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Review an AI-Written Product Comparison Without Inventing Features

A comparison table can look authoritative because every cell is filled. Empty cells are often more honest when the evidence is incomplete. Build the table from inspected sources and keep your judgement separate from the product facts. Choose criteria before collecting claims Write down the reader's task and three relevant criteria, such as supported input types, export requirements and account restrictions. Avoid a long feature list that has no connection to the reader's decision. Use the same definition for every candidate. For a fictional pair of note-taking tools, one source might confirm PDF export while another says only “Export your notes.” The second statement does not establish PDF support. Mark the specific format as unverified until the vendor documents it or an authorised test confirms it. Attach evidence to each cell Record the source URL, the wording that supports the claim and the date you checked it. Specify edition or platform restrictions. If a trial exposes on...

Give AI Feedback on One Failure Instead of Rewriting the Whole Prompt

When an assistant produces the wrong result, adding several new instructions at once can make the next attempt harder to understand. Identify one observable failure and revise the instruction that governs it. Keep a record of the original output. Describe the failure concretely Replace “The answer is bad” with “The table omitted two tasks whose status field was blank.” This identifies the affected records and the behaviour you expected. Before blaming the assistant, confirm that your instructions explained how blanks should be handled. In a fictional task list, define blank status as Unknown rather than Complete. Add that rule to the prompt and ask for the same extraction again. Avoid changing the format and the scoring rules in the same attempt, because you would no longer know which change helped. Retain a small regression set Keep one ordinary record, one blank field and one unusual value as test inputs. Write the expected output for each. After a revision, check all three; fixing t...

Keep AI Translation Review Focused on Names, Numbers and Meaning

A translation can read smoothly while changing a date, a product name or the force of an instruction. Review those elements separately from style. For consequential material, use an appropriately qualified reviewer rather than treating this checklist as sufficient assurance. Prepare a protected-term list List names, identifiers, URLs, dates and numbers that must remain exact. Add terms that have an agreed translation in your organisation. Keep the list short enough to inspect manually, and explain whether each item should remain unchanged or use a specified translation. For a fictional public notice, protect “Room B-12,” “18 October,” and a sample registration reference. Ask the assistant to flag unclear wording rather than guess what a missing abbreviation means. Do not submit real confidential material just to test the workflow. Review factual anchors first Compare each protected item with the original. Check decimal separators, units and date order where they appear. Read instructio...

Make an AI Meeting Summary Preserve Decisions and Open Questions

A meeting summary becomes misleading when a suggestion is rewritten as a decision. Give the assistant explicit categories and test the result against the original notes. Use authorised material, and start with a fictional example before sharing a real transcript. Define the categories Decisions are actions the participants actually agreed to. Suggestions are proposals that were raised. Open questions still need an answer. Tasks require a stated owner, and deadlines should be recorded only when the notes supply them. Try this fictional excerpt: “Maya suggested a Friday launch. The group agreed to test the form first. Leo will test it. No launch date was chosen.” A faithful summary records Leo's testing task and leaves the launch date unresolved. It must not assign Friday as the deadline. Ask for evidence beside the summary Request a table with Category, Summary, Owner, Deadline and Supporting phrase. Require “Not stated” for missing fields. The supporting phrase makes it easier to t...

Use Synthetic Examples Before Giving an AI Tool a Real Spreadsheet

When an assistant needs to understand a spreadsheet problem, it often needs the structure rather than the real people or transactions. A synthetic sample lets you explain that structure using invented records. Treat it as a working example, not as a guarantee that every privacy concern has been removed. Identify what the task actually needs If you need a formula for counting incomplete tasks, the useful fields may be Task ID, Status and Due date. Names, contact details, free-text notes and financial amounts may be irrelevant. Describe the intended calculation before choosing any rows to share. Create a new sample with fictional identifiers such as TASK-001 and TASK-002. Include the same column names and data types as the original. Replacing only a person's name while retaining distinctive notes or exact dates can leave unnecessary identifying detail in the example. Reproduce the difficult cases Include a blank status, an unexpected status, a missing date and a duplicated identifier...

Turn a Long AI Prompt Into a Clear Task Contract

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AI-generated illustration. A long prompt can still leave the most important instruction unclear. A task contract is a short statement of the input, the permitted transformation, the required output and the checks that define completion. Use it when repeated revisions keep drifting from your goal. Name the transformation Compare “Improve this” with “Rewrite this public event announcement in plain English while preserving the date, venue and registration link.” The second instruction tells the assistant what may change and what must survive. Add the intended reader and a practical length limit if they matter. For a fictional notice, list the facts separately: Saturday, 10:00, West Hall, registration required. Supply the actual notice below a clear input marker. Do not include real personal information merely to make the example feel realistic. Specify the output shape Ask for a headline, a two-paragraph announcement and a short checklist of preserved facts. If a fact is missing from the ...

Compare AI Assistants With a Rubric Before Picking a Winner

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AI-generated illustration. A single impressive reply is a weak basis for choosing an assistant for recurring work. First decide what a usable answer must contain. Then compare outputs against the same rubric, using tasks that resemble your actual workload. Define a small evaluation set Choose three different tasks: a reference-based summary, a rewrite with firm constraints, and a structured extraction. Use fictional or public material that you are authorised to share. Include one awkward case, such as a missing field, rather than testing only clean examples. For a fictional meeting note, ask every assistant to extract decisions, owners and dates, marking absent values as unknown. Provide identical instructions and inputs. Record product settings you can observe, the date, and whether browsing or other tools were enabled. Score observable outcomes A simple rubric can award one point each for complete required fields, faithful use of the source, correct handling of unknowns, and usable f...