Research public reviews of an existing app to identify complaints, missing features, and underserved users. Rank findings by evidence, then turn them into a practical improvement plan and positioning options supported by linked, verbatim quotes.
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Build the backend for an app modeled on an existing service, including login, database access rules, Stripe test payments, email, and integrations through official APIs. Track implementation and security checks in a dedicated checklist.
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Rebuild an app’s visual system as reusable design values and component specifications. It covers typography, spacing, component states, implementation, and contrast checks while replacing the original app’s branded assets with independent alternatives.
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Compare a recreated app with its reference using weighted feature coverage, screenshot layout differences that ignore color, and workflow reviews. Generate a report showing missing functionality, release readiness, and the next five implementation priorities.
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Develop an app’s own identity through name candidates, a distinct color palette, a logo brief, and writing guidance. Track name screening checks and scan project files for leftover names, domains, and colors from the original app.
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Turn research about an existing app into a technical plan for a new implementation. Choose technologies, define database tables and access rules, map API routes, and order development around a small, complete core workflow.
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Map an existing app’s screens, user journeys, reusable interface parts, and likely data structure using public sources and your own account. Produce a research document and prioritized feature table to guide development of your own version.
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Implement an app screen by screen from research and design documents, starting with its core workflow. Write fresh code and interface text, cover loading and error states, and track progress with a feature matrix and screenshots.
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Turn documented app journeys into a test plan covering normal use, edge cases, and failures. Run automated browser tests where possible, check remaining steps manually, and record reproduced bugs with severity, evidence, and fix status.
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Prepare a landing page, pricing proposal, app store copy, and launch plan for an app built from an existing concept. Use documented improvements and brand guidance, then check store text for length limits and prohibited references.
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Prepare and publish an app built from an existing reference, covering release checks, production services, domain and email records, payments, sign-in, monitoring, and mobile distribution. It records results and requires user approval before going live.
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Triage the LinkedIn inbox - sort connection requests and DMs into leads, recruiters, peers and spam, and draft the replies worth sending. Use when the user says "my inbox is a mess", "triage my DMs", "should I reply to this", pastes a batch of LinkedIn messages, or is drowning in connection requests.
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Post-mortem on what the user has already published - which posts actually worked, why, and what to stop doing. Use when the user pastes their LinkedIn analytics or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to double down on.
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Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Use when the user says "optimize my profile", "score my LinkedIn", "rewrite my headline", "fix my about section", or pastes their profile and asks how it reads.
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Handle the replies under the user's own LinkedIn posts - draft answers to every comment, sorted by which ones are worth answering. Use when the user pastes the comments on their post, says "reply to these", "handle my comments", "someone said X on my post", or is dealing with a critic or a lead in the comments.
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Write a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hook options, one full draft, and a copy-ready block that is never published without an explicit yes.
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Build the week on LinkedIn - what to post, when to post it, and who to engage with. Use when the user says "plan my week", "what should I post", "content calendar", "I have nothing to post about", or wants a posting schedule and an engagement list.
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Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.
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Turn one long asset - a YouTube video, podcast, newsletter, blog post, transcript or client call - into a week of LinkedIn posts. Use when the user says "repurpose this", "turn this into posts", "I have a video/newsletter/ transcript", or pastes a long piece of content and wants it on LinkedIn.
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Write connection notes and DM follow-ups that get replies - the 200-character invite, the first message, and the two follow-ups. Use when the user says "write a connection request", "DM this person", "outreach message", "how do I follow up", or is reaching out to someone specific on LinkedIn.
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Strip the machine fingerprint out of any draft - em dashes, AI slop words, invisible watermark characters - and score it against a five-check detection panel before it goes out. Use whenever text needs to sound human, when the user says humanize, "does this sound like AI", "remove the em dashes", "de-slop this", "will this get flagged", or before any LinkedIn post, comment, reply or DM is shown to the user.
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Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload. Use when the user says "carousel", "document post", "slides for LinkedIn", "turn this into a carousel", or has a list-shaped idea that would die as a text post.
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Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making. Use when the user pastes their Instagram insights or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to do more of.
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Write the day's Instagram Stories - the frame-by-frame sequence, which stickers to use where, and the one that moves people into the DMs. Use when the user says "stories", "what do I post on my story", "story sequence", "poll idea", "I have nothing to story about", or wants to sell something without making a post about it.
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