What are AI agents for business?

An AI agent is software that uses a model to decide its next step and calls tools, such as your APIs, databases or files, to finish a task instead of answering one prompt. For a business, the useful ones do a repeated task whose result you can check. The test for a first use case is simple: can you tell from the output alone whether it was right?

That test decides most of the project. An agent whose results nobody can score cannot be improved, only hoped for.

What you get, step by step

Everything in the package, in the order it lands. The price and the duration stay the same.

  1. Step 1: The agent

    One AI agent working on one real use case of yours.

  2. Step 2: The evals

    Evals that score its output on that use case.

  3. Step 3: The cost

    Cost per task, measured.

  4. 2 weeks

    USD 5,000

Want to keep going after the package? Add engineers by the hour at the published rates, with a 6-month minimum term. How staff augmentation works.

Proven on real work

Real clients, dated figures, and a plain note on what was not done.

Clouditive built our product with us goal by goal: the AI with its judge panel, the Google Cloud platform and 854 test files. We shipped 89 releases in 10 days, each checked to run the exact tested build, and a person still approves every piece.

Sebastian Tavul, CEOSebastian Tavul, CEO

What an agent that acts looks like in production

Performance by network in the agency console: what 3 networks report on 7 pieces from 2 brands, with the source of each figure. (interface shown in English)

On the AI advertising service we built, one system diagnoses a client's brand, sets objectives, plans campaigns, generates the pieces and schedules them on the client's social networks. The controls around it are the part worth copying:

  • A person approves every piece before anything is scheduled.
  • A panel of AI judges that only blocks. Each judge was measured against labelled examples before it went into service, and calibration tools tune it against people's own ratings.
  • Rules that stop forbidden claims before a piece exists: 10 forbidden prompts produced 0 pieces.
  • A cost ledger per model call and per piece, with cost per approved piece as the rule for choosing models.
  • OpenTelemetry traces to Google Cloud and 18 alert policies watching the service.

Prefer to pay by the hour?

Add engineers to your own team at the published rates instead of buying a package.

  • You interviewYou meet the engineer who will do the work.
  • 6-month minimumBilled per hour worked.
  • Free replacementIf they leave or don't fit, we replace them and cover the handover at no cost.
See how staff augmentation works
  • Lead / ArchitectUSD55–⁠60per hour
  • SeniorUSD45–⁠50per hour
  • MidUSD35–⁠40per hour
  • JuniorUSD30per hour

USD per hour, drawn to one scale

Frequently asked questions

What is an AI agent development company?

A firm that builds agents for your use case instead of selling a platform. At Clouditive that means the agent, the evals that score it and the cost per task.

Which use case should we start with?

One that repeats, touches data you can reach, and produces a result you can check from the output alone.

How long does the pilot take, and what does it cost?

2 weeks at a fixed price of USD 5,000: one AI agent on one real use case, evals that score its output, and the cost per task, measured.

Who approves the agent's work?

On our published agent case, a person approves every piece. How much autonomy yours gets is decided with the numbers the evals produce.

Which models do you use?

On our case, Gemini and open models on Vertex AI, with no single vendor. Model choice follows cost per approved output.

Does the code belong to us?

Yes. All code and intellectual property are yours from day 1, and we sign an NDA before the call if you ask.

Who are the engineers and what language do they work in?

Nearshore engineers in LATAM, working 100% in English, Spanish or Portuguese. You interview the engineer who will do the work.

Buy an agent platform or have an agent built?

Both are legitimate. A platform fits when your task matches what it already does and your data can leave your systems for it. A built agent fits when the task depends on your own systems, rules and data, or when you need to see exactly how it decides. This page is about the second case: we build the agent for your use case, and the code is yours from day 1.

How do you test an AI agent before it touches real work?

Score it on examples whose right answer you already know. The AI Agent Pilot writes the evals first-class: they score the agent's output on your use case, so every change shows up as a better or worse number instead of an impression. We test the judges the same way, each one against labelled examples before it goes live. Without that step, your users find the errors.

What does the pilot buy, and what comes after it?

The pilot is USD 5,000 fixed for 2 weeks: one agent on one use case, evals that score it, and the cost per task, measured. Then you decide with numbers whether to extend it, change it or stop. To extend, add engineers by the hour (a Senior is USD 45–⁠50, so 160 hours is USD 7,200–⁠8,000 a month) or an architect 20 hours a week for USD 4,480 a month.

Tell us your case.

We reply to every request within 1 business day. We sign an NDA before the call if you ask.