This is an example of an agent you can build in Sylvie: a product marketing writer that turns a changelog line, a PRD or a demo recording into the full announcement set, release note, in-app message, customer email, blog post, social copy and the version sales can use. It runs on your brand brain (positioning, who each plan is for, the naming you have standardized across docs and UI, past launches and the requests support keeps logging), so the update reads as a customer benefit rather than an engineering summary. You build it inside Sylvie on your own brand brain, nothing here arrives pre-built.
Sylvie does not ship this agent pre-built. It is an example of an agent your team can build with Sylvie, powered by your brand brain, so it runs your workflow the way you actually run it.
The Product Feature Update agent is an example of what a product marketing team, or an agency running comms for a software client, can build on its brand brain in Sylvie. Point it at the ticket, the release notes or a five minute demo, and it returns the whole package: what shipped in plain language, who it is for, the problem it removes, how to turn it on, which plans include it, and that same story sized for a release note, an in-app tooltip, an email, a blog post, a LinkedIn post and a line reps can send.
Feature announcements fail in a predictable way. Engineering writes them, so they describe the mechanism instead of the outcome. They land two weeks late because nobody owned the copy. And they use a name that does not match what the docs, the pricing page and the sales deck call the same thing. An agent holding the brand's positioning, plan structure and product vocabulary fixes all three at once, on release day rather than at the end of the next sprint.
The agent reads that product's brain first: the positioning and value proposition, the segments and the job each one is hiring the product for, how features map to plans and pricing, the naming conventions used across docs, UI and website, the objections and feature requests sitting in sales and support notes, and how previous launches were announced and received. That is where it learns this release answers a complaint customers have been making for a year, which is the angle nobody wrote in the ticket.
Then it drafts every asset inside Sylvie in a single pass, consistent across channels, with plan gating stated correctly, terminology matching the docs, screenshots or demo timestamps referenced, and anything it could not verify flagged for a human. You review, adjust and ship from the same place, and the finished announcement goes back into the brain, so the changelog roundup, the quarterly recap and the next release all start from an accurate record of what changed.
Copy gets drafted from the ticket while the feature is still in staging, so shipping and announcing stop being two separate projects two weeks apart.
The agent reframes what engineering built into the problem it removes for a specific customer, so the update reads like something worth trying instead of a maintenance note.
Release note, in-app message, email, blog and social all come from the same brief, so a customer who meets the update in three places gets one coherent message.
Because the brain holds how features map to tiers, the announcement says exactly who gets it and who needs to upgrade, which heads off the support wave a vague launch email creates.
Feature names and terms come from the vocabulary already in the brain, so the email, the UI, the help center and the sales deck all call the same thing by the same name.
Every announcement stays in the brain, so quarterly recaps, roadmap updates and the next hire inherit an accurate record instead of scrolling back through old Slack threads.
Product marketing is mostly a translation job, run against a release calendar that never slows down. Here are moments where teams point this agent at their brand brain and turn a shipped feature into an announcement that moves adoption.
A feature goes live and the only record is a one line changelog entry. The agent drafts the release note, the in-app message and the customer email from the ticket and the brand brain, so the update reaches customers that week instead of surfacing months later in a review as something they never knew existed.
Twelve minor features shipped and none of them justified an email on its own. The agent groups them by the customer problem they solve and writes one quarterly roundup that makes the pace of development visible, giving CS and sales something concrete to bring into renewal conversations.
A long-requested capability finally ships and reps need to reopen every deal it was blocking. The agent writes the customer announcement plus the sales version (what changed, which objection it answers, who to call first), so pipeline gets worked within days rather than after the next all-hands.
An update alters how something already works, and the wrong wording generates a support queue. The agent writes it carefully from the brain: what changes, when, who is affected and what to do, consistent with the docs and in the brand's voice, so the migration lands with an informed customer base instead of surprised tickets.
A feature leaves beta and now needs pricing, plan gating and a proper launch story. The agent turns the earlier beta messaging into a GA announcement with tier detail correct across email, blog, in-app and site copy, so nothing contradicts the pricing page on launch morning.
One product marketing lead supports four software clients, each with its own release cadence and vocabulary. The agent works from each client's own brain, so every announcement uses that product's naming, plans and positioning, and a small team keeps four launch calendars moving without the copy becoming interchangeable.
It writes from what you hand it plus what is in the brain: the ticket or PRD, a demo recording or screenshots, together with the positioning, plan structure and vocabulary already stored. That is usually more context than whoever writes the announcement today has. Anything it cannot verify comes back flagged rather than invented.
A chatbot improves the sentence you paste in. It does not know which plans include the feature, what customers have been asking for, what the docs call it or how you announced the last five releases. This agent reads all of that from your brand brain, which is why you get a real announcement instead of a nicer paragraph.
No. The agent meets the artifacts you already produce, tickets, PRDs, release notes and demo recordings, and turns them into customer-facing copy. Engineering keeps writing for engineers, and marketing stops rewriting everything from scratch the week after the release.
You do, without writing code. Connect your sources, approve what the agent may read from the brand brain, and tell Sylvie which assets each release should produce and who approves them. It is usually an afternoon. This page is an example of an agent teams build for themselves, not a ready-made product we ship.
That is the point of running it on a brand brain. Plan gating, feature names and terminology come from the same approved source your pricing page and help center are built on, so the launch email never promises something to a tier that does not have it.
Yes, and that is often where the gap is widest. Each client gets its own permission-aware brain holding their roadmap, positioning and plan structure, kept separate from every other account. You build the workflow once and point it at the client you are working in, every draft stays in your review before anything goes out, and nothing trains a foundation model.
Book a demo and we will map the workflows worth turning into agents, and show how each one runs on your brand brain.
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