Screen your Facebook comments automatically and report to your team

AI reads every new Facebook comment, flags toxic or spammy ones, and sends your team a clean summary in Slack and Telegram.

How the work actually flows

It branches. Exactly one path is taken; runs once per new facebook comments.

Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances without Synchronization (12)

flowchart TD trig(["regular schedule checks new comments"]):::trigtime s0["fetch new facebook comments"]:::task s1[["ai reads each comment for tone"]]:::mi s2[("log flagged comments")]:::store s3["send summary report"]:::svc trig --> s0 s0 -->|"one per new facebook comments"| s1 s2 --> s3 gx{"× is comment toxic or spam"}:::gate s1 --> gx p00["flag and log"]:::task gx -->|"risky comment"| p00 p10["clean comment"]:::task gx -->|"clean comment"| p10 jn{"○ before summary report"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"moderation report delivered regularly"/]:::out pay{{"toxic comments caught before damage"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Social Media ManagementMessaging & NotificationsSpreadsheet & Database OpsReporting & Analytics
Connects
FacebookOpenAISupabaseSlackTelegram

The problem it solves

You cannot read every comment on your Facebook Page, so abusive or spammy comments sit there for hours before anyone notices. Your team has to scroll through threads manually to catch problems, which eats into time you could spend on real customer questions. A toxic comment left unaddressed can damage how your page looks to new visitors.

Who it fits

A brand or community team managing a busy Facebook Page.

How it works

  1. The system checks for new Facebook Page comments on a regular schedule
  2. AI reads each comment for tone, toxicity, and spam
  3. Risky comments are flagged and logged in a database
  4. A summary report is sent to Slack and Telegram
What you get

Toxic comments caught before they spread

Every new Facebook comment gets checked for tone and spam automatically, and your team receives a clear summary of anything that needs attention.

What you get

A recurring moderation report showing which comments need attention, plus a full log of past comments.

What you need

A Facebook Page, an OpenAI API key, a Supabase database, and Slack and Telegram accounts.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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