// AI agents · function calling · RAG
Chatbots that actually do things.
// 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.
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
Sportsbook & gaming
Conversational betting: bet slips, live odds, deposits, KYC checks. Tool calls hit your existing book without rewriting it.
#betting
#gaming
#KYC
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
Real estate & travel
Search inventory, hold availability, run quote logic, take a booking deposit — wired straight into your CRM/PMS.
#property
#travel
#CRM
Healthcare front-desk
Symptom intake, triage routing, appointment booking with the right specialist. HIPAA-aware design and audit logs.
#triage
#intake
#audit
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.