#agentic-ai

Architecture Decision Record documenting principles, scope, responsibilities, and rollback boundaries to be agreed upon before introducing the Self-Improving Agent Loop to production

Self-improving feedback loops and advanced agent design patterns

Token optimization patterns for MCP-based agents. Quantifies upfront loading overhead and reduces token costs by 70-98% through four techniques — Progressive Discovery, tool compression proxy, Code Execution, and prompt cache alignment.

5 key challenges faced when operating Agentic AI workloads

Overall system architecture of a production-grade Agentic AI Platform — 6 runtime layers and 3 cross-cutting planes

Core architecture and technical challenges of Agentic AI platforms

Architecture design, technical challenges, and AWS Native and EKS-based implementation approaches for the Agentic AI Platform

Guide to building Agentic AI platform using Amazon EKS and open-source ecosystem

Strategic selection guide for building Agentic AI platforms in AWS environments

In-depth technical documentation on the architecture, deployment, and operations of the Agentic AI Platform

AIDLC Enterprise Adoption Strategy — Waterfall→Hybrid Transition, Champion Model, Phased Rollout Roadmap

Illustrative financial, manufacturing, public-sector, and fintech scenarios for planning AIDLC adoption and harness validation

Quantifying AIDLC Cost Effectiveness — RFP Estimation Model, Ontology/Harness ROI, Open Weight TCO Comparison

AIDLC Enterprise Governance — 3-Layer Model, Steering File Automation, Data Sovereignty, AI Act Compliance

Team Structure and Role Changes in the AIDLC Era — Harness Engineer, Ontology Steward, AI Verifier

AI Agent-based autonomous incident response — Strands/Kagent integration, Chaos Engineering + AI, ontology feedback loop

ML-based predictive scaling and anomaly detection — Karpenter+AI, CloudWatch Anomaly Detection, AI Right-Sizing

Declarative automation patterns for implementing AIDLC Construction/Operations with EKS Capabilities

Open-weight model utilization strategies for data residency and cost optimization — on-premises deployment, hybrid configuration, TCO comparison

AIDLC technology investment decision-making — Build-vs-Wait matrix, tool maturity assessment, 6/12/18-month horizons

Covers the 1-hour TTL constraint of EKS Kubernetes events, export pipeline design, and AI Agent query architecture based on the EKS and CloudWatch MCP servers.

AMWAY global direct-selling context — ABO Field / Insights / D&A · MarTech / CX / Compliance

25-class KG for AMWAY's ABO multi-level + subscription + global multilingual context (~700K edges)

5 personas — Brand Marketer / Insights / D&A · MarTech / CRM · LG Members / MD · Channel Sales

3-BU integrated KG with 25 classes — Customer / Product / Transaction / Channel / Operations · External

5 departments — Marketing · Category · Search/Recommendation · CS · Logistics

Massive SKU + Live viewing + In-house logistics (~800K edges)

Shinkong Mitsukoshi 5-department personas — Marketing, Insights, Digital, VIP, MD

Shinkong Mitsukoshi KG with 25 classes — VIP, foreigner, tenant brand, duty-free, store (~550K edges)

Integrated Marketing · CMI · D&A · OPENPOINT · Manufacturing & Logistics — five departments

Integration of 5 BUs + OPENPOINT + own-manufactured SKUs + cold chain (~900K edges)

MRC (Marketing Representative for Customers) sales pitch guide for customer invitations to the 2026-04-09 Modern Agentic Applications Day.