The Future of Intelligent Commerce: Agents, Trust, and the New Digital Trade Infrastructure
Intelligent commerce is shifting from clicks to agents, powered by a new trust stack across identity, provenance, privacy, and programmable payments. This blueprint shows how to build it with open standards.…
Agentic AI Just Crossed a Line: Platform-Native Agents, OS-Level Companions, and a Security Wake-Up Call
Platform-native agents are here, OS-level companions are coming, and a real prompt-injection exploit just raised the security bar. This post distills what truly changed—and a practical playbook to adopt it safely.…
Agentic AI Workflows in the Intention Economy: A Playbook for Machine-Native Markets
A practical playbook for building machine-native products in the intention economy—make capabilities callable, discoverable, and governed. Covers interop (A2A/MCP), state-machine orchestration, evaluator-in-the-loop, and the metrics that matter.…
Engineering Leaders’ Guide to Agentic AI in the Enterprise
Engineering playbook for deploying and governing agentic AI systems in the enterprise. Walks through use-cases, observability gaps, build-vs-buy math, KPIs, and the procurement checklist.…
Futuristic Agentic AI: Empowering Next-Gen AI Agents with On-Device Intelligence
Discover how on-device LLMs are revolutionizing intelligent, personalized AI agents with enhanced privacy & speed. Explore innovative techniques like model quantization and speculative decoding that seamlessly blend edge and cloud computing.…
State-of-the-Art Agentic AI Workflows: A Comprehensive Implementation Blueprint
Discover our comprehensive blueprint for building next-generation agentic AI workflows—designed for autonomous, multi-agent collaboration and dynamic decision-making. This guide details modular architectures, advanced reasoning techniques, and integrated…
Harnessing Semantic Routing for LLM Agents in AI Agentic Workflows
A production guide to semantic routing for LLM agents—architecture, thresholds, abstain logic, evaluation, and copy-ready implementation patterns that cut cost/latency without hurting success.…
Deepening Our Understanding of AI Agentic Workflows: The Evolution of Magentic-One and AutoGen 0.4
How Magentic-One’s multi-agent patterns evolved into AutoGen 0.4’s actor-model stack—covering architecture, event contracts, observability, and a pragmatic migration plan.…
Revolutionizing Contact Centers with LLM Agents: A Practical Guide
A practitioner’s blueprint to deploy LLM agents in contact centers—architecture, safety, RAG, metrics, and a 30/60/90 rollout that drives automation and lowers cost per contact.…
Optimizing AI Agentic Workflows: Reducing LLM Calls for Enhanced Efficiency
A practical playbook to cut LLM calls—adaptive routing, one-shot multi-head prompts, deterministic tools, precise RAG, and caching—while protecting task success and user experience.…
