Browse practical applications across every starting point.
Build a Claude Project or custom GPT for your business from a one-page set of instructions.
A business-grounded AI workspace for recurring questions and tasks.
Generic chat knows nothing about your business. This is the foundation the rest builds on.
Know when to reach for reasoning, speed, or vision, and which assistant fits the task.
A practical model choice for the task in front of you.
The "which model for what" call, made simple. Kept current as the tools change.
Plain-English answers over your own exported reports and spreadsheets.
An evidence-grounded answer or analysis using your business data.
An analyst on demand, working from your numbers instead of generic advice.
Q&A over your uploaded SOPs, manuals, and warranties.
A searchable answer grounded in your operating knowledge.
Your answer, the way your business does it, not a generic one off the internet.
Drafts grounded in your past work and how you actually talk to customers.
A review-ready proposal or customer message in your business voice.
Context beats generic. Output that sounds like you, not a chatbot.
Think through pricing, capacity, and job-mix decisions with your data in hand.
A structured decision brief using your operating and financial data.
A bridge toward the wired, always-on version of the same work.
Answers, qualifies, and books (24/7).
A qualified booking or complete follow-up handoff.
Every call answered and turned into booked work, even after hours.
Instant text plus a booking link the moment a call is missed.
A timely response, qualification path, and booking option.
Missed calls stop being lost revenue.
Sub-minute reply that qualifies and routes the lead.
A qualified lead routed to the appropriate next action.
Speed-to-lead without anyone watching the inbox.
Full history and the next action the moment a known number calls.
A caller summary and recommended next action.
Every call answered like you remember the customer.
A line-item estimate built from the request and your price book.
A review-ready line-item estimate.
Quotes out the door in minutes, not days.
Turn site photos into a structured draft quote.
A structured draft estimate based on site documentation.
What the tech saw becomes a priced estimate without re-keying.
Approved quote becomes a job, deposit, schedule, and accounting entry.
A coordinated job, deposit, schedule, and accounting handoff.
One approval drives the whole chain, across scheduling, invoicing, and the books.
"Move Tuesday's north jobs to Wednesday and text everyone," done.
An updated schedule and customer communication plan.
Reschedule the day in a sentence, customers notified automatically.
The invoice fires the moment a job closes out.
A review-ready invoice triggered by job completion.
No lag between finishing the work and billing for it.
Catch every invoice or payment that didn't sync to accounting.
A list of missing or mismatched transactions requiring attention.
The gaps between your field software and your books stop slipping through.
A morning brief on the day's risks that also runs the routine follow-ups.
A prioritized operations brief with follow-up actions.
Start the day knowing what needs attention, with the busywork already handled.
Every system into one connected brain with an executive command center.
A connected operational view and decision interface.
One place to ask anything about the business and act on the answer.
An agent fleet continuously optimizing schedule, route, and crew across locations.
A continuously updated scheduling and routing plan.
The schedule tunes itself as conditions change, all day.
A branded customer portal or agent wired to your backend.
A branded customer experience grounded in account context.
Your customers get an experience that actually knows their account.
Start with shared business context and one main assistant. Turn repeated work into clear workflow playbooks, then add specialist agents only when the workflow and expected output are well defined.
Give one main assistant the business knowledge it needs, including your services, terminology, software, operating rules, and trusted information. Begin with simpler research, drafting, and decision-support tasks.
Capture the steps, inputs, tools, approvals, and checks around one recurring piece of work. This gives AI a dependable structure to follow without asking it to invent the process.
Once the workflow is understood, give a specialist agent a defined task, output, and handoff. Examples include reviewing a completed job, preparing an estimate summary, or drafting the next customer follow-up.
