Put AI to work on the tasks that fill your day: clearer communication, smoother team handoffs, and more useful weekly reviews. Practical skills you can adapt to your business, department, or team.
“Can you clean a two-bedroom apartment next Thursday? What would it cost?”
“Is this a standard or move-out clean? Once we have the details, our team can check availability and prepare a quote.”
Practical AI for everyday business. Illustrative course artwork.
You do not need another list of tools to investigate. You need a clear way to use one tool on a job that matters—and know when the answer is ready.
Practice drafting customer replies with approved facts, then apply the same briefing and review skills to everyday business communication.
Turn scattered notes into a handoff and a checklist someone else can follow.
Check a small set of numbers, review the result, and choose one improvement.
Try one of three business examples. Compare the inquiry with the approved facts and the draft reply. The same skill—giving AI context and checking its answer—applies across teams and industries.
Fictional examples. This demo does not send messages or call an AI service.
Use these with your approved AI assistant. Replace the bracketed text with your own context, start with non-sensitive information, and check the result before using it.
Include the task, audience, relevant facts, constraints, and desired format. Clear inputs make the result easier to evaluate.
Draft [output] for [audience]. Use these facts: [facts]. Keep within [constraints]. Return [format].
For unclear tasks, ask AI what it needs before drafting. Answer only with information you are allowed to share.
Before drafting, ask up to three questions that would materially improve the result. Do not guess missing facts.
Supply a short example you wrote so AI can match your preferred structure and tone. Remove private information first.
Use the tone and structure of this example: [example]. Write a new version using only these facts: [facts].
Change one thing at a time so you can see whether each revision improves the answer.
Revise this draft to be clearer and shorter. Preserve every factual detail. Put the requested next action first.
Ask for decisions, tasks, owners, and dates separately. Check the result against the original notes before sharing.
Extract decisions and actions from these notes. Return a table: action, owner, deadline, supporting note. Mark unstated owners or dates as not specified.
Specify what your reader needs to decide, not just how short the summary should be.
Using only this document, summarize: what changed, what needs a decision, key risks, and next steps. Cite the relevant passage for each point.
Ask AI to label uncertainty so you know where a human check is needed. A confident answer is not proof.
Separate this answer into supplied facts, assumptions, and items to verify. For each factual claim, identify its supporting source or say no source supplied.
Request several approaches with tradeoffs, then use your own constraints to choose.
Suggest three ways to handle [task]. Compare effort, dependencies, risks, and when each option fits. Do not invent cost or performance figures.
Convert a repeated task into a short checklist with a clear review step and a fallback.
Turn these approved instructions into a checklist. Include inputs, steps, completion checks, and when to ask a person for help. Flag gaps instead of filling them in.
Use AI to explain a formula, then test it in your spreadsheet with known inputs and an edge case.
Explain a spreadsheet formula for [calculation]. State assumptions and provide three test cases, including a blank or zero input. I will verify the results in my spreadsheet.
Use a second pass to find confusing language, missing context, and unsupported promises. It is an extra review, not independent verification.
Review this draft as its intended reader. List confusing wording, missing context, and claims that need evidence. Suggest edits without adding new facts.
Keep a reusable prompt with placeholders and a review checklist. Use approved tools and fictional or anonymized data while practicing.
Turn this successful task into a reusable template with placeholders for facts, audience, format, and constraints. Add a checklist for human review before use.
Sharpen your offer, prepare better conversations, and create useful marketing. Six practical exercises with copyable prompts and a seven-day experiment to help you find what works for your business.
AI helps you prepare and improve the work. Sales results depend on your offer, audience, execution, and follow-through.
Download the bonus workbook
Make it easy for a potential buyer to understand who you help, what they receive, and the next step.
Using these verified details about our offer [details] and customer [customer], write three versions of a clear offer statement. Include audience, problem, deliverable, and next action. Do not invent results, urgency, testimonials, or guarantees.
Put it to work: Choose one statement. Ask three suitable people what they think the offer includes. Record where they hesitate.
Use anonymized inquiries, objections, and customer feedback to identify useful themes.
Analyze these anonymized customer notes [notes]. Group recurring questions and objections. Quote the supporting note for each theme. Separate observed patterns from hypotheses; do not infer sensitive personal traits. Suggest one helpful piece of content for each theme.
Put it to work: Check the themes against the original notes. Choose the most frequent unanswered question for your next FAQ or post.
Use approved information to prepare questions that uncover whether your offer is a fit.
