AI Studio

Build a better AI agent — and make it yours.

Give it your knowledge, turn on commerce skills, set guardrails, and test it in the Playground before it goes live across bitChat, bitCRM, and your commerce workflows.

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Also on the Shopify App Store

Trusted by 1,000+ brands in 50+ countries · Official Meta Tech Partner · Shopify Partner

AI Studio dashboard — configuring an agent’s knowledge, skills, and guardrails
One engine, everywhere it works
1,000+ brands building their agent here
50+ countries, one configuration
100+ languages the agent answers in
Any channel — one configuration

Trusted by 1,000+ brands across support, commerce, and lifecycle journeys

Built unified, not bolted together

One agent runs support, marketing, and sales — in one system.

Not three tools bolted together. One agent, one customer record, every job.

AI Studio — the engine

One engine underneath. Three jobs on top.

The skill library

Turn on what the agent can do.

Turn on the skills your agent needs — recommend, take the order, track it, collect details, follow up, escalate. New skills ship all the time.

Sales

Product Recommendation

Understands what they mean, not just what they typed — context-aware picks from your live catalog.

Sales

Create Order

The sale closes in the thread — no forms to fill, no new checkout to learn. They just chat, the way they already do.

Support

Order Tracking

Answers “where’s my order?” from live order and fulfilment data — no waiting on a human.

Marketing · Support

Data Collection

Captures intent and details mid-chat, writes them to the record — and can qualify the lead on its own.

Marketing · Sales

Follow-up

Reopens the conversation at the right moment — while intent is still warm.

Support

Escalation

Hands to a human with the full thread and a written brief — nobody starts over.

Each skill is configured here and runs in the job it serves — Support, Marketing, and Sales.

Knows your store

It reads your live inventory and price.

Native to Shopify, it reads live products, current inventory, and current price the moment a customer asks — so it never promises a sold-out size or quotes yesterday’s price. Not on Shopify? bitbybit Commerce gives the agent the same live data — catalog, inventory, orders, and customers — natively.

  • Live catalog — products, variants, and descriptions straight from your store
  • Live inventory — checks what’s actually in stock before it answers
  • Current price — reads the price as it is right now, not a cached copy
  • Knowledge base, four sources — files (PDF, docs, sheets), pasted text, a website crawl, or images
Knowledge base setup

Shopify catalog synced — answers stay current as your prices change.

Knows your customer

It knows the customer before they say hi.

It reads order history, past conversations, and what they were browsing on your store — so the moment they message, it’s already up to speed. No cold start, no making them repeat themselves.

  • Order history — what they’ve bought, returned, and asked about before
  • Past conversations — picks up the thread instead of starting over
  • Browsing signals — the product they were just looking at, before they ask
  • No cold start — instantly relevant, so the conversation goes straight to what they came for

It recognizes the customer — order history, past chats, and what they were browsing.

Guardrails & escalation

You set the rules. It won’t guess.

When it’s unsure, it says so and hands to your team — no made-up orders, prices, or policies. It answers from your data and your rules, with guardrails that block off-topic and made-up replies.

  • Off-limits topics — set what it should never handle; those always escalate
  • Allowed actions — control what it does alone vs. what needs a human
  • On-brand, on-policy — guardrails on every reply
  • Clean handoff — named escalation conditions, full-context brief
Guardrails & handoff

Escalation fires — the human inherits the full thread, nothing repeated.

Make it yours

Tune how it thinks, how it talks, and see why.

This is the engine, not a chat box. Pick how the agent reasons, set the voice it answers in, and open the reasoning trace to see the exact steps behind any reply — the skill it ran, the knowledge it read, the result.

Mode

How it thinks.

Two modes. Conversation answers fast for everyday chat; Reasoning works through multi-step questions before it replies.

Conversation Reasoning
Set in AI Studio
Tone

How it talks.

Set the voice from presets, so every reply sounds like your brand — not a default bot.

Professional Friendly Informative Enthusiastic Supportive
Set in AI Studio
Instructions

What it knows to do.

Write a custom prompt in plain language — house rules, what to lead with, what to avoid — and set the languages it answers in. The agent follows your instructions, not a generic default.

Recommendations

How it recommends.

Set the rules behind every pick — what to prioritize, what to upsell, what to never suggest — so it sells the way you’d brief a good salesperson.

Reasoning trace behind one reply
Reply

“Yes — the Linen Wrap Dress in M is in stock. To Bandung it’s about 2–3 days via JNE.”

  1. 1
    Knowledge

    Read the live catalog — found the Linen Wrap Dress, confirmed the M variant in stock.

  2. 2
    Skill · Product Recommendation

    Matched the in-stock M variant to what the customer asked for.

  3. 3
    Skill · Order Tracking

    Estimated delivery to Bandung from fulfilment data — 2–3 days via JNE.

  4. 4
    Result

    Composed one answer in the brand tone, ready to send.

Every reply leaves a trace — so you tune the agent on what it actually did, not on a guess.

Inside the Playground

Test the agent as a real customer, before it goes live.

Test as a real customer profile and watch it answer from their order history — not a script. The reasoning trace shows the exact skill it called, the parameters, the result, and why — so you tune it before it goes live.

AI Studio · Playground test mode
Your agent grounded on your catalog · live config
Do you have the linen wrap dress in size M? And when would it reach Bandung?14:31
Yes — the Linen Wrap Dress in M is in stock. To Bandung it’s about 2–3 days via JNE. Want me to set the order up for you?14:31
Product Recommendation matched the in-stock M variant from your live catalog · Order Tracking quoted delivery
Yes please. Can I get a wholesale price if I take 10?14:32
Let me bring in our team for wholesale pricing — they’ll already have everything you’ve told me.14:32
Escalation guardrail pricing exceptions route to a human — the full thread is handed off, nothing repeated
Does the linen dress meet the EU GPSR safety cert for kids’ sizes?14:33
I don’t have that in my sources, so I won’t guess on a safety question. I’m bringing in a human who can confirm the GPSR certification — they’ll see this whole thread.14:33
Guardrail · grounding answer wasn’t in the knowledge base — the agent declined instead of fabricating, then Escalation handed off with the full thread. Saying “I don’t know” is configured behavior, not failure.

