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The Business Case for AI Agents
ROI math, data sovereignty, and why local-first AI is the compliance-friendly path for professional services firms.
3 AI Employees Running 24/7 on One Machine
Why specialist agents outperform a single generalist AI, and how to build a team that runs while you sleep.
Why a $20 Model Beats a $200 Model (If You Do This)
A peer-reviewed 2026 benchmark tested 7,308 agent trajectories. The variable that matters isn't the model.
The Clean-Room Pattern: Using Cloud AI Without Leaking Client Data
A practical architecture for regulated industries — cloud AI performance without exposing PII to third-party servers.
What We Learned Rebuilding an Agent Stack from Scratch
Model degradation, why local LLMs failed in production, and the reset that fixed it.
Agent Operating System Setup
Roles, guardrails, and proof-first execution standards that make agents usable.
Memory Architecture for Agents
A 3-tier memory model that reduces drift and keeps context useful.
Fixing Agent Drift and Reliability
How to recover from silent regressions and restore execution trust.
What OpenClaw Is (and Isn’t)
Clear explanation for teams evaluating agent-based automation.
Five Automation Workflows That Actually Save Time
High-ROI use-cases you can deploy without enterprise complexity.
Local vs Cloud Models for Automation
Where local LLMs fit, where cloud is safer, and how to run hybrid.