Resources
The AI agent field library
Whitepapers, guides, and tools — request any of them and we will send it over.
▸ What You Get
- Strategic briefings for executive decision-making
- Architecture and implementation patterns for delivery teams
- Benchmark references cited to published research
Field guides available on request.
3
Intelligence brief for enterprise leadership.
Weekly
Industry verticals with benchmark references.
5
Field guides and working tools
Three field guides you can request, plus the ROI calculator you can open right now — no email required.
The Enterprise Guide to AI Agents
Agent architectures, deployment models, and the questions to settle before a pilot — written for executives deciding whether to fund one.
Multi-Agent Architecture Patterns
How supervisor, pipeline, hierarchical, and hybrid orchestration patterns behave in production — including where each one fails and what it costs to run.
AI Agent ROI Calculator
Model payback on your own numbers — team size, hours spent on the workflow, and loaded rate — and see the implementation range that goes with it.
Industry AI Readiness Checklist
Work through readiness across data, systems, governance, and operating model before you scope an agent build.
The guides are sent by a person, not an automatic download. Tell us which one you want and we reply within one business day. Requesting a guide does not subscribe you to the newsletter.
Latest from Field Notes
Engineering and strategy dispatches from the team building production multi-agent systems.
From RPA to AI Agents: The Evolution of Process Automation
The journey from rule-based RPA to AI agents is a shift in what automation can absorb. Where your automation strategy should go next, and how to sequence it.
Read the dispatchAI in Semiconductor Manufacturing: Five Use Cases That Move the Numbers
Five high-impact use cases where AI agents apply in semiconductor manufacturing, from defect detection to yield modeling — with the published benchmarks behind each.
Read the dispatchSupervisor vs. Pipeline: Choosing the Right Multi-Agent Pattern
A technical comparison of supervisor and pipeline orchestration — including the costs, failure modes, and instrumentation each pattern commits you to.
Read the dispatchNeed a custom AI agent strategy?
Our team can walk you through any of these resources and help you build a custom AI agent strategy for your organization.
▸ DIRECT LINE
Bring your workflows, data, and constraints — we'll map the highest-value entry point and a realistic path to production. We reply within one business day.