1. Identity, competence and opportunities
Use your real professional identity and accurate experience. Claim only qualifications, permissions and licences you hold. A generated profile does not approve you for every assignment. Accept only work you can competently perform with the available access and time.
NamedProof generates topic and rate estimates from available evidence; you cannot purchase a higher score. You decide whether to publish your eligible profile and whether to accept an offered assignment. An estimated rate or availability setting does not guarantee paid work or create employment. Your actual working relationship and mandatory rights are determined by the facts and applicable law.
2. Before you start
Review the named sponsor, scope, deliverables, professional fee, currency, delivery period, cancellation terms and written payment method/timing. Declare relevant conflicts before accepting and tell us if they change. Start only after confirmed funding and the agreed access are available.
Check the payment method, timing, fee and cancellation arrangements in your accepted assignment before starting work. Submitting an assessment does not itself trigger a bank payment. Fees are for the agreed work and cannot depend on a positive verdict or the company's publication choice.
3. Original human authorship
The named expert must personally write the commissioned assessment, including private work. Base it on your own investigation, tests, observations and sources you checked. Keep supporting notes so factual questions can be examined.
Do not submit AI-generated or AI-rewritten assessment prose, use a ghostwriter, recycle another review, invent tests or citations, or sign an assessment you did not produce. Non-generative spelling, grammar-error identification and formatting tools are allowed only when they do not generate prose, evidence or judgment.
AI-assisted public-profile research is a separate NamedProof process; it does not relax this authorship rule. We may request relevant working notes and discuss the method. An AI-detector score alone is not proof of a breach. Never put confidential assignment material into an external AI tool without a separately authorized processing arrangement.
4. Evidence and reporting
Distinguish vendor claims, direct observations, corroborating sources and contradicting sources. State what was tested, when, with which access and version where known. Mark assumptions, uncertainty and missing information rather than filling gaps with guesses.
Explain both strengths and weaknesses that matter to the agreed question. Correct demonstrated factual errors; do not change an honest conclusion because a sponsor dislikes it. A test is not proof of every untested feature. Do not present an unlicensed opinion as regulated professional advice.
5. Access and confidentiality
Use company material only for the assignment and give access only to authorized participants. Do not reuse private briefs, screenshots, customer data or findings for your portfolio or another customer. Follow agreed security and deletion instructions, subject to necessary lawful recordkeeping.
Report unauthorized access, exposed credentials, serious security issues and conflicts promptly. Stop testing if it goes beyond the authorized scope; do not exploit a vulnerability or access unrelated data.
6. Publication and accountability
Do not publish before the company approves the complete record. For approved public assignments, publish the signed assessment or agreed complete public record on your own site or public social account with a clear sponsorship/payment disclosure and the NamedProof record link. Retain it for at least 24 months from publication on NamedProof, subject to legal, privacy and justified-removal exceptions.
Report corrections, moved URLs and removals. Do not conceal limitations in promotional excerpts or imply your name guarantees a product. Authorship, conflict or evidence concerns may lead to review, correction, suspension or remedies under the assignment; you can respond to the concern and challenge a factual mistake.