Multi-agent source security audit with a coverage ledger, independently verified findings, and machine-checked records. Use when asked to audit a codebase, find vulnerabilities, or run a source-level pen test.
Drafts comments on other people's LinkedIn posts that add a specific the post lacked, then gates them offline. Use when commenting on a post, engaging with a prospect or peer, or checking a comment before pasting it.
Builds a weekly or monthly LinkedIn publishing plan from content pillars, a posting cadence and a format mix, with a founder-oriented pillar set as an alternative to the general one. Use when planning a week, a month or a launch period of posts rather than…
Turns something made for another channel (a thread, a video or talk transcript, a blog post, a newsletter) into a post that reads as native to LinkedIn, without changing what the source says. Use when existing material should become a LinkedIn post rather…
Designs and runs an employee advocacy programme: who posts what and how often, review rules, and what is never scripted. Use when getting a team posting, writing an advocacy policy, or fixing a programme that has stalled.
Segments who reacted to and commented on a post from a CSV or JSON export, and says whether it reached the intended audience. Use when reviewing a post's engagers, checking audience fit, or building a baseline.
Extracts and classifies the opening-line pattern of LinkedIn posts the user pastes or saves, and turns each into a reusable slot template with cautions. Use when studying why an opening works, building a swipe file, or adapting a hook pattern without copying…
Audits and rewrites LinkedIn drafts to remove machine-sounding patterns: tiered tell catalogue, emoji-pattern scoring, rule explanations, and a voice fingerprint built from the author's own posts. Use when a draft reads generated, before publishing, or when…