vivalistr / tools for autonomous software

We don't build apps for people to click through.
We build the endpoint an agent calls.

Most software still assumes a human is looking at the screen. We design the other kind: typed actions and structured responses that an AI agent can call directly, chain into a task, and hand back a result someone can check in one glance.

Talk to us See what that means
agent session · illustrative, not a live endpoint
CALL tools.schedule.reconcile(
calendar_id: "team-ops",
range_days: 14,
conflict_policy: "flag"
)
200 · 340ms
conflicts_found: 3,
auto_resolved: 2,
needs_review: ["thu_14:00_standup"]
no screen was rendered · no button was clicked · one item held back for a person to confirm
01Built for tool calls, not page views
02Every response is typed and checkable
03Consequential actions still need a human
What we build

Software with the interface moved from screen to schema.

A person still decides what should happen. An agent works out how, and calls our tools to do it. Each one is scoped narrowly enough to reason about and typed clearly enough to fail loudly instead of silently.

tool.actions

Actions instead of screens

No dashboard to interpret, no form to fill in. An agent sees a small set of named operations with real inputs and outputs — book_slot(), not "click the calendar."

tool.context

State an agent can actually read

Every action returns structured, machine-parseable state — not a rendered page an agent has to scrape. What changed, what didn't, and what still needs a decision are separate fields, not buried in prose.

tool.guardrails

Limits enforced in the tool, not hoped for in the prompt

Spending caps, write scopes, and approval thresholds live in the tool definition itself. An agent can't be talked out of a limit that's enforced in code.

Design principles

An agent shouldn't have to guess how software works.

Most tools were built for a person to explore by clicking around. Agents don't explore — they call, read the result, and move on. That difference changes what "good software" means.

  1. 01

    Narrow the surface

    Fewer, well-defined actions beat one flexible interface an agent has to interpret. Ambiguity is where agents make expensive mistakes.

  2. 02

    Make failure explicit

    A tool call either succeeds with a typed result or fails with a reason. No silent partial states, no "something went wrong" left for the agent to reinterpret.

  3. 03

    Keep a person in the loop where it matters

    Read and low-stakes actions run freely. Anything with cost, legal weight, or a one-way door pauses for a human decision — by design, not as an afterthought.

About Vivalistr

Building the tool layer for agents that actually do the work.

Vivalistr is a software company based in Türkiye. We build tools — APIs, typed actions, structured data feeds — designed to be called by AI agents rather than operated by a person through a screen.

We build developer- and agent-facing software: the interfaces that sit between "an agent decided to do something" and "it got done correctly."

Ramazan Kızılyıldırım

Ramazan Kızılyıldırım

Founder & CEO

Get in touch

What should your agent be able to call?

Start a conversation [email protected]