Our offer is [facts]. The prospect has shared [approved context]. Draft five discovery questions about their current process, priorities, constraints, and decision criteria. Label unknowns. Suggest a short agenda without assuming their budget or needs.
Put it to work: Use the questions as preparation, then listen. Capture what the buyer actually says and agree on a next step.
Turn a real conversation into a concise recap and one clear next action.
Draft a follow-up using only these meeting notes [notes]. Restate the buyer’s stated need, explain the relevant part of our offer [facts], and suggest the agreed next step. Keep it under 120 words. Do not invent commitments, deadlines, prices, or personal familiarity.
Put it to work: Confirm every detail, personalize the draft, and send only through your normal approved process. Track replies and qualified next steps.
Start with a real customer question and approved facts. Adapt the idea to each channel.
Using this customer question [question] and verified answer [answer], draft a short educational post, an email for opted-in subscribers, and an FAQ entry. Use our tone [example]. Give each one a relevant next action. Preserve facts and avoid unsupported claims.
Put it to work: Review and edit before publishing. Choose one channel where your audience already engages; measure qualified inquiries rather than just impressions.
Ask AI to identify unclear copy and propose a focused change. Test before treating a suggestion as an improvement.
Review this page copy [copy] for this audience [audience]. Identify confusing wording, missing decision information, and unsupported claims. Propose three headline and CTA alternatives using only our verified offer [facts]. Explain the hypothesis behind each.
Put it to work: Test one meaningful change at a time. Keep traffic source and offer comparable; record visits and conversions. Small samples provide early signals, not proof.
Start with one offer, one audience, and one channel. Track qualified inquiries, meetings, and purchases alongside your costs. Review every draft before publishing or sending.
Go beyond a prompt list. Work through realistic examples, check the result, and build a method your team can repeat.
Customer replies, meeting actions, field handoffs, checklists, weekly reviews, research, spreadsheets, coaching preparation, content, and workflow trials.
A drafting, review, and reuse prompt for every workflow, with fictional examples and human checks so you know what a usable result looks like.
A suggested implementation schedule, troubleshooting guide, knowledge check, reusable workflow card, and CSV tracker for time and quality.
Twelve guided labs, about 35 minutes each. Follow the suggested four-week rhythm or fit them around your business.
Choose the job. Give a clear brief. Check the answer.
Make communication easier to repeat.
Turn sources into something you can act on.
Make the routine usable on a busy day.
Every lesson gives you a short explainer, a realistic practice task, a prompt to use, and an example to check against.
Practice the task, check the result, and build a playbook you can return to.
A self-paced course for people who own a business, manage a department, or lead a team. Practice with concrete business examples, then adapt the method to your own work.
Bonus: AI for sales & marketingSix practical exercises, copyable prompts, and a seven-day experiment workbook.
12 original lesson explainersShort narrated videos, transcripts, and full written lessons.
12 guided practice labsCopyable prompts, fictional inputs, worked examples, and completion checks.
Editable working filesSource ledger, task scorecard, spreadsheet data, and measurement log.
Your business playbookThree tested routines with an owner, review checklist, and fallback.
This course brings FieldKit’s practical approach to owners, managers, and team leaders: start with a repeated task, give AI the right facts, and keep a clear review step. Use the method for communication, team coordination, reporting, and planning.
Use the course to make progress on your own. If you later need a business-specific review or implementation help, FieldKit offers those separately.
More about FieldKit →The course teaches everyday skills you can adapt across businesses and teams: briefing AI, checking drafts, documenting handoffs, reviewing information, and planning next steps. Practice examples include services, cafés, and retail; the method carries over to other settings. It is foundational training, rather than specialist guidance for regulated or technical decisions.
No. You need basic browser and document skills. The first lessons explain how to choose a task, give instructions, and check the result.
One AI assistant approved for the data you plan to use, a document editor, and a spreadsheet. The supplied text exercises do not require paid AI upgrades, though provider limits and features vary.
Enroll through Payhip for $197 one time. Follow the post-purchase instructions to access your course account. The lessons stream in your browser, with optional working-file downloads.
Yes. There are no scheduled classes. Plan for about seven hours of core practice, plus the short videos. Do one lab at a time or follow the suggested four-week rhythm.
No. It teaches you to draft, check, and document useful AI-assisted routines. It does not connect your systems or automate external actions. Custom implementation is a separate service.
You can complete every lab with fictional course data. Use real business records only when you have permission and appropriate tool settings and safeguards.
No. You will build and test practical routines. Results depend on your business, inputs, review, and use. The course includes a measurement log so you can check your own results.