The library

Ten field guides. One operating method.

Each book owns a distinct production problem, and every supporting guide leads back to one clear system boundary.

Cover of AI Agents for SRE by Leo J. Li

Signal Studio field guide

AI Agents for SRE

Building LLM Root Cause Analysis on OpenTelemetry Traces, Logs, and Metrics

A field guide to building SRE agents that investigate incidents through explicit evidence, falsifiable hypotheses, bounded authority, and replayable evaluations.

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Cover of AI Cost Engineering by Leo J. Li

Signal Studio field guide

AI Cost Engineering

Token Economics, Model Routing, Caching, Capacity, and Cost per Outcome

An engineering guide to measuring and controlling the full cost of useful AI outcomes across requests, retries, tools, reviews, routing, caching, and capacity.

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Cover of Context Engineering in Production by Leo J. Li

Signal Studio field guide

Context Engineering in Production

Designing Memory, Retrieval, State, Provenance, and Long-Running Agent Workflows

A systems guide to compiling trustworthy working context while governing memory, durable state, provenance, retrieval, and side effects across long-running agent workflows.

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Cover of Engineering Judgment in the Age of AI by Leo J. Li

Signal Studio field guide

Engineering Judgment in the Age of AI

From Writing Code to Making Tradeoffs: A Practical Guide to Questions, Verification, and Failure Drills for Early-Career Developers

A practical guide for developers who want AI-assisted speed without surrendering problem framing, constraints, verification, failure reasoning, and durable learning.

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Cover of Evaluating AI Agents by Leo J. Li

Signal Studio field guide

Evaluating AI Agents

From Golden Datasets and Trace Grading to Simulation, Red Teaming, and Production Quality Gates

A measurement guide for evaluating agent outcomes, trajectories, permissions, budgets, stochastic reliability, and serious failures across controlled and production environments.

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Cover of From the Field to the Product by Leo J. Li

Signal Studio field guide

From the Field to the Product

How Forward Deployed Engineering Turns Real-World Problems into Scalable Products

A field guide to forward deployed engineering as an accountable loop from real operational problems to production outcomes, reusable product capability, and customer independence.

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Cover of Generative Engine Optimization by Leo J. Li

Signal Studio field guide

Generative Engine Optimization

From Search Rankings to Accurate Discovery, Understanding, and Citation by AI

An evidence-first guide to improving technical content across discovery, retrieval, understanding, citation, and post-answer behavior without replacing sound SEO with GEO folklore.

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Cover of Observability for AI Agents by Leo J. Li

Signal Studio field guide

Observability for AI Agents

Tracing Models, Tools, Memory, and Multi-Agent Workflows with OpenTelemetry

A vendor-neutral guide to observing agent runs across models, retrieval, tools, memory, handoffs, state, effects, evaluations, cost, privacy, and human review.

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Cover of Securing AI Agents by Leo J. Li

Signal Studio field guide

Securing AI Agents

Prompt Injection, Tool Permissions, Identity, Sandboxing, Memory Poisoning, and Audit Trails

A control-oriented guide to containing prompt injection and excessive agency through permissions, identity, sandboxing, memory governance, effect mediation, and auditability.

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Cover of Why Systems Fail by Leo J. Li

Signal Studio field guide

Why Systems Fail

From Ontology Modeling, Observability, and CMDB to AI-Agent Root Cause Investigation

A systems guide to building operational semantics across ontology, CMDB, telemetry, provenance, topology, change, and AI-assisted root cause investigation.

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