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Agentic AI development studio

We build AI agents that do real work. Then we show you how.

Vikawork is a small agentic AI studio. We design, build, and run AI agents for companies, with tests, approval steps, and cost limits. We also publish videos and tutorials, and each tutorial comes with code that you can run.

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Fig. 1 — the mark, read as a map

Two arms. One studio.

Build

We build agents for your company.

From the first use case to an agent in production. Your team gets the code, the tests, and the runbooks.

See the services

Teach

We show how agents work.

Short videos that explain a mechanism, a piece of AI news, or a full build. No hype and no invented numbers.

See the videos

Run

Where the arms cross, code runs.

In your systems, with tests and limits. Or on your own machine, from the public repository of a tutorial.

Fig. 2 — one run of an agent

The agent waits for you.

This is the design we build. The agent plans, calls tools, and proposes an action. Then it stops, because a person decides. Try it.

  1. 09:14:02taskRefund request 4821 arrives from the support inbox.
  2. 09:14:03planRead the order and the refund policy. Nothing else.
  3. 09:14:04toolorders.get(4821) → paid 129.00, delivered
  4. 09:14:05toolpolicy.match("damaged item") → full refund
  5. 09:14:05proposeRefund 129.00 to the original card.
  6. 09:14:05waitWaiting for a person to approve.
  7. 09:16:40approveYou approve the refund.
  8. 09:16:41actionpayments.refund(4821, 129.00) → done
  9. 09:16:41logThe record keeps the action and your approval.

The agent proposes a refund of 129.00.

An illustration of the agent design that we build. It is not a live system.

Fig. 3 — rules that every agent follows

  1. A person approves each consequential action.
  2. Tests run before each release.
  3. Each AI call has a record and a limit.
  4. An agent gets only the access its task needs.
  5. Documents and user text are data, not instructions.

Fig. 4 — the mint arm

We teach what we build.

Each video has an entry on our site with its sources. Each tutorial has a public repository with the commands to run it. The first videos are in production.

  • Mechanism explainers
  • AI news explainers
  • Tutorials
See how the videos work

Fig. 5 — before the studio

We built our own AI products first.

We took two SaaS products to a private beta and retired both in 2026. The engineering goes into each agent that we build.

  1. The VikaHire pipeline board. Columns show each hiring stage, from New to Hired, with candidate cards in the first two stages.
    VikaHireA VikaHire pipeline with seeded demo data.
  2. A VikaHire AI interview rubric. Each item shows its score, weight, guidance, written reason, evidence control, and override control.
    VikaHireAn AI interview review with seeded demo data.
  3. VikaHire agent settings for concurrency, open runs, step timeout, token budget, and run deadline.
    VikaHireAgent runtime limits with seeded demo data.
  4. The VikaEstimate workspace. Sections contain tasks with hours, roles, confidence factors, range bars, and revenue ranges.
    VikaEstimateThe estimate workspace with seeded demo data.
  5. A VikaEstimate project summary with range bars for effort, cost, and revenue, plus the mid margin and project details.
    VikaEstimateA project summary with seeded demo data.
See our past work

Start with one task that slows your team down.

Tell us what the task is, who does it today, and which systems it touches. We will tell you whether an agent fits, and what it would take.

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