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Most production agent projects do not fail because the model is weak. They fail because one agent was asked to hold too much at once: routing, planning, tool use, memory, and error...
Agentic AI systems are moving beyond simple question-and-answer applications. AI agents can reason about tasks, use external tools, inspect files, call APIs, work with databases, e...
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
Every era of enterprise technology has added a defining layer to the stack. Mainframes gave us the system of record. Client/server gave us applications. The web gave us services an...
Beyond basic ReAct loops: six production-oriented architectures for building autonomous, reliable, and scalable LLM agents. The post Agentic Systems: A Practitioner's Guide to 6 Ad...
Coordinating agent capability development with the application it powers The post Where the Agent Development Lifecycle Fits appeared first on Towards Data Science.
Agentic AI architecture splits planner, generator, and evaluator roles. Why a generator cannot grade its own output, and how to wire an independent evaluator.
An AI agent is not defined by how intelligently it talks. It's defined by what it's trusted to do. Give a language model a chat window, and you have an interface. Give it access to...
Software Architecture with AI Tools Anonymous (not verified) Wed, 10/14/2026 - 17:46 SDC305 305 SDC SDC305 Software Architecture with AI Tools...
Every boundary you draw removes a signal your tooling was relying on. That is a structure problem, not a search problem. The post Good Architecture Deletes the Signals Your Agent D...
Over the last two years, the industry has moved from simple chatbots and retrieval-augmented generation pipelines to something fundamentally more powerful: agentic systems. These s...
The Adaptive Agentic Intelligence Framework (AAIF), built with Strands Agents, handles routine tasks locally with small language models and routes complex requests to cloud models...
We have spent the last two years learning how to ground a single AI agent in enterprise data. That was the easy part. Coordinating a fleet of them turns out to be a different probl...
We built a nine-agent pipeline that turns a natural language use case into working code, an interactive preview, and an implementation guide in under 4 minutes. It serves roughly 8...
Learn how the AWS Generative AI Innovation Center Partner Agent Factory and Anchor Browser built AI agents that autonomously pay for x402-protected web resources and APIs. Amazon B...
Eight new AI teammates built to do the EA grind, so your team can spend that time on the decisions instead.
In this article, I'll try to give practical insights for choosing the right AI architecture for impact, not just experimentation. Companies are spending heavily on AI. Many are st...
AI applications are rapidly moving from single-model applications toward systems composed of multiple specialized agents. One agent may specialize in weather information, another i...
What is IAM for AI agents? AI agents authenticate, invoke tools, and act across enterprise systems with delegated authority. IAM for AI Agents is the identity-control architecture...
The enterprise software landscape is undergoing a foundational architectural shift that rivals the original transition from monolithic applications to distributed systems. For the...
У вас есть модель, API к ней и идея продукта с агентом. Кажется, осталось написать цикл: отправить запрос, получить tool call, выполнить его и отправить результат обратно. Можно пр...
Applicable across AWS AgentCore, Google Vertex AI / Agent Engine, Microsoft Foundry, Kubernetes, and custom cloud stacksContinue reading on Medium »
AI agents extend language models from simply generating responses to carrying out goal-oriented workflows. By combining reasoning, tool use, feedback, and control logic, agents can...
A chat interface is not an integration. Give agents accurate state, bounded actions and a result they can verify. By Tej Pandya, founder of GrowEasy.ai I think of the next intern...
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