Scalia

The AI agent builder that asks you questions and turns them into a finished agent.

Scalia is ScaleTalk's AI agent builder. Instead of writing a prompt on a blank page you fill in a questionnaire — and get a fully configured agent with prompt, voice, knowledge base, variables and capabilities.

VideoanleitungScalia, the AI agent builder
Scalia with its two modes: create a new agent or improve an existing one
Scalia with its two modes: create a new agent or improve an existing one

Beta

Scalia is marked beta. The results are already production-grade, but the question set keeps evolving. Check the generated agent like any other under Testing before going live.

Two modes

ModeFor
Create a new agentFrom nothing to a finished agent, guided by a questionnaire
Improve an existing oneSharpen a running agent against real calls

The second mode is also reachable straight from the agent list, via Improve with Scalia on each agent card.

Building a new agent

Scalia starts from what it already knows about your account — from onboarding, say — and lets you confirm or correct it. Then you work through the questions. Every one can be typed or dictated.

Typical requests

The most important question in the whole questionnaire. List what people call you about:

Rental enquiries, general questions about apartment availability,
damage reports, viewing appointments and other requests

Scalia reads which capabilities you actually need out of this. Mention viewing appointments and you get the calendar question later; mention nothing appointment-like and it is skipped. The more concrete you are here, the less you have to fix afterwards.

Knowledge base

If you want, upload a PDF, Word or text document right away. It becomes the finished agent's knowledge base.

Tone

How the agent should come across — human and warm, for instance. You can add your own: "friendly, empathetic and professional".

Flow and contact details

Here you describe in detail how the agent should work and which contact details it must collect: name, email, phone number, optionally an address or more depending on the request. These become the variables later.

Transfers, appointments, API

Depending on your requests, Scalia asks about:

  • Transferswarm or cold, or none at all
  • Appointment booking — including connecting a calendar directly
  • API request — a draft integration with an external system

All of it is skippable and can be added later in the editor.

Pronunciation, voice, opening

Optionally a pronunciation dictionary for in-house terms, then the voice — Scalia offers the most-used ones — and a pre-filled opening line you can keep or rewrite. Finally the email address the call summary should go to.

Call guide

If you already have a decision tree or call guide, upload it here and Scalia follows it. If not: skip.

Finally, Create agent. Generation takes a moment.

The preview

You then see the finished agent along with the generated prompt. View system prompt expands it in full.

What you see in the preview is exactly what gets saved

Saving does not regenerate anything — the prompt from the preview goes into the agent unchanged. So anything you dislike here you fix either right here or afterwards in the editor.

Save to dashboard creates the agent. From then on it is an ordinary agent: knowledge base uploaded, prompt written, variables defined, greeting set. You can go straight to Test agent.

Answer in full sentences

The more concrete your answers, the better the generated prompt. "Customers ask about repair appointments, spare parts and the status of open orders" produces a far more usable agent than "support".

Improving an existing agent

This is the underrated half of Scalia — and the one you should use regularly.

Scalia in improve mode with agent picker, feedback and transcripts
Scalia in improve mode with agent picker, feedback and transcripts

Pick the agent

At the top you choose which agent to improve.

Say what bothers you

Free text, typed or dictated. Concrete beats general:

During booking it doesn't always ask for the name.
Things get repeated too often.
Too little warmth — no acknowledgements like "mhm" or "I see".

Select transcripts

The decisive step: you pick real calls for Scalia to work from. That way the improvement works on what actually happened, not on your memory of the problem.

Improve with Scalia

Scalia reworks the prompt and shows the result twice: at the top in plain words what changed, and below the prompt as a comparison — struck through in red what goes, green what arrives.

Apply the change

If it fits, apply it and the new prompt is in the agent.

The best time for this is not right after creating the agent but after the first real calls have run. By then the call overview tells you where the agent actually falls down.

Scalia or writing it yourself

Both end in the same place; an agent is an agent. The difference is the starting point:

  • Scalia when you can describe the use case well but do not know how a good prompt is structured.
  • Write it yourself when you already have a proven prompt or are rebuilding an existing agent.

Once created, a Scalia agent is an ordinary agent. You can override every setting by hand in the editor — and the prompting guide helps you sharpen it deliberately.

Not visible in every account

In partner accounts Scalia is available to owners only, not to all users. If the entry is missing from your sidebar, that is why.

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