What is an AI agent harness?
A founder evaluating a new market needs evidence, a comparison of competitors, and a plan for testing demand. Each part depends on the others. The research should shape the strategy, and the strategy should explain what to do next.
This is where an AI agent harness becomes useful: it gives an AI model a structured way to work through a task using context, tools, and feedback.
Microsoft describes a harness as the runtime that enables a model to use tools, handle multistep assignments, and retain task history. Its explanation includes planning, context management, and approvals among the supporting capabilities.[1]
Consider a request to compare three competitors. A model can suggest which questions to investigate. A harness can coordinate the available research tools, return findings to the model, and manage the next step. The important connection is between taking an action and using its result to decide what happens next.
How Kona applies the harness concept to business work
Kona’s agent architecture supports coordinating tasks, using available tools, and incorporating execution feedback. The workspace gives that approach a business purpose. The user provides the objective and reviews the outcome; the supporting software organizes how agent tasks proceed.
You can use Kona for research, business plans, forecasts, presentations, and editable deliverables. It connects conversations with work that users can continue developing.[2]
A harness provides mechanisms for organizing that process. Its presence alone does not establish that every answer is correct. The quality of the evidence and the suitability of the output still matter. For a business owner, the practical question is straightforward: can this product help me develop work I can inspect, improve, and use?
Research a market before committing resources
Suppose you are considering a service for independent fitness studios. Your first question is whether a particular customer segment has an unmet need. Ask for a comparison of relevant competitors, their target customers, published pricing, and positioning.
Review the findings for a specific decision: which customer group deserves further investigation? A competitor’s missing feature may suggest a hypothesis, but customer interviews help establish whether anyone cares enough to pay.
Kona’s competitive analysis guide provides a related process for connecting research to strategic choices. Use the suggested market-research brief in the prompts section as a starting point.[4]
Build a plan around explicit assumptions
An early business plan becomes more useful when it shows what must be true for the business to work. Describe the customer problem, offer, acquisition approach, operating costs, and milestones. Ask for estimates to be labeled clearly and for missing information to be identified.
Then challenge the assumptions. What would change if customers took twice as long to acquire? Which operating costs are supported by actual quotes? What evidence would justify the next investment?
Kona’s planning capabilities include editable assumptions, scenario comparisons, and source records attached to the work.[3]
Turn research into a concise decision brief
A manager reviewing an expansion proposal needs a clear account of the options, evidence, and unresolved questions. Ask for a concise brief that explains the opportunity, compares the options, identifies the largest uncertainties, and proposes a small pilot with measurable success criteria.
Give the brief an audience and a decision deadline. Ask for the strongest objection to the recommendation. These instructions make the assignment more specific and give you a practical standard for reviewing the result.
AI model, AI agent, harness, and workspace: the difference
These terms describe different parts of an AI product. Kona brings the workspace and agent harness together around business work.
| Term | Its role | Business example |
|---|---|---|
| AI model | Interprets information, reasons about the task, and generates content or proposed actions. | Suggests the questions to investigate when comparing competitors. |
| Agent harness | Coordinates the model, available tools, task context, and execution rules. | Returns research-tool findings to the model so they can inform the next step. |
| AI agent | Uses a model and supporting software to pursue a task within defined capabilities. | Works through a bounded competitor-research assignment. |
| AI workspace | Gives people an interface for directing work, reviewing results, and developing deliverables. | Lets you review and refine the resulting business brief. |
How to get better results from a business AI workspace
A useful brief contains a decision, context, constraints, and a deliverable. After the first draft, give targeted feedback. “Compare the two options using implementation cost and time to value” gives clearer direction than “make this better.”
- 01
Define the decision
Outcome: A clear objective for the assignment.
- Explain what you are trying to decide or accomplish.
- Identify who will use the result.
- 02
Provide the context
Outcome: Relevant information and visible gaps.
- Describe what you already know and provide relevant source material.
- Separate established facts from estimates and open questions.
- 03
Set the constraints
Outcome: A task that fits your situation.
- Specify the budget, geography, timing, and requirements that apply.
- Explain which tradeoffs matter for the decision.
- 04
Specify the deliverable
Outcome: A concrete result with a clear audience and format.
- State what you should receive and what would make it useful.
- Give the output an audience, length, and decision deadline.
- 05
Review and refine the work
Outcome: Work you can examine, refine, and discuss with colleagues.
- Inspect important sources, challenge forecast inputs, and check that proposed actions fit your resources.
- Give targeted feedback and ask what evidence would change the recommendation.
Prompts you can use
Replace the bracketed details, attach the relevant source material, and keep the review step in the same workspace.
Market research
Prompt 01I’m exploring a scheduling service for independent fitness studios in the United States. Research three relevant competitors using public sources. Compare their target customers, published pricing, and positioning. Separate sourced facts from assumptions, and suggest five questions for customer interviews.
Why it works: It defines a customer segment, a comparison, and a concrete next step. Adapt this suggested brief to your own market.
Business planning
Prompt 02Help me develop a business plan for a subscription service aimed at small accounting firms. Cover the customer problem, offer, acquisition approach, operating costs, and milestones. Label estimates clearly and identify the information I need before making a launch decision.
Why it works: It connects the plan to a launch decision while keeping missing information visible.
Leadership decision brief
Prompt 03Use the research and assumptions in this project to draft a two-page expansion brief for leadership. Explain the opportunity, compare the options, identify the largest uncertainties, and propose a small pilot with measurable success criteria.
Why it works: It specifies the audience, length, evidence, and decision the deliverable should support.
Editorial method
How this guide was prepared
This guide explains the agent harness concept using Microsoft’s published description and connects it to Kona’s public product information. The prompts are illustrative briefs readers can adapt. A harness describes how agent work is organized; it does not guarantee accuracy or a business outcome.
Read Kona’s editorial standardsSources
Sources and benchmarks
[1]
The Microsoft Agent Framework Harness is now releasedMicrosoft Developer Blogs · 2026-07-22
[2]
Kona: Your AI workspace for businessKona Business AI
[3]
Product capabilities and readinessKona Business AI
[4]
AI Competitive Analysis Planning PlaybookKona Business AI
[5]