Editorial policy

Useful examples.
Honest boundaries.

Our resources should help you inspect a workflow, not mistake an illustrative document for a professionally approved deliverable.

Authorship and AI assistance

OpenLintel is accountable for the resources it publishes. AI assistance is used in drafting and example creation. AI-generated imagery is labeled, and fictional projects and teaching figures are identified as illustrative.

AI assistance is not evidence of expertise. We do not invent author biographies, credentials, reviewer endorsements, or customer results.

AI-assisted editorial checks

Where a resource shows an AI-assisted editorial check, the AI model named on that page (OpenAI Codex or Claude) has checked that specific revision for clarity, worked-example consistency, units, unresolved information, and the fit of cited references. The dated record is maintained with the source and download hashes; changed content requires a new check.

This automated editorial assessment is separate from independent professional review. It does not establish engineering, legal or regulatory adequacy, successful use in every editor, or suitability for a real project. We retain known limitations and do not turn the check into a practitioner endorsement.

Professional review status

Unless a page identifies a named reviewer and describes the work reviewed, do not assume independent professional review has taken place. Resources without such a credit remain educational material without independent professional review, including those with an AI-assisted editorial check.

Future reviewer credits will identify the person’s relevant experience, the resource and revision reviewed, the date, and the limits of the review. Reviewing an article will not certify project-specific output.

Evidence and examples

Guides distinguish general explanations from site-specific judgments. Sources support the claims beside them; links are not endorsements. Examples keep assumptions, unresolved information, units, and review requirements visible.

Prices and quantities in worked examples are teaching figures, not quotations or current market estimates. Local rules and project requirements need appropriately qualified assessment.

Corrections and meaningful updates

Report a resource problem through rahul@quickintell.com. Include the page or filename and the issue, but no client information. A substantive correction should update the visible revision date and related downloads together.

Dates represent actual editorial revisions, not automated freshness claims. A page will not acquire a reviewer credit or case-study label without supporting evidence.

How to use the library

Adapt each editable template to your own project and practice. Record its owner and revision, resolve missing information, and obtain the professional and client reviews appropriate to the task.

These resources are not legal contracts, engineering guidance, code-compliance determinations, or construction instructions.