The Anti-spam plugin by Webvitaly is one of the simplest comment-spam defenses in the WordPress directory: it inserts a JavaScript-only check into the comment form so submissions without working JavaScript get filtered as spam. There is no CAPTCHA, no challenge, and no visible feedback. Settings live in wp_options under webvitaly_antispam, and the plugin tracks aggregate counts but does not log per-comment reasons.

The trade-off is that legitimate commenters with strict NoScript configurations, certain accessibility tools, or aggressive privacy browsers can be filtered without realizing it. The page reloads, the comment is gone, and they have no idea why. SleekAI runs as a separate plugin and reads the comment policy, accessibility note, and contact information you have already published, giving those commenters a path back.

Display conditions scope the chatbot to the help center, the comment policy, and the contact page rather than the comment form itself. Every conversation logs originating page URL, model name, and token usage so the team can see whether silent drops are creating real friction. Anti-spam keeps doing the JavaScript check; SleekAI explains the policy and points at the email backup.

The Anti-spam plugin is popular because it is honest about the trade-off it makes: it catches the bulk of automated comment spam by requiring working JavaScript, and it accepts that a small share of legitimate commenters get caught alongside the bots. Teams that pick this plugin are usually allergic to reCAPTCHA's third-party flow and prefer a leaner, in-house heuristic. The downside is the same as every silent filter: a real commenter has no idea why their comment vanished, and the natural conclusion is that the site is broken or hostile.

A help-page chatbot makes the trade-off visible without weakening it. SleekAI is the right shape for this job because it reads the team's published policy rather than the plugin's internals. The bot describes the JavaScript check in plain language, points at the email path the team has already documented, and reassures script-blocking visitors that the team has thought about their case.

It never tries to bypass the filter or reveal implementation details. Over time, the conversation log shows how many legitimate commenters are affected. If the count is high, the team can rewrite the comment-form helper text to mention NoScript explicitly, link the email path more prominently, or layer in a different filter.

If the count is low, the silent filter quietly does its job and the chatbot quietly rescues the few real commenters who got caught.