Your product, booked by AI.

Your customers already live inside ChatGPT and Claude. BookedByAI puts your product there too, so they can order, book, and get help with you without leaving the assistant, and without you building anything.

Where this is going
Deep clean booking
claude.ai/chat
Deep clean booking
Share

Book me a deep-clean for Saturday morning.

▍

BrightHome · get_availability

BrightHome · Deep clean

Saturday · 9:00 AM

Booked
Added to your calendarJune 2026
SMTWTFS123456789101112131415161718192021222324252627282930

9:00 AM · Deep clean

BrightHome · Sat Jun 20

▍

Now plan me a getaway next month, somewhere fun.

▍

Wanderwell · search_trips
Rome

Rome, Italy

3 nights · from $540

Picked
Rome, Italy

Rome, Italy

3 nights · May 15–18

MCP UI
  • Flights · 2h 20m direct
  • 4★ hotel by the Pantheon
  • Skip-the-line Colosseum tour

Total · all-in

$540

Wanderwell

Rome · 3 nights

Checkout
Trip total$540
VISAVisa ···· 4242Saved
Trip bookedWW-7042
Rome

Rome, Italy

May 15–18, 2026 · 3 nights

Paid $540 · confirmed

▍

Reply to Claude…

Get your product agent-ready.

We read only the code in the repositories you connect us to. Agents reach your product through one gateway we host, which calls your API with the scoped credentials you provide, nothing more.

Be among the first 50 teams trying BookedByAI

AI can already act for your customers. The question is whether it gets your product right.

Think of it this way. A spec is your product’s menu, a list of what exists. Your code is the kitchen, where the work actually happens. Most tools that connect AI to a product read only the menu, so the AI has to guess how things really work. It guesses wrong, then hands your customer a wall of text. BookedByAI works from the kitchen, so what the AI does with your product actually works.

Spec-first MCP

OpenAPI → one tool per endpoint

Context loaded up front1≈55K tokens
Right tool picked214%
Task accuracy179.5%
Your customer gets a wall of text3
I tried to place the order but hit validation errors. The API needs customer_id, address_id, and currency, and the order has to be created as a draft first. Could you confirm your saved address and the right currency so I can retry…

BookedByAI

MCP UI

Code → a few intention-shaped tools

Context loaded up front1up to 85% less
Right tool picked243%
Task accuracy188.1%
Your customer gets an interactive UI3
Booked · BrightHomeSat Jun 20
Jun20

9:00 AM · Deep clean

Added to your calendar · tap to reschedule

Interactive UI preferred up to +72% over chat text.3

Shipping in production: GitHub trimmed Copilot from ~40 built-in tools to 13 and measured a 2–5 point gain on SWE-bench Verified and SWE-Lancer, with 400ms lower latency.4
  1. 1 · Anthropic, “Advanced tool use” (2025): 58 tools ≈ 55K tokens; ~85% fewer and 79.5%→88.1% accuracy when only relevant tools load.
  2. 2 · RAG-MCP (arXiv:2505.03275, 2025): tool-selection accuracy 13.6% (all tools in prompt) → 43.1% (only relevant tools).
  3. 3 · “Generative Interfaces for Language Models” (arXiv:2508.19227, ACL 2026): interactive UI preferred up to 72% more than chat. Measures human preference.
  4. 4 · GitHub, “Making Copilot smarter with fewer tools”(2026): default toolset cut from ~40 to 13; +2–5 pts on SWE-bench Verified & SWE-Lancer (GPT-5, Sonnet 4.5); 400ms lower latency.

The technical version.

A spec lists your endpoints, not which ones matter, what order to call them in, or which of 40 fields a real request needs. So a spec-first agent guesses, retries, and burns tokens, then hands your customer a wall of text. Read the code instead and the same job takes fewer calls and fewer tokens, and returns a UI your customer can actually use.

One messy endpoint becomes a few tools your AI can actually use.

BookedByAI reads your code and proposes a set of clear, intention-shaped tools. You decide which go live. Flip each one on or off.

acme-inc · MCP tools4/5 on
  • create_draft_orderStart an order the customer can edit before paying.
    On
  • submit_orderPlace a finished order. Only the fields that matter.
    On
  • reorder_previousRepeat a past order in one call.
    On
  • track_shipmentGet live status for an order already placed.
    On
  • cancel_orderCancel an order that hasn’t shipped yet.
    Off

From repo to a live gateway URL in five steps.

An MCP gateway is the standard way AI apps connect to your product. We host it; you connect your code. The GitHub App handles the rest.

  1. acme-inc
    api-platform
    Project name
    01Create a project

    A workspace for the product you’re about to make agent-ready.

  2. BookedByAIInstalled
    github.com/acme-inc
    12 repositories
    02Connect GitHub

    Install the BookedByAI GitHub App once at the org level.

  3. api
    web
    worker
    infra
    03Select repositories

    Pick the repos that make up your product.

  4. 04Generate tools

    We read the code and shape your MCP tools.

