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// AI agents · function calling · RAG

Chatbots that actually do things.

We build advanced AI assistants and agents that don't just answer — they execute. Place an order, take a bet, schedule an appointment, file a ticket — directly inside the conversation. No app switching, no forms, no friction.
Build with usSee how it works

// real AI

// not just ChatGPT in a box

assistant.online

commerce

Place an order

function calling

RAG over your data

multi-tool agents

streaming · low latency

guardrails · auth · audit

01

Use cases

One conversation, real outcomes.

Anywhere a user fills a form today, an agent can do it for them — and actually click submit. Here are a few we've shipped.

placeOrder()

Commerce & food

Reorder favorites, build a cart, apply discounts, pay — all from a chat. Works on the web, in WhatsApp, or inside your app.

#e-commerce

#restaurants

#delivery

placeBet()

Sportsbook & gaming

Conversational betting: bet slips, live odds, deposits, KYC checks. Tool calls hit your existing book without rewriting it.

#betting

#gaming

#KYC

scheduleAppointment()

Scheduling & bookings

Find a slot, confirm with the provider, send the invite, push to the user's calendar. With reminders and rescheduling.

#salons

#clinics

#B2B

reserveListing()

Real estate & travel

Search inventory, hold availability, run quote logic, take a booking deposit — wired straight into your CRM/PMS.

#property

#travel

#CRM

triageAndBook()

Healthcare front-desk

Symptom intake, triage routing, appointment booking with the right specialist. HIPAA-aware design and audit logs.

#triage

#intake

#audit

handleCall()

Voice & telephony

Same agent, voice channel. AI receptionists, support bots, outbound campaigns — connected to the same tool layer.

#voice

#IVR

#inbound

02

How it works

From message to outcome

Every reply is the result of a small, observable agent loop. Boring, deterministic, debuggable.

user

reason

retrieve

execute

reply

> intent recognized

> context loaded from memory

> tool selected · args validated

executed in production

01

Conversation layer

Natural language UX across web chat, WhatsApp, voice, in-app — all backed by the same brain.

02

Reasoning layer

Frontier LLMs (Claude, GPT, open-weights) with structured tool selection and multi-step planning.

03

Knowledge layer

RAG over your docs, product data, CRM and history. Real-time embeddings, hybrid search, citations.

04

Action layer

Typed tools that hit your real APIs — orders, bookings, payments, CRMs — with auth and rate limits.

05

Guardrails

PII redaction, content policies, confirmation flows for high-stakes actions, full audit trail.

06

Eval & observability

LLM-as-judge evaluations, regression suites, traces, replay. We treat AI like the rest of production.

03

Beyond chatbot

Agents you can actually trust in production

We don't ship demos. We ship systems with auth, audit logs, graceful failure, evals, and SLOs — the boring stuff that makes AI actually deployable.

Channel-agnostic

Web widget, WhatsApp, voice, Slack, in-app — same agent, same tools.

Confirmations on rails

High-stakes actions (payments, bets, deletions) require explicit user confirmation by design.

Built to learn

Every conversation feeds eval sets so the agent gets sharper week over week.

04

Built on

Frontier models. Boring infra.

OpenAI

GPT · realtime · voice

Anthropic

Claude · long context

LangChain

agent runtime

Python

training · pipelines

Weaviate

RAG · hybrid search

Laravel AI

tool calls · streaming

Let's ship

Got a workflow trapped in a form?
Let's turn it into a conversation.

From scoping to production in 4–6 weeks. Bring a use case, we'll bring a working prototype.

Book a 15-min callMessage on WhatsApp