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AI Engineering & Harness Guides

Practical guides on AI agent development, custom harnesses, context engineering, and intelligent workflow automation.

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Five translucent shields over a dark gradient, single accent, visualizing a five-layer prompt-injection protection stack.

AI Safety & Guardrails Jun 15, 2026

5 Layers of Prompt Injection Protection for Production LLM Apps

OWASP LLM01 is the top LLM risk in 2026. Here are the 5 layers of prompt-injection defense every production LLM app should run, with a per-layer checklist.

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Cross-section of an LLM context window: a fixed copper spine of system instructions and tool definitions, with rolling message history and cleared tool results on either side.

Harness Engineering Jun 15, 2026

LLM Session Context Management: A Design Pattern

Design pattern for LLM session context management: token budgets, truncation guardrails, server-side compaction, and audit-ready observability.

Vertical registry spine with four JSON Schema contracts (OrderSummary, RefundProposal, EscalationPacket, Refusal) attached.

AI Engineering Jun 13, 2026

The Schema Registry Pattern for LLM Output Contracts

Schema validation isn't optional for LLM apps. Learn the registry pattern that makes output contracts enforceable in production — and why 95% never ship.

Aerial view of the Toronto-Waterloo AI corridor at dusk: Highway 401 is a luminous amber line between two top-10 markets.

AI Engineering Jun 11, 2026

The Toronto-Waterloo AI Corridor: Why a Toronto AI Engineering Consultancy Finds Enterprise Infrastructure Concentrating Here

Why enterprise AI infrastructure is concentrating in the Toronto-Waterloo corridor: two top-10 talent markets, Vector's 50,000+ hours, 90-min geography.

Stacked layers — model at the bottom, AI harness in the middle, application on top — AI harness engineering.

AI Engineering Jun 7, 2026

AI Harness Engineering: The Missing Discipline Between DevOps and Prompt Engineering

AI harness engineering is the production discipline between DevOps and prompt engineering. Why it matters now, what it owns, and how teams ship LLM systems.

Abstract visualization of layered prompt-injection defense: clean data streams passing through a vertical electric-cyan detection plane while a single compromised red stream is filtered out.

AI Engineering Jun 6, 2026

Prompt Injection Defense: A Layered Approach for Production LLM Apps

Indirect prompt injection is OWASP LLM01's hardest problem. Here is the production defense-in-depth stack — prevention, detection, impact mitigation, and the audit trail your auditor wants to see.

Toronto tower transformed into a circuit structure with electric-cyan glow, dark palette - GTA enterprise AI infrastructure visual.

AI Engineering Jun 5, 2026

Toronto's AI Scene: Why Infrastructure Is the Next Battleground

Toronto's AI market is shifting from model spend to infrastructure. Here is the 2026 buyer profile, the MIT pilot-failure data, and a 5-step GTA readiness checklist.

Three-node state diagram — solid (closed), pulsing (half-open), open with sparking particles — illustrating the LLM circuit breaker state machine.

AI Engineering Jun 4, 2026

Circuit Breakers for LLMs: Architecture & Fallback Logic

Build production-grade LLM circuit breakers with per-model thresholds, cost-aware fallback chains, and OpenTelemetry observability.

Luminous ring wrapping a steady ember — a continuous loop around a contained light, visualizing an AI harness as the deterministic production-safety layer that wraps a probabilistic LLM.

Harness Engineering Jun 2, 2026

What Is AI Harness Engineering? A Definition for Engineering Leaders

AI harness engineering is the discipline of wrapping raw LLMs in production safety loops, guardrails, and observability. Here's what the role owns — and why.