AI can sound confident while being incomplete, risky, or wrong. Send the output and what you plan to use it for; I return concrete findings, risk flags, prompt guidance, and a safer version before it reaches a customer, client, or decision.
What I audit
01
Customer-facing answers
Emails, support replies, chatbot responses, FAQs, and service explanations customers may read or act on.
Checked for
Unverified promises, unclear ownership, missing next steps, inaccurate claims, and wording that could frustrate customers.
02
Business documents
AI-assisted proposals, SOPs, summaries, reports, policies, landing page sections, and internal instructions.
Checked for
Weak reasoning, missing assumptions, unclear instructions, formatting issues, and claims that need a human source check.
03
Prompt + output pairs
You send the prompt, AI answer, and intended use. I check whether the answer actually satisfies the task.
Checked for
Instruction misses, weak constraints, missing context, and prompt changes that would produce a safer next draft.
04
AI product responses
Generated answers from chatbots, AI tools, onboarding flows, or support assistants before they reach users.
Checked for
Bad reasoning, overconfident answers, missing disclaimers, user confusion, and recurring response-quality patterns.
Audit categories
Looks for: facts, numbers, names, timelines, and assumptions. You get: claims to verify before use.
Looks for: unsupported certainty, invented details, and source gaps. You get: what should be removed, softened, or checked.
Looks for: whether the answer solves the actual task. You get: what is helpful, missing, or just filler.
Looks for: missing steps, context, owners, and next actions. You get: what to add before relying on it.
Looks for: audience fit, clarity, confidence level, and robotic phrasing. You get: wording changes that make it safer to send.
Looks for: overpromising, customer confusion, and compliance-adjacent flags. You get: a use/edit/do-not-use recommendation.
Report preview
Sample audit format · demonstration only
Do not send unchanged. Remove the unverified timeline, ask for the order identifier, and explain who will check status next.
How it works
01
Share the AI response, what it is for, and the prompt if available. Remove private details if the material is sensitive.
02
The report separates issues into concrete findings: unsupported claims, missing steps, tone problems, risk flags, and prompt fixes.
03
Each audit includes a trust score, prioritized fixes, prompt guidance, safer wording when useful, and a use/edit/do-not-use recommendation.
04
You know what to verify, what to change, and whether the output is ready for a customer, client, internal team, or public page.
Positioning: this is not an "AI detector." It is human quality control for AI-generated work before it becomes a business decision, customer message, or published asset.
Good first use cases
Need an output checked?
Start with one AI output and its intended use. I will send back a trust score, prioritized fixes, risk flags, and safer wording where needed.