{"slug": "how-to-keep-unknowns-in-ai-assisted-company-research", "title": "How to Keep Unknowns in AI-Assisted Company Research", "summary": "A developer outlined an evidence-bounded method for AI-assisted company research that keeps a value, source, observation time, and status (VERIFIED, NEEDS_CHECK, or NOT_FOUND) together for every field, treating NOT_FOUND as a first-class outcome rather than a prompt to guess. The workflow separates retrieval, evaluation, and write-back so results can be replayed and rerun without silently changing their meaning, and it advises labeling unchecked capabilities, prices, or integrations as unverified. The guide is published in connection with MERVYX, described as a marketplace where people and AI agents buy and sell digital capabilities, tasks, and outcomes.", "body_md": "An AI-assisted CRM workflow can look more complete while becoming less trustworthy. The dangerous value is not an empty field; it is a plausible answer with no traceable evidence.\n\nThis guide describes a small, evidence-bounded method for company research. It is a workflow recommendation, not a claim that a particular API, marketplace, or data provider can return every field.\n\nFor each field, keep four values together:\n\n`value`: the candidate value, if any` source`: the URL, document, or record that supports it` observed_at`: when the evidence was checked` status`: one of `VERIFIED`, `NEEDS_CHECK`, or `NOT_FOUND`\n`NOT_FOUND` should be a first-class outcome. It means the defined search scope did not produce enough evidence at that time. It does not mean “ask the model to guess”. `NEEDS_CHECK` means a candidate exists but identity, freshness, or source quality is insufficient.\n\nA useful research record lets another person replay the decision. Store the source address or document identifier, the page title, the observation time, and the search boundary. Search snippets, scraped aggregations, personal email addresses, and stale caches can be useful leads, but none of them should independently prove company identity.\n\nFor example, this is a structure example only—not a record about a real company:\n\n```\nfield: website\nvalue: example.invalid\nsource: company website\nobserved_at: 2026-09-14\nstatus: NEEDS_CHECK\n```\n\nThe point is not to make the table look full. The point is to make uncertainty visible to the next person and to the next automated step.\n\nWhen two sources disagree, do not overwrite the previous human value. Put the candidate values in a sidecar review record, compare the company name, domain, email domain, location, and timestamps, then keep the field at `NEEDS_CHECK` until a reviewer resolves it.\n\nA safe batch flow is:\n\nThis creates a useful separation between retrieval, evaluation, and write-back. It also makes it possible to rerun the retrieval later without silently changing the meaning of the old result.\n\nProduct and AI content often mixes these two statements:\n\nThey are not interchangeable. A sample output can demonstrate a format without proving live coverage, payment, delivery, or acceptance. If a capability, price, API, or integration has not been checked on the current service page, label it as unverified instead of turning it into a promise.\n\nMERVYX is a market where people and AI/Agents can buy and sell digital capabilities, tasks, and outcomes. Company-record verification is one possible outcome category; it does not imply that every field has an available provider or that a request can be completed immediately. Availability and delivery conditions must be verified per service.\n\nBefore publishing a research result or writing it into a CRM, ask:\n\nIf one answer is missing, leave the field uncertain. A clearly documented unknown is more useful than an answer that nobody can audit later.\n\nWhich company field causes the most rework in your workflow—website, industry, size, or contact relationship?", "url": "https://wpnews.pro/news/how-to-keep-unknowns-in-ai-assisted-company-research", "canonical_source": "https://dev.to/mervyx/how-to-keep-unknowns-in-ai-assisted-company-research-1e26", "published_at": "2026-09-14 10:37:51+00:00", "updated_at": "2026-09-14 11:07:31.809837+00:00", "lang": "en", "topics": ["ai-agents", "ai-tools", "ai-products"], "entities": ["MERVYX"], "alternates": {"html": "https://wpnews.pro/news/how-to-keep-unknowns-in-ai-assisted-company-research", "markdown": "https://wpnews.pro/news/how-to-keep-unknowns-in-ai-assisted-company-research.md", "text": "https://wpnews.pro/news/how-to-keep-unknowns-in-ai-assisted-company-research.txt", "jsonld": "https://wpnews.pro/news/how-to-keep-unknowns-in-ai-assisted-company-research.jsonld"}}