Before You Create a NoInfra Agent, Write the First-Run Spec

Most agent projects start with a sentence that sounds useful but cannot be tested: "help with sales," "run research," "handle ops," "keep me updated," or "automate support." Those are directions, not launch specs. They do not tell the agent what to read, what to produce, how to stop, or how a human will decide whether the first run worked.

That gap matters more in hosted AI agents than it does in a one-off chat. Once you create a hosted runtime, the question is no longer "Can a model answer something?" The question is "Can this agent run a specific job inside a workspace I can return to, review, and improve?"

NoInfra is built for that hosted step: create an agent, use managed server-side starter tokens, choose a runtime such as OpenClaw, Hermes, or NemoClaw when the job asks for it, and avoid turning the first experiment into provider-key or server setup. But removing infrastructure does not remove the need to scope the work. The best first NoInfra agent starts with a first-run spec.

A first-run spec is not a product roadmap

A first-run spec is a small operating contract for the first useful run. It should fit on one page. It should describe the first input, the output you expect, the review standard, and the next action after the run finishes.

It is not a list of every workflow the agent might eventually own. It is not a personality guide. It is not a prompt library. It is the narrowest test that proves the agent can do one job well enough to deserve a second run.

A good first-run spec answers five questions:

• What exact job should the agent do first?
• What input will it receive?
• What output should it produce?
• What would make the output acceptable?
• What should happen after a human reviews it?

If those answers are vague, creating a larger runtime will not help. You will just move the ambiguity into a hosted workspace.

Pick one job with a visible finish line

Start with work that has a clear before and after. Good first jobs include:

• Summarize a list of target accounts and draft next-step notes.
• Turn messy meeting notes into a follow-up plan.
• Review a small document set and extract action items.
• Prepare a weekly research brief from a defined set of sources.
• Clean a small spreadsheet and explain the rows that need human review.

Weak first jobs sound bigger but test less:

• "Do sales."
• "Manage my inbox."
• "Be my research assistant."
• "Automate operations."
• "Handle customer support."

Those can become real workflows later, but they are not first-run specs. The agent needs a visible finish line. A builder needs a concrete output to accept, reject, or revise.

Write the input boundary before the prompt

The fastest way to make the first run messy is to ask the agent for an outcome without defining the material it should use. A hosted agent can only be judged fairly when the input boundary is clear.

For a research agent, name the companies, sources, or questions. For an ops agent, provide the document, table, or thread you want processed. For a browser-first workflow in OpenClaw, define the site or account surface the agent should work from. For a repeated workflow that may later fit Hermes, write down what arrives every cycle and what should come back. For a controlled runtime experiment that may later fit NemoClaw, describe why the environment boundary matters.

The first prompt should not make the agent guess the work surface. It should point to it.

Define the output shape

The output shape is where many first agents become useful. Do not ask for "insights" if what you need is a short decision memo. Do not ask for "research" if what you need is a table with sources, next actions, and uncertainty called out.

Use a concrete output shape:

• A five-row table with company, reason to care, evidence, and next step.
• A brief with "summary," "risks," "recommended action," and "open questions."
• A checklist grouped by "ready," "blocked," and "needs review."
• Three outreach drafts with one sentence explaining the angle for each.
• A cleaned CSV plus a short note explaining changed fields.

This does two things. First, it gives the agent a target. Second, it gives you a review surface. You can judge whether the run worked without arguing about taste.

Add review criteria

Review criteria should be boring and specific. They keep the first run from turning into a vibe check.

For example:

• Every recommendation cites the source material used.
• The output separates facts from guesses.
• The agent names blockers instead of inventing missing data.
• The result is short enough to review in five minutes.
• The next action is clear without another prompt.

This is also where NoInfra's hosted shape helps. The goal is not just to get a model response. It is to produce a result in a workspace where you can inspect the run, adjust the prompt, and decide whether the workflow should repeat.

Choose the runtime after the job is shaped

Do not begin with "Which runtime is coolest?" Begin with the job.

OpenClaw is the clean default for many first hosted agents because it gets a browser-first workspace in front of the builder quickly. Use it when you want to operate directly, inspect what happened, and prove the first run without building infrastructure.

Hermes becomes more relevant when the workflow is delegated, repeated, or long-running enough that planning and execution loops matter. If the first-run spec already describes recurring work with a stable input and output, Hermes may be the better next shape.

NemoClaw belongs in the conversation when the runtime environment itself is part of the test. If the work needs a controlled Builder-style environment, isolation, or a more secure experiment boundary, write that reason into the spec before creating the agent.

The spec should make runtime choice easier. If it does not, the job is probably still too broad.

Ready to test one concrete hosted run? Create a NoInfra agent and start with a first-run spec narrow enough to review.

Keep token use tied to the proof

Starter tokens are most useful when they buy evidence. A first-run spec keeps token use connected to the job being tested.

Instead of asking the agent to explore broadly, ask it to process a defined input and produce a defined output. Instead of repeatedly trying bigger prompts, revise the spec: narrow the input, tighten the output shape, or add review criteria. If the first run works, you can decide whether the workload deserves more runs, a different runtime, or a larger plan. If it does not work, you have a specific failure to fix.

This is a better first experiment than setting up servers, wiring provider keys, and only then discovering that the workflow was not clear enough to evaluate.

A practical template

Use this template before creating the agent:

• Job: What should the agent do first?
• Input: What exact material should it use?
• Output: What should the result look like?
• Review: How will I decide whether it worked?
• Runtime: Why does OpenClaw, Hermes, or NemoClaw fit this job?
• Stop condition: When should the agent stop and wait for review?
• Next run: If this works, what is the second run?

Here is a filled-in example:

• Job: Research ten target accounts for an upcoming sales sprint.
• Input: A spreadsheet with account names, websites, and current notes.
• Output: A table with reason to care, source evidence, likely pain, and next-step draft.
• Review: Every row has a source and no invented claims.
• Runtime: Start with OpenClaw because the first task is direct and reviewable.
• Stop condition: Stop after ten rows and ask for review.
• Next run: Convert approved rows into outreach drafts.

That is enough to create a useful first agent. It is also enough to know when the agent did not work.

The first run should teach the next decision

After the first NoInfra agent run, do not judge the whole idea too quickly. Ask a narrower set of questions:

• Did the workspace open cleanly?
• Did the agent respond with a real output?
• Did the output follow the requested shape?
• Did it name uncertainty instead of filling gaps?
• Was the review step obvious?
• Do I know what to run next?

If the answer is yes, the agent has earned a second run. If the answer is no, the spec tells you where to fix it: input, output shape, review criteria, runtime choice, or prompt boundary.

That is the point of the first-run spec. It turns a broad agent idea into a hosted experiment with a real result. NoInfra can remove the infrastructure drag. The spec keeps the work honest.

Create the first NoInfra agent with one job, one input boundary, and one reviewable output: start from the NoInfra create-agent path.