata Elxsi built IRIS, a real-time industrial safety platform on AWS that analyzes camera feeds at the edge, runs computer-vision models in the cloud, correlates detections, and triggers automated alerts. Its measured event-ingestion latency is under 200 milliseconds at p95. This shifts safety monitoring from recorded footage and 15–45 minute detections to continuous, near-real-time alerting without streaming raw video to the cloud.
Tech.eu 3 weeks ago 34
Primo raised $8 million in a funding round to build an AI platform that lets autonomous agents manage corporate IT end to end. The round was led by Headline and Global Founders Capital. Primo plans to use the money to hire, expand internationally, and further develop its AI capabilities so customers can deploy AI agents with traceability and control.
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16 October 2026
Agentic coding models keep shipping—and the day’s biggest thread was Reflection AI publishing Beam as open weights, complete with post-training recipes and customization tooling. Beam is built for long-horizon software work with 501 billion total parameters and a 23 billion active slice per forward pass, trained over two months on several thousand high-end GPUs. The practical part is what matters: deploy-ready serving configs, quantized variants, and AWS options via SageMaker JumpStart or Kubernetes-native SageMaker HyperPod Inference, with checkpoints in BF16, FP8, or NVFP4.
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