Images are AI-generated illustrations, not documentary photographs or product screenshots.
Paid research service: choose a question a buyer can evaluate
A research service should answer a specific decision need, such as comparing supported software against agreed requirements. “Research anything quickly” gives neither side a useful quality standard. Clarify the audience, intended use and what falls outside the assignment. Avoid presenting yourself as a qualified legal, medical or investment adviser if you are not. A buyer should understand the kind of information you deliver and the professional judgment they still need to obtain elsewhere.
Set source and evidence rules
Agree on authoritative source types, relevant dates, geographical scope and any language limitations. Distinguish official product documentation from vendor marketing and independent commentary. Record what you checked and what was inaccessible. Do not treat every result in a search page as evidence of equal quality. Where a comparison relies on current pricing or availability, verify it directly at review time and say when the information was checked.
Use AI as assistance, not proof
AI can help organize a question or draft a structure, but factual output still needs verification. OpenAI’s hallucination discussion acknowledges plausible false statements even from capable models. Open cited sources and confirm that they support the claim. Recalculate important figures and preserve uncertainty. Never upload client-confidential material to an unapproved tool. Selling rapid research does not justify invented citations, untested product claims or a confident recommendation unsupported by the actual evidence.
Define the deliverable and review process
Specify the report format, depth, number of options and how recommendations are separated from facts. Include source links and an explanation of material gaps. A decision summary should lead to supporting evidence, not replace it. Write the Docs’ emphasis on purpose, examples and clear documentation is useful when making a report usable. Agree on one consolidated review route and clarify whether new questions constitute additional work or a correction.
Test the process with a labelled sample
Build a demonstration using a public, low-risk question and show the verification record. Label it as a sample, not a client project. Ask an appropriate reader whether they can trace the conclusion and identify its limitations. Estimate the full effort, including source checks, writing and revisions. A service that appears fast only because verification was skipped is not a sustainable quality offer. Do not invent customer testimonials to compensate for limited experience.
Price scope and keep records
Offer a bounded pilot with an agreed question and completion condition. Track time spent resolving uncertainty as well as composing the report. State whether future source updates are included; research can become stale after delivery. Use appropriate contracts and local professional advice where required. No income is guaranteed. Your credibility comes from transparent evidence and useful boundaries, not from promising that every question has an immediate definitive answer.
Sources and further reading
OpenAI: why language models hallucinate
Write the Docs: software documentation
U.S. Small Business Administration: planning and market research