How to Build an AI Support Agent for Your Business in Just 12 Minutes (No Code)
What if you could build a fully functional, intelligent customer support agent in less time than it takes to brew your morning coffee? It sounds like a bold claim, but thanks to the rise of no-code …
Wisconsin Counties Offload 40,000 Non-Emergency Calls to AI Dispatchers
Before the system was used, dispatchers would often have to place someone who called the non-emergency line on hold to take a call for someone who called 911 with an actual emergency.
Anthropic Research Shows AI Agents Closing In on Real DeFi Attack Capability - Bytes Europe
AI agents are getting good enough at finding attack vectors in smart contracts that they can already be weaponized by bad actors, according to new research
With Lindy, you can build AI agents and apps in minutes simply by describing what you want in plain English.
From inbound lead qualification to AI-powered customer support and full-blown apps, Lindy has hundreds of agents that are ready to work for you 24/7/365.
Commentary on Agentic AI and Security by Stephen Downes. Online learning, e-learning, new media, connectivism, MOOCs, personal learning environments, new literacy, and more
I've worked in AI for decades. Agentic AI will irreversibly change our workforce whether enterprises like it or not | Fortune
For Superhumans and their AI teammates to thrive, enterprises must build robust data foundations and memory systems. This means capturing and protecting an organization’s collective intelligence — not just data, but the decisions, judgment, intuition, and know-how that usually live in people’s heads. It’s a bit like creating a Pensieve for the enterprise – a living memory any AI agent can draw from. We call these context cartridges and knowledge capsules.
For Superhumans and their AI teammates to thrive, enterprises must build robust data foundations and memory systems. This means capturing and protecting an organization’s collective intelligence — not just data, but the decisions, judgment, intuition, and know-how that usually live in people’s heads. It’s a bit like creating a Pensieve for the enterprise – a living memory any AI agent can draw from. We call these context cartridges and knowledge capsules.
Compyle - The coding agent that asks before it builds
Stop wasting time on 20-minute builds that do the wrong thing. Compyle keeps you in the driver's seat—planning together first, then asking when anything's unclear.
Cognition | Introducing SWE-grep and SWE-grep-mini: RL for Multi-Turn, Fast Context Retrieval
Cognition's fast, agentic model specialized in highly parallel context retrieval. SWE Grep matches the retrieval capabilities of frontier coding models while taking an order of magnitude less time.
Agentic AI in Education: State of the Art and Future Directions | IEEE Journals & Magazine | IEEE Xplore
Agentic AI systems are self-contained, goal-based entities designed to operate autonomously with little human intervention and dynamically respond to shifting contexts. This survey considers their transformative potential in education, ranging from intelligent tutoring systems and adaptive test-taking platforms to autonomous learning companions that can provide customized guidance and assistance. We provide an organized overview of the state of the field, classify existing and developing uses and assess their pedagogical worth, benefits and trade-offs
Agentic AI systems are self-contained, goal-based entities designed to operate autonomously with little human intervention and dynamically respond to shifting contexts. This survey considers their transformative potential in education, ranging from intelligent tutoring systems and adaptive test-taking platforms to autonomous learning companions that can provide customized guidance and assistance. We provide an organized overview of the state of the field, classify existing and developing uses and assess their pedagogical worth, benefits and trade-offs
Episode 76: What actually makes something a real "AI Agent"—and how close are we to AI handling complex work entirely on its own?*Want our guide to master AI...
Stop shipping agents like they’re apps.
They’re self-governing code touching live systems.
IBM × Anthropic is the signal: enterprise agents are here, and governance just became table stakes.
Here’s the playbook I’m seeing (10 pieces you can ship, certify, and scale):
✅ what are ai agents? adaptive systems that reason, act, and learn with tools, not static chat apps.
✅ agentic enterprise embed agents into ops so decisions, workflows, and automations improve every run.
✅ ADLC (agent development lifecycle) devsecops for agents: design → sandbox → red-team → certify → deploy → monitor → retire.
✅ enterprise considerations tie use cases to ROI, controls, and regs; write the business case before the prompt.
✅ observability & ops beyond uptime: track behavior drift, tool errors, chain depth, reasoning quality, and rollback readiness.
✅ agent security defend against prompt injection, data leakage, privilege escalation; least-privilege tools with signed calls.
✅ governance: test, certify, catalog treat agents like services: pre-release evals, attestations, lineage, and an internal marketplace.
✅ MCP servers lifecycle model context protocol as a first-class surface: auditable, scoped, and versioned integrations.
✅ reference architecture hybrid stack that separates knowledge (RAG), capability (tools), policy (guards), and memory (state).
✅ voice of the customer & use cases ship real deployments (healthcare, telecom, finance) with before/after metrics, not vibes.
If you’d word any of this differently, I’m all ears, drop your version and I’ll pin the clearest take.
IBM/Anthropic folks, feel free to sharpen this for the operators in the trenches.
Bottom line: this isn’t “labs” anymore.
If you can’t test it, certify it, and roll it back in minutes, you shouldn’t run it in production.
Follow Alex for operator-grade AI agents you can copy, and repost to put this in front of one teammate who owns your next deployment.
Thanks Andreas Horn for sending this over. | 51 comments on LinkedIn
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