This is an example of an agent you can build with Sylvie: give it a task your audience is trying to complete and it drafts the whole instructional post, prerequisites, numbered steps, where a screenshot belongs, the common mistakes and a closing FAQ. It runs on your brand brain, so the steps match how the product behaves today, the wording matches your real UI labels, and the explanation sounds like the way your team teaches. Sylvie does not hand you this agent finished; your team builds it, and the brain is what makes it accurate.
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 Instructional Post agent is an example of what a marketing team can build on Sylvie: a writer for the teaching half of your content plan, the how-tos, tutorials, setup guides and process walkthroughs that reach a reader mid-task. It is not a general writing assistant you re-brief every time. It is an agent your team configures once and points at the one brand brain that holds the product facts, the screen names, the support answers and your house way of explaining things.
Instructional content is where generic AI fails most visibly and most expensively. A wrong menu name, an obsolete step or a feature that changed two releases ago turns a helpful post into a support ticket and a credibility hit for the brand. An agent built on your brand brain writes only from what is documented and approved, so the steps hold up when someone follows them with the product open in the next tab.
Before it writes, the agent reads the brand brain for what this task really involves: current product documentation and release notes, UI labels and naming conventions, the support threads and objections that cluster around this workflow, plus the guides you have already published so it neither repeats nor contradicts one. Because the brain is permission-aware, it draws only on what that brand has cleared, and nothing crosses over from another client's account.
Then it runs the whole piece inside Sylvie: it states the prerequisites, sequences the steps in the order a real user hits them, marks where a screenshot or short clip belongs, adds the errors people actually run into and how to get out of them, and closes with the questions readers ask afterwards. Each step is cited back to its source in the brain, so a product owner can verify it in one click, and every correction you make returns to the brain so the next guide starts more accurate.
Every instruction traces back to documented product behavior in the brain rather than a model's best guess, so a reader can follow the post from top to bottom and actually finish the task.
A correct guide absorbs the questions your support or account team would otherwise answer one at a time. Publish it once and watch the same ticket stop arriving.
Whether a writer, a product manager or an account executive briefs the piece, the explanations land at the same reading level and follow the same structure your readers have learned to expect.
When a feature ships or a screen gets renamed, you update the brain, not a hundred prompts, and the next guide reflects the change. Your library stops quietly drifting out of date.
Clean prerequisites, numbered steps and a genuine FAQ are exactly the shape assistants quote, so your walkthrough is what surfaces when someone asks how to do the thing.
A writer who has never opened the tool can ship a correct guide, because the product knowledge lives in the brand brain instead of in one senior person's head.
A few of the teaching jobs a team builds this agent to handle, each one drafted against the product truth held in the brand brain instead of a plausible guess. The outcome repeats: a guide that still works when someone follows it.
A new feature ships Thursday and the how-to has to be live the same day. The agent drafts the full walkthrough from the release notes and product facts already in the brain, so the guide goes out with the release instead of two weeks behind it, and the launch email finally has something real to link to.
New users stall in week one because nobody ever wrote the setup path down. The agent turns each setup milestone into its own guide in a couple of days, so customer success has a link for every stuck moment and stops rewriting the same explanation by email.
A client's help center holds sixty articles written by five people over three years and half of them are stale. The agent rewrites them against the current product truth in the brain, in one consistent voice, so a project the client had shelved for a year is finished inside a sprint.
Your audience searches how-to queries all month and a competitor owns every one of them. The agent drafts a guide per query on the brand brain, so the team publishes a dozen genuinely useful posts in a month and starts taking those terms with content the support team is happy to stand behind.
Your agency runs a proprietary process that every new hire learns by shadowing someone senior. The agent turns those steps into documented walkthroughs, cutting ramp for a new account manager from months of shadowing to a week of reading, and giving new business something concrete to show prospects.
Partners keep asking how to connect your product to theirs and each answer gets typed from scratch in an email. The agent produces a guide per integration from the docs in the brain, so a partnerships lead ships eight of them in an afternoon and never re-explains the same connection steps again.
A chatbot writes plausible steps from general internet knowledge and will confidently name a button that does not exist in your product. This is an agent you build on your own brand brain, so it writes from your current documentation, your UI labels and the answers your support team has already given. The accuracy comes from the brain, not from finding a better prompt.
You build it. Sylvie does not ship an Instructional Post agent in a box; this page is an example of what a team assembles on the platform. Sylvie helps you wire it to your brand brain and shape it to your formats and reading level, so what you end up with matches how your team actually teaches.
Because the product knowledge lives in the brain: documentation, release notes, screen names, past guides, support threads and whatever else your team has loaded. The agent reads that before writing and cites each step back to its source, so anyone reviewing can see exactly where an instruction came from.
You update the brain once and the next guide the agent writes uses the new reality. You can also point the same agent at your existing library to flag the posts that no