Background Agents: Running AI Agents 24/7 Without You at the Keyboard
Learn how background agents run on schedules and triggers, keep working when your laptop sleeps, and handle recurring business operations safely.
Rerun Blog12 min read
Human-in-the-Loop Agents
276 stories
Impactful scheduling for GPU clusters
Building a cluster scheduler to prioritize high-impact research while maintaining full occupancy
Hugging Face Blog15 min read
What is an AI receptionist? How it works for small businesses
An AI receptionist answers calls, chat, and SMS using conversational AI to book appointments, qualify leads, and log interactions 24/7.
Frontdesk AI Blog22 min read
AI System Design Tutorial
In this video, we will dive deeper into AI system design discussing high level and low level system design. We will cover API gateways, guardrails, semantic cache, CDC events, Human in the loop, router, orchestrator and much more.
codebasics
What Is an AI Agent Self-Improvement Loop?
Key Takeaways An agent can pass every pre-launch evaluation and still start failing in ways the test set never covered. A support agent keeps misrouting...
Opencontroller by lyzr Blog11 min read
Impactful scheduling for GPU clusters
We explain how Ai2’s new GPU scheduler uses time budgets, fair-share allocation, and time-slicing to prioritize high-impact research, shorten queue waits, and keep GPUs busy.
Allen AI (AI2)15 min read
Agent Skills Explained: How Reusable Skills Make AI Agents Reliable
Learn how agent skills package reusable procedures, why progressive disclosure matters, and which controls make skills reliable in production.
Rerun Blog11 min read
Part 5: Operating an LLM system: observability, cost, routing, and the platform underneath
Your service can be 100% up and still quietly approving the wrong things, burning its budget, or failing over into untested quality. Level 5 is the infrastructure that lets you see your decisions, bound your spend, route and fail over between models, kill bad behavior in seconds — and the platform…
Stack Overflow Blog - AI18 min read
AI Agent Orchestration for Production in 2026
TL;DR: AI agent orchestration is the coordination of multiple agents, tools, models, and shared state, and in production it only works when operational controls run inside every agent, tool call, and handoff. Each orchestration pattern fails in its own way, so each needs its own controls.
Prediction Guard Blog10 min read
The share of enterprises trusting AI agents to make production changes on their own has fallen from 75% to 56%, VB Intelligence finds
Enterprises are increasingly hesitant to give AI agents carte blanche ability to deploy code or system changes to production without human approval, even as they continue investing in tools designed to evaluate agent reliability.Read more
VentureBeat AI12 min read
Orchestrating Multi-Step Automations with the Workflows API
Build complex, stateful automation pipelines that handle branching, retries, and human approval. Drive real desktops, browsers, and terminals with a versioned JSON DSL and pay $0.05 per agent step. Get your key at https://coasty.ai/developers .
Coasty Blog4 min read
What Is a Web Agent? How AI Web Agents Work
A web agent is AI that uses a real browser to navigate sites, fill forms, and extract data. See how web agents work, how reliable they are, what they run on.
TestMu AI Blog14 min read
Building a safer path to autonomous industrial AI
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, physical AI, and agentic AI are making it possible to automate more complex tasks across industrial environments.
MIT Tech Review - AI24 min read
Best Zapier Alternatives for AI Agent Automation in 2026
Compare the best Zapier alternatives for workflows, AI agents, self-hosting, and recurring automation, with an honest guide to when you should keep Zapier.
Rerun Blog14 min read
Human-in-the-Loop Learning for AI Agents: Review, Approval and Escalation
Learn when AI agents should act, request approval or escalate, and how human corrections can become reusable, controlled behavioural learning.
Reflexio Blog9 min read
Part 4: Safety and governance for LLM systems: guardrails, PII, audit, and memory
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
Stack Overflow Blog - AI18 min read
Part 3: Knowing when your agent doesn’t know: the confidence layer
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
Stack Overflow Blog - AI12 min read
Part 1: Make your AI agents boring: the determinism layer
Founded in 2008, Stack Overflow’s public platform is used by nearly everyone who codes to learn, share their knowledge, collaborate, and build their careers.
Stack Overflow Blog - AI13 min read
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