Same agent, two customers, two answers — each from their own context.

The character

An agent that acts, learns, and knows its limits.

Get things done

It acts — doesn’t just answer.

Recommends, takes the order, follows up — the work gets done in the thread.

Continuously improve

Improves with context.

Every conversation makes the customer record richer.

Stay humble

It knows when to step back.

Won’t guess past what it knows — escalates, never pressures.

One agent, one loop — built once, working everywhere.

One agent, one loop

Build → resolve → remember → follow up.

One agent moves through the whole journey: built in AI Studio, live in bitChat, remembered in bitCRM, and following up on real customer signals.

You are here 01Build AI Studio Build the agent once: knowledge, skills, guardrails, tested in the Playground.
02Resolve bitChat Answer, recommend, take orders, and hand off with context — in the thread. 03Remember bitCRM Every conversation and order saves to one customer record.
04Follow up Marketing + Sales Cart recovery, reorder, win-back, and sales follow-up — triggered by real signals. Marketing → Sales →
Built unified, not bolted together

A configured engine,
not a generic chat box.

Generic AI tools give you a chat box and wish you luck. AI Studio is the engine commerce brands build their agent in — your mode and tone, your products and rules, a reasoning trace you can read, and one agent across support, sales, and marketing.

Capability Without AI Studio AI Studio
More than support Support-only AI deflects a ticket and stops there. Marketing and sales live in other tools. One agent works support, sales, and marketing on the same customer record — built unified, not bolted together.
Knows your business Gives generic answers. It does not understand your products, policies, or how your business operates. Connects to your catalog, order data, and knowledge base so every answer is accurate, current, and grounded in your business.
You control the brain One fixed tone, and no visibility into why it answered the way it did. Choose Conversation or Reasoning mode, set the tone from presets — and read the reasoning trace behind any reply.
Prove it before launch You only discover gaps after customers start asking real questions. Test real conversations in the Playground, validate that skills and escalation fire, and refine until it’s right — before going live.
Improve over time Changing behaviour means rewriting prompts or starting over. Update knowledge, skills, or rules anytime. Changes go live immediately — no engineering sprint to change behaviour.
Takes action Can answer questions, but cannot actually do anything. Goes beyond chat — recommends products, drafts orders, sends payment links, and triggers actions inside the conversation.
Hands off cleanly No smooth way to bring in a human. Customers often have to repeat themselves. When your team steps in, they inherit the full conversation and a written brief. No context lost.

Build a product-recommendation, order-taking, order-tracking, data-collection, follow-up, or escalation agent — or one brand-safe agent that does all of it.

FAQ

Questions about AI Studio.

What is AI Studio and what does it actually do? +

AI Studio is where you build the AI agent your customers meet — and it is the engine that powers support, sales, and marketing across every conversation. You connect knowledge, switch on the skills the agent is allowed to use, set guardrails and escalation rules, test behaviour in the Playground, and deploy across WhatsApp, web, Instagram, and Facebook. One configuration runs everywhere the agent works.

Will the AI answer accurately without hurting brand trust? +

The agent answers only from the knowledge you give it — your catalog, your orders, your policies — never the internet’s version of your business. You set guardrails for topics it should never touch, it says “I don’t know” and escalates rather than guessing, and you prove all of this in the Playground against your real configuration before any customer traffic reaches it. Accuracy is configured and tested, not hoped for.

What is the difference between a prompt and an AI agent? +

A prompt generates text. An agent takes action. In AI Studio you switch on named skills — Product Recommendation, Create Order, Order Tracking, Data Collection, Follow-up, Escalation — set the rules around each, and the agent recommends, drafts orders, tracks deliveries, tags the record, follows up, and escalates with context. The difference is in the actions, the guardrails, and the operational logic behind every reply.

How do I test an agent before it goes live? +

In the Playground, you test the agent as a real customer profile — it answers against your actual configuration and that customer’s order history, not a generic demo mode. You check how it uses its knowledge, watch the reasoning trace to confirm the right skill fired, validate that escalation triggers fire, and see how the handoff brief reads — before any live customer touches it.

Can I improve the agent after it is deployed? +

Yes — edit its knowledge, skills, and guardrails anytime in AI Studio. Better context makes a better agent.

Can I run one agent across a 20–100 person team without chaos or risking my WhatsApp number? +

Yes. One agent runs across your whole team on a single company-owned record, with role-based access, routing, and an audit trail of what was promised — so the customer relationship survives staff changes instead of walking out on a personal phone. It runs on WhatsApp Cloud API and the Business App (COEX) as an Official Meta Tech Partner, so scaling your team doesn’t put your number at risk.

Why do you say the agent is the new homepage? +

For twenty years the web was where customers met your brand — they searched, browsed, and checked out on pages. That’s shifting: the first impression and the deepest interaction now happen in the conversation, and the agent is the brand — how it speaks, what it knows, what it does. AI Studio is where you build that agent once. It inherits what the web did — discovery, comparison, checkout, support — and adds what the web never could: it listens, recognises, and acts on one customer record.

Build your AI agent — live across every channel, in minutes.

Build your brand into one agent — give it your knowledge, turn on what it can do, set the rules, and put it live across every channel. No card required.

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