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Demos

See for yourself what's possible.

Instead of descriptions: working examples. Click through complete sector websites, play a workflow through, follow a conversation with an agent — or have a phone call read aloud to you.

Conversations with an agent

Pick a scenario. Watch where each answer comes from — and when the agent hands over to a person.

The project frame

How Awelior would approach this project

The businesses shown here are invented — the way they are built is not. None of this is work delivered for a client. It is the shape we would give such a project — with the same depth, but without a client who would have to answer for it.

Where it starts

A chatbot that answers every question is more dangerous in customer service than none at all: it invents a delivery date and the company carries the consequences. The task is therefore not to get an agent talking, but to tie it to the systems an answer may come from — and to let it stay quiet where none does.

Decisions

  • Every answer names its source

    Stock system, parcel tracking, price list, quality manual. Anything standing there without a source is guesswork — and in a conversation you can read along with, the difference is obvious straight away.

  • The limit is highlighted, not hidden

    “I can't judge that.” “I don't give out reasons for absence.” Sentences like these are the strongest argument for an agent, and at first they looked like any other answer. Now they are marked out — exactly like the handover to a person.

  • Narrow briefs instead of one know-it-all

    Customer service, appointments, frequently asked questions, quotations, product information, faults, complaints, purchasing, internal knowledge, rota, class booking, membership fees, order taking on WhatsApp, order status on Telegram, Instagram direct messages. Each agent has a narrow brief and a short list of connected sources — an agent for everything would have a reliable answer for nothing.

Deliberately left outNo call to a language model. The conversations are stored and run entirely in the browser. A live agent on a demo page would have to be wired to invented systems — and would then invent precisely what this section argues against.

What is in it

Conversations
12
Turns
102
Languages
4

Stored conversations — how many there are and how many turns they have is shown above, counted rather than typed — in four languages, with source, handover and limit as visible markers. Play and reset work; there is deliberately no input box, because it would promise an answer that never comes.

How it would go on

  • Connecting your sources

    Which systems the agent may read, which it may not, and what happens to data that has no business going near a language model.

  • Handover to people

    To whom, at what hours, with what context — and what the person on the other end is told when nobody is free.

  • Supervision

    Reading along, reviewing, correcting. An agent nobody looks at after launch drifts — usually in exactly the place where it gets expensive.

Talk through your project

Choose a scenario

These conversations are scripted and run entirely in your browser — no request goes to a language model. In the real version we connect the agent to your systems.

Customer service agent

Connected to the inventory system, shipment tracking and invoice archive of a specialist retailer.

Click "Start conversation" to play the exchange.

Tell us what you have in mind.

Answer a few questions about your project. At the end you book an appointment and see a guide figure for the effort — free, without obligation and with no sales pitch.

  • You'll hear back within 24 hours
  • No sales pressure
  • Fixed price before work starts