What is an
AI Harness?
An AI model on its own just answers a question and stops. A harness is everything wrapped around it that makes it actually do the work — use your tools, take steps, and stay on track. The model is the brain. The harness is what runs your operation. FieldTracer is that harness for field service.
Agent = Model + Harness
The difference between two AI products is the harness, not the model. Two products built on the very same model can feel completely different, because their harnesses make different choices.
Four words, kept straight.
Model
The LLM — Claude, GPT, DeepSeek. Text in, text out. No memory between calls, no loop. It can say it wants to use a tool, but it can’t actually run anything.
Scaffold
What the model works from: its instructions, the tools it’s told about, the format it answers in, and what it remembers across steps. It shapes how the model sees the job.
Harness
What makes it run: it calls the model, executes its tool calls, decides when to stop, handles errors, and keeps it on track. The harness is what turns a chat box into a worker.
Agent
A model plus everything around it that lets it act instead of just reply. It takes in information, decides what to do, does it, and repeats — in a loop. It’s the only piece your team ever talks to.
It’s layers, not a list.
The model sits at the center. The scaffold tells it how to see your world. The harness drives it through the work. Put them together and you have an agent — the only piece your team ever actually talks to.
The LLM doing the thinking
What FieldTracer is.
FieldTracer is a harness built for field operations. It wraps a top AI model with the four things that turn it into a teammate that actually runs your business:
Your operation, wired in
Routes, units, work orders, and the documents they generate: all wired in, so the AI can actually run them instead of just describing them.
Your rules, codified
A skill library gives the agent your workflow instructions. Keep those instructions current, test important changes and define which results require human review.
An engine that runs itself
Cron jobs, hourly triage, and lasting memory. The agent runs your ops loop on a schedule, whether or not you ask.
Work in your own words
Your team asks for the route, the ticket, the overdue list — in their own words. The harness turns it into the right action and hands back the result.
It builds your system, then runs it.
The Harness works with the systems and workflows configured for your operation. Implementation includes mapping the data, setting access, testing representative tasks and helping staff practise the review steps.
The workflows are already in the box.
The skill library draws on field-service product work, including order entry, routes, service tickets and billing. Available workflows depend on your edition, connected system and agreed implementation scope.
Earned, not theorized
Our workflow work includes the PRO Enterprise product and the FieldTracer demonstrations. Review the workflows that match your edition and operating needs.
Workflows generic AI has never seen
Field-service tasks need the right records, terminology and process checks. The skill library supplies instructions for configured workflows and can be extended for an agreed scope.
Add your own rules
Add instructions for your operation and test them with representative tasks. Staff review the results and refine the instructions when requirements change.
Everyone has the same models. The harness is the difference.
Raw AI is a chat box. The value is in the harness around it — the part that knows your tools, your workflows, and your rules. That’s the part we built, for field service, so you don’t have to.
Put FieldTracer to work with your team.
Self-serve checkout. 7-day trial on hosted. No demo required.