Stop runaway spend: kill an agent session at a daily budget
Set a daily budget for an AI agent, track its cost from the transcript, and auto-stop the session when it crosses the line.
5,369 stories
Set a daily budget for an AI agent, track its cost from the transcript, and auto-stop the session when it crosses the line.
The post Anomalo is Now MCD-Eligible on Snowflake Marketplace appeared first on Anomalo.
Large language models (LLMs) are AI systems trained on massive text data to understand and generate human language. Here's how they work, what they're used for, and where they fall short.
Antigravity 2.0 is Google's agent-building platform — one agent harness you reach through a desktop app, the agy CLI, an SDK, and a single Managed Agents API. This is a builder-level walkthrough of its capabilities and the path from a prototype agent to one you'd trust in production.
An AI agent team can fully automate customer onboarding - from intake and CRM setup to Slack welcome and follow-up - without a single developer.
30 highest-ROI AI agent use cases for ops teams in 2026, ranked by deployment impact and efficiency gain.
Point tools handle one step. A Mindra agent team handles all of it - research, personalization, sequencing, approval, and CRM sync.
Thirty engineers. One year. That is what it took to solve a single technical problem: generating production-ready WordPress sites from a prompt. We mention it not to boast, but because it is the cleanest answer to the question we hear in almost every conversation with hosting companies: “Why…
Morgan Vernay, Software Engineer at Cal.com, shares how their team runs millions of background tasks every month on Trigger.dev: booking side effects, AI phishing detection, fraud analysis, and Google/Microsoft Graph calendar syncing.
An Anthropic researcher told a room of founders to stop worrying about context windows. Here is the question I did not get to ask, and why a bigger window solves short-term memory with bad tradeoffs and does nothing for long-term memory.
Everyone seems to have an AI roadmap. Watch these courses. Learn these frameworks. Follow this path. But after building AI applications, interviewing engineers, and working with AI in production, I've realized that many people are focusing on the wrong things.
How marketing agencies use AI agent teams to pull data, write insights, and deliver client reports without touching a spreadsheet.
AI agents can take real actions across your business tools. Here is how to decide which actions run automatically and which need a human sign-off first.
Kubernetes ops spans three surfaces: CLI, UI, and AI agent. kubectl is fine, but a live cluster graph deserves better than raw YAML - for humans and agents alike.
Description coverage, schema completeness, auth clarity, and the weights behind the grade.
It has been two years since Co-Intelligence, my book about AI, was published, and it was successful beyond what I could have hoped (it was a New York Times bestseller and has been translated into 25+ languages, with the biggest markets being the Netherlands and Korea).
A practical LLM evaluation guide for startups: build a small dataset, use the 2 + 3 metric rule, run CI/CD evals, and grow coverage from production signals and human review.
Everyone seems to have an AI roadmap. Watch these courses. Learn these frameworks. Follow this path. But after building AI applications, interviewing engineers, and working with AI in production, I've realized that many people are focusing on the wrong things.
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