Debug the Wrong Output From a NoInfra Agent

A hosted agent can look healthy and still return the wrong result. It may answer the first message, cite the wrong source, skip a required field, repeat stale context, or produce a summary that nobody can safely act on. That is frustrating, but it is also useful evidence. The worst response to a bad first output is to immediately rewrite the whole prompt, add more tools, switch runtimes, or upgrade the plan before you know what failed.

Treat the wrong output as a debugging packet. NoInfra is meant to get builders to a hosted agent run without provider-key setup or server work, but the first useful result still depends on the shape of the job. If the output is wrong, separate the failure into six parts: input, task boundary, tool access, token budget, prompt, and review rule. Only one of those should change on the next run.

Start with the sentence that is wrong

Do not debug the entire answer at once. Pick the exact sentence, row, recommendation, or missing field that made the output unusable. Then write down what the agent should have returned instead. A vague complaint like "the summary is bad" gives you no handle. A specific complaint like "the agent marked three blocked tickets as ready because it ignored the owner comment" points to an input or evidence problem.

Use a small failure record:

• Expected output: the field, decision, or format the human needed.
• Actual output: the exact sentence or row that was wrong.
• Business impact: whether the result is confusing, incomplete, risky, or merely lower quality.
• Next hypothesis: input missing, prompt unclear, tool unavailable, budget too broad, or review rule absent.

This record keeps the next run from becoming a random reroll. It also helps you decide whether the agent failed to reason or simply lacked the right context.

Check the input before the prompt

Many wrong outputs are not prompt failures. They are input failures. The agent received stale notes, a partial ticket, the wrong customer thread, or a pasted brief that mixed current facts with old decisions. Before editing the instruction, ask whether a careful human could have produced the right answer from the same input packet.

If the answer is no, fix the input contract. Add the missing source, trim stale context, name the time window, or require the requester to include the current decision owner. A stronger prompt cannot reliably recover facts that were never supplied. For a first NoInfra agent workflow, this is one of the cleanest reasons to keep the job narrow: smaller inputs make wrong outputs easier to inspect.

Find the task boundary that moved

A wrong answer often appears when the task quietly expands mid-run. The agent is asked to triage support tickets, then draft replies, then decide refunds, then update the workspace. Those are different jobs. The first job may need classification. The second needs writing policy. The third needs business authority. The fourth needs tool permissions and a rollback path.

If the output mixed these responsibilities, narrow the next run to one boundary. For example: "classify each ticket as ready, blocked, or needs human review, and do not draft a customer reply." That instruction is easier to evaluate than "handle the queue." Once the classification output is reliable, you can decide whether a second agent run should draft replies or only prepare context for the owner.

Create a NoInfra agent and test one bounded job with a clear output contract before expanding the workflow.

Separate tool access from reasoning

If the agent referenced the wrong file, missed the latest note, or failed to include evidence, do not assume the model misunderstood the task. First check whether the agent had the right access path for the job. A hosted workflow should make the required source explicit: the inbox label, ticket queue, document, sheet, repository, or pasted brief that defines the current state.

Then make the output show its evidence. Ask for fields such as source name, last updated date, missing context, and confidence level. These fields do not make the agent smarter by themselves. They make the review cheaper. When the source column is blank or stale, the problem is easier to diagnose than a polished paragraph with no trace.

Put a budget around the retry

When a result is wrong, the tempting move is to ask the agent to "try again" with more detail. That can burn starter tokens without teaching you anything. Give the retry a budget and a purpose. The next run should test one hypothesis, not search the entire solution space.

Good retry instructions are narrow:

• "Use only the tickets updated in the last 24 hours."
• "Return only blocked rows and name the missing owner."
• "Stop if the source does not include a current customer request."
• "Do not draft replies; produce review evidence only."

A retry budget is not just about tokens. It is about attention. If the second output still fails, you want to know exactly which assumption survived and which one broke.

Add the review rule to the output

The first useful output is the one a human can judge quickly. Add the review rule inside the task itself. For a triage workflow, the rule might be: every row must include issue, likely cause, next action, evidence, confidence, and missing context. For a launch checklist, the rule might be: group each item into ready, blocked, or needs review, and include the blocker owner when known.

This turns wrongness into a visible category. If the issue is missing evidence, you know to fix the source path. If the issue is wrong classification, you know to tighten examples. If the issue is an unsafe recommendation, you know to add a stop rule or human approval step. Without the review rule, every bad output feels like a general quality problem.

Change one thing, then rerun

The debugging loop should be small: capture the wrong field, pick one failure hypothesis, change one part of the setup, and rerun the same job. Do not change the prompt, sources, tools, runtime, and output format at the same time. If the next output improves, you will not know why. If it gets worse, you will not know what to undo.

NoInfra helps by keeping the hosted-agent path focused on the run, not the surrounding infrastructure. Use that advantage. Spend the first debugging session on the work contract: what goes in, what should come out, what evidence the human needs, and when the agent should stop instead of guessing.

A wrong output is not a failed hosted-agent experiment. It is the first useful signal about the workflow boundary. Capture it, narrow it, and rerun with one sharper rule.

Create a NoInfra agent and use the next run to debug one output failure with evidence, not guesswork.