Start with AI and the business information you already have.
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.
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.