Real, working demo agents -- not mockups -- built to show what a custom Claude-powered agent could actually handle for your business. Click in, talk to one, see what it does with sample data.
Each one is a small, working preview of a real agent build -- the same kind of thing we deliver through Custom AI Agent Builds.
Logs income and expenses, tracks invoices, and compiles a P&L -- built and demoed against a fictional lawn care business, Heritage Lawn & Landscape. Talk to it directly: try "log a $95 fuel expense" or "mark an invoice paid" and watch the books update live. Connects to your accounting software (e.g. QuickBooks) -- keeps your existing books, doesn't replace them.
Try Ledger →Calendar-based, any time -- for businesses that book individual appointment slots, not just in response to a missed call. Checks availability, books, reschedules, and cancels appointments -- built and demoed against a fictional photography studio, Wren Ashby Photography. Try "what's open Thursday?" or "book a headshot session for Dana Thursday at 11am" and watch the calendar update live. Connects to the calendar you already use (e.g. Google Calendar) -- one source of truth, not a second calendar to check.
Try Slate →Reservations management, not a calendar -- only acts when a call is missed, checking open hourly capacity (like tables) rather than managing individual appointment slots. Auto-texts a customer back within seconds and books the table directly when there's an open slot -- suggesting nearby times if it's full, and logging anything else as a lead -- built and demoed against a fictional restaurant, Maple & Char. Try texting in as a customer, or ask "show today's leads" to see the owner's view. Replies in whatever language the customer texts in -- try it in Spanish. Connects to your business's own SMS-capable phone line -- bring the number you already use.
Try Relay →Sends review requests and drafts replies to incoming reviews -- built and demoed against a fictional SaaS startup, Flowlane. Every reply sits for owner approval before it's ever sent; try pasting in a review and see how Echo handles a critical one differently from a glowing one. Connects to the review platforms you're already on (e.g. Google, Yelp) and sends requests over email or text.
Try Echo →Classifies inbound email, routes it to the right queue, and drafts a reply -- built and demoed against Flowlane's shared support inbox. Spam gets auto-archived, billing issues get escalated to a person, and only routine replies get drafted for the queue. Connects directly to your business email inbox -- no separate inbox to check.
Try Sift →An internal tool, not customer-facing -- qualifies leads you relay to it, logs them into a pipeline, and flags follow-ups before one goes cold. Built and demoed against Heritage Lawn & Landscape. Works standalone out of the box -- no CRM required -- or syncs to one you already use.
Try Scout →We're adding a few more working demos here -- different roles, different use cases. Check back soon.
Six agents is a lot to pick cold. If your business looks like one of these, here's the pairing that tends to fit first -- you can always add more later.
Start with Relay -- missed calls during a dinner rush are lost reservations, and there's no calendar to manage, just open capacity by the hour. Modeled on our own Maple & Char demo.
Start with Scout + Ledger -- qualify leads before they go cold, and keep the books current without a weekly catch-up session. Modeled on our own Heritage Lawn & Landscape demo.
Start with Slate -- each booking is its own calendar slot, not shared hourly capacity, and customers reach out any time, not just after a missed call. Modeled on our own Wren Ashby Photography demo.
Start with Echo + Sift -- reputation and a shared support inbox are usually the first things that get behind. Modeled on our own Flowlane demo.
Most businesses don't know what an AI agent could actually take off their plate until they see one working on a real task. These demos are built to answer that -- each one is scoped to a specific job (bookkeeping, FAQ answering, document drafting) and uses realistic, made-up sample data so you can see exactly how it behaves without touching anything real.
Every one of these agents defers to a person for anything high-stakes or ambiguous -- Echo never sends a review reply without approval, Sift escalates billing issues instead of guessing. In a real deployment, that reporting reaches you by email by default -- drafts, flags, and approvals land straight in your inbox, no new app to check. If your team already runs on Slack, that reporting can be routed there instead through the Slack Bot.
These agents aren't English-only. Try Relay in Spanish -- type a message like "¿tienen mesa para 3 esta noche?" and watch it detect the language and reply in kind. That's a real, working second language path, not just a translated label; the rest of the library is being brought up to the same bar.
If one of these matches something you deal with -- receipts piling up, invoices to chase, questions your team answers the same way every day -- that's a good sign a custom build through Custom AI Agent Builds is worth a look.
Pick a prebuilt agent from $399, or a fully custom build from $1,499.