  5. acme-inc · mcp serverLive
    submit_order
    create_draft_order
    reorder_previous
    track_shipment
    05Your gateway URL

    We host the gateway. Flip tools on and connect any AI app to your URL.

Turn it on once. Your product shows up wherever your customers work.

One gateway URL, and the same tools work in every AI app your customers reach for, with nothing to rewrite or maintain per app.

Your gateway URLOne endpoint we host, built from your code
One gateway
  • Claude
  • ChatGPT
  • Perplexity
  • Gemini
  • AAny MCP app

Build it once, with no per-app SDKs and no separate integrations. When a new app speaks MCP, you’re already in it. Being discovered inside them, without anyone adding it by hand, is on our roadmap.

Your code changes. Your tools keep up.

A tool built from a static spec goes stale the moment you ship. Every merge to main regenerates the tools affected by the change. Agents never call an action that no longer matches your product.

Main branch only. No stale snapshots. No manual updates.

PR merged to main
Regenerating affected tools
MCP server updated, live

Where every approach actually sits.

There are a few honest ways to make your product usable by AI agents. Here’s how they compare, including the rows where we come up short.

Stainless
Speakeasy
FastMCP
Zapier
BookedByAI
Built from your real codenot just an API spec
Stainless: No
Speakeasy: No
FastMCP: Partial
Zapier: No
BookedByAI: Yes
Tools shaped around intentnot one tool per endpoint
Stainless: Partial
Speakeasy: No
FastMCP: Partial
Zapier: Partial
BookedByAI: Yes
Stays in sync when you ship
Stainless: Yes
Speakeasy: Not documented
FastMCP: No
Zapier: Yes
BookedByAI: Yes
You self-host itoff the vendor’s data path
Stainless: Yes
Speakeasy: No
FastMCP: Yes
Zapier: No
BookedByAI: No
Works without an API spec
Stainless: No
Speakeasy: No
FastMCP: Yes
Zapier: Yes
BookedByAI: Yes
No repo or engineering to start
Stainless: No
Speakeasy: Partial
FastMCP: No
Zapier: Yes
BookedByAI: No
Connects other apps for youSlack, CRMs, and the like
Stainless: No
Speakeasy: No
FastMCP: No
Zapier: Yes
BookedByAI: No
✓ yes~ partial– no? the vendor doesn’t document it

We run the gateway. You stay in control.

  • We run the gatewayAgents connect to one URL we host for you. There’s no server for you to run, patch, or scale.
  • Built from your codeWe read only the repos you grant the GitHub App, and only at build time, to shape your tools. They refresh on every merge to main.
  • Your credentials, your scopeThe gateway calls your API with the scoped credentials you give it. A tool can never do more than those credentials already allow.
  • Pass-through, not storedToday the gateway forwards each call in real time and doesn’t keep your customers’ data. Encrypted in transit, with the protections you’d expect.
When an agent calls
AI agent
your URL
BookedByAI gateway/mcp/acme
Your scoped credentialsPassed through · not stored
Your API
Your data
At build time
Your coderead on each build to shape your tools
Agents reach one URL we host. Each call is routed to your API on the scoped credentials you provide and passed straight through, so your customers’ data isn’t stored. You choose which tools are live.

See how AI actually uses your product.

Every call runs through your gateway, so the usage is right there. We turn it into insights — and funnels you can act on — rolling out now for early-access customers.

BookedByAI / acmeEarly access

Activity

Past 7 days
Tool calls
13,180↑ 18% vs last wk
Active users
2,840↑ 12% vs last wk
Success rate
94.1%↑ 2.3 pts vs last wk
Order conversion
70%↓ 4% vs last wk

Top intents

by calls
  • 1submit_order4,120
  • 2track_shipment3,380
  • 3reorder_previous2,540
  • 4create_draft_order1,810

Top harnesses

by calls
  • 1Claude6,240
  • 2ChatGPT4,910
  • 3Perplexity2,030

Calls

last 7 days
MTWTFSS

The gateway is in the path today. The insights dashboard and funnel connectors are rolling out to early-access customers, opt-in. Numbers shown are illustrative.

Is this you?

BookedByAI is for teams shipping a product their customers will reach through AI. It’s not for everyone, and we’d rather be clear about it.

  • You run a real product your customers transact with: orders, bookings, accounts, support.
  • Your customers are starting to reach for AI assistants to get things done, and you want your product to be there.
  • You don’t want a months-long engineering project that breaks every time your product changes.
  • You want to decide exactly what AI is allowed to do on your behalf, and change it anytime.

Not yet a fit if there’s no codebase or API to read. BookedByAI works from your code, so there has to be code to work from.

Pricing isn’t set yet, and we won’t pretend it is.

BookedByAI is in early access. Rather than invent tiers, here’s the honest deal.

  • Free while we build with the first teams.
  • The waitlist gets first access, and a say in pricing before anything is charged.
  • No card, no commitment to join.

Frequently asked

The short answers. Book a demo for the long ones.

Make your product agent-ready.

Join the waitlist for BookedByAI.

Built by the BookedByAI team.