A useful answer.
A clear next step.

Choose one repeated job with a clear input, finished output and a person who can check the result. Measure the current process, run a small test and include review time in the comparison.

Look for repetition, usable examples, accessible inputs and a checkable result. A defined owner and a clear purpose for the time recovered make the first project easier to evaluate.

Use recent work to record task frequency, total handling time and common corrections. Name the person who decides whether the new output is acceptable.

A department contains many different inputs, decisions and exceptions. Narrow the scope to one piece of work so you can define completion and test the result.

Start by mapping the work between your current tools. Whether an integration is useful depends on what those tools can connect to and what the workflow needs.

Compare quality and total work, including preparation, review and correction. Look for useful results across ordinary and awkward inputs before expanding the scope.

Hours freed create capacity. The business result depends on how that capacity is used, such as clearing a backlog, responding sooner or giving specialists time for higher-value work.

Name the person responsible for checking the output, handling exceptions and maintaining the instructions. Ownership should be clear before the workflow expands.

Pick a repeated task, collect good examples, prepare the next result with AI, write down corrections and test again with the new instructions.

Nick’s exercise starts with five completed examples of the task done properly. Use them to show what an acceptable result looks like before asking for the next output.

Record the input, manual time, assisted time, quality decision and the instruction that would prevent a repeated error. Include checking and correction in assisted time.

Turn the correction into a specific instruction and test again. If the error persists, inspect whether the input or definition of completion is still ambiguous.

A first test can prepare drafts for a person to review. It does not need to send messages or change customer records to establish whether the output is useful.

Narrow the task, improve the examples or clarify the instructions. Keep measuring total work rather than assuming a generated draft has saved time.

Include an ordinary input, an incomplete input and a case that should be left for a person. This tests the boundaries as well as the happy path.

Look for consistent quality across varied inputs, clear handling of exceptions and less total work. Retain a human check wherever the test still depends on judgment.

Give it the audience, original source material, examples of your voice, the purpose of the piece and explicit review criteria. Record the decisions you otherwise repeat in each prompt.

Nick describes direction, audience and voice files, accumulated content lessons and separate skills for writing scripts, reviewing them and creating captions.

The writer produces a draft from the brief. The reviewer checks defined requirements, such as whether the promised demonstration exists and whether factual claims have sources.

Keep the core idea and evidence consistent, then change the opening, detail and next action for each format and audience. A repurposing brief should retain the original source.

Supply examples of your existing work and explicit guidance about wording, tone and structure. Keep corrections in the relevant instructions so later drafts benefit from them.

Compare the draft with its original source, retain caveats and remove unsupported details. Check current technical instructions separately when tools have changed.

Run one complete piece through writing, review and publication first. Keep the edits and improve the instructions until useful quality is repeatable.

Name the original source, the intended audience, the one point the new piece should carry and the useful next action. Specify the format and level of detail.

Start by understanding a specific business problem and learning to deliver a small, testable solution. Finding clients, agreeing scope and completing work reliably are part of the job from the beginning.

Choose a repeated business problem you can understand and a deliverable you can demonstrate. A small, checkable service is easier to evaluate than a broad promise to automate a department.

Use clearly labelled sample data to show an input, prepared result and review step. Include an exception and explain the boundaries. Do not describe the demonstration as a deployed client system.

Define the problem, deliverable, required inputs, acceptance criteria, handoff and costs. Make clear what is included and which ongoing charges are separate.

Begin with a type of business you can speak with and work you can observe. Ask about the current process, delays and what a usable improvement would look like.

Speak with people who do or manage the job. Show a demonstration, ask what fits their process and record objections, scope changes and agreed next actions.

Explain the starting problem, what changed, the measured result and its limitations. Ask permission to document client work and distinguish demonstrations from deployed results.

The AI Accelerators registration page links to Nick’s training on offers, choosing a niche, finding clients, sales conversations and repeat business. The guide includes the original training link.