"The collaboration with DataNorth went very well. They were very well-prepared and the AI workshop was well-structured."
Hannah Dean
Editor & Content Manager @ The Geneva Association
LLMs are smart.Agents can be dangerous.
You built a cool demo using LangChain or AutoGen. It works beautifully 60% of the time. But putting it in front of real users or giving it write-access to your database? That’s a different story.
Unbounded Action Space
Without a strict environment, agents try to solve problems using tools they shouldn’t access, leading to catastrophic state changes or security breaches.
Infinite death loops
Agents often fail to recognize when a tool isn’t working. Without proper feedback loops, they will execute the same failing API call thousands of times.
Lack of observability
When an autonomous agent fails, debugging its “chain of thought” is notoriously difficult. Standard APM tools aren’t built for non-deterministic AI workflows.
Program
Content of our Harness Engineering Workshop
Four modules structured to move your team from curiosity to a working agent workflow
they own by the end of the morning / afternoon
01
Architecture
From Prompts to Systems
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Shift in paradigm: We move away from basic prompt engineering to designing the structural “body” around the AI “brain.”
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Core loops: Your team explores the ReAct (Reason, Act, Observe) loop, durable memory, and state management.
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System design: We establish how environmental constraints are necessary for an agent to execute multi-step tasks reliably.
02
Implementation
Wiring the Agent Environment
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Live building: Moving away from the end-user tasks shown in “Screenshot 2026-08-20 at 16.36.49.png”, we construct actual infrastructure live in your tech stack.
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Connective tissue: We wire up API tool calling, secure database connections, and CI/CD pipelines.
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Context management: Engineers configure isolated code execution sandboxes and context compaction to prevent memory loss during long-horizon tasks.
03
Governance
Guardrails and Self-Correction
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Trust through constraint: We dive into the deterministic mechanisms that keep autonomous agents from hallucinating or going off the rails.
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Permissions: Your team practices setting strict API boundaries and role-based access controls for your models.
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Validation: We build self-verification pipelines and secure human-in-the-loop fallback triggers for high-stakes actions.
04
Production
Standardizing the Agent Lifecycle
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Deployment readiness: We bridge the gap between fragile AI wrappers and robust, production-ready enterprise deployments.
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Workflow triaging: We define exactly which engineering pipelines need autonomous agents and which just need simple scripts.
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Lifecycle management: You leave with a framework to manage agent sprawl, monitor performance drift, and establish a prioritized rollout architecture.
Experts in Harness Engineering
Use cases
Designed for every technical domain
Pick an engineering domain to see the types of autonomous agent systems we architect during the workshop.
Self healing infrastructure
Build an agent harness that can read Kubernetes error logs, reason about the failure, and propose a fix with a human-in-the-loop approval gate.
CI/CD Pipeline Triage
Wire up an agent to your GitHub Actions to automatically summarize build failures and route them to the correct developer context.
Alert Fatigue Reduction:
Design context-compaction memory so an agent can analyze a flood of Datadog alerts and group them into a single root-cause analysis.
Autonomous ETL Pipelines
Create a read-only harness that allows an LLM to query a raw Snowflake database and format the output into structured JSON for downstream apps.
Data Quality Monitors
Build an evaluation loop where an agent continuously checks incoming data streams for anomalies against historical memory.
Natural Language to SQL
Design a sandbox environment where an agent translates user queries into SQL, tests the query for destructive commands (like DROP TABLE), and safely executes it.
Automated Threat Triage
Configure a secure environment for an agent to read incoming security alerts, enrich them with threat intelligence APIs, and draft incident reports.
Code Vulnerability Scanner:
Wire an agent to a repository with strict read-only permissions to act as an automated PR reviewer for security flaws.
Access Control Guardrails
Learn to build the deterministic wrappers that prevent an internal HR agent from accessing restricted payroll databases, regardless of the prompt used.
Why choose DataNorth?
12+ Years of AI Experience
Highly educated AI Experts
1200+ Participants Trained on AI
Ready to stabilize your Agents?
Harness Engineering – 4 Hour Workshop
A 4 hour workshop about Harness Engineering given by one of our AI experts
Become an expert in Harness Engineering with in-depth AI knowledge
Interactive workshop for 10 attendees
Both digital and on-location options available.
Hands-on experience designing the necessary building blocks: context compaction (memory management across sessions), isolated code execution sandboxes, tool interfaces (like MCP integrations), and continuous evaluation (eval) pipelines.
Harness Engineering – 2 Hour Workshop
A 2 hour workshop about Harness Engineering given by one of our AI experts
Interactive workshop for 10 attendees
Both digital and on-location options available.
Customize the Workshop
Looking to customize your workshop about Harness Engineering? Get in touch to discuss how we can tailor the workshop to your needs!
For example: more attendees, a tailor-made workshop through interviews, an external location, etc.
Get started with your workshop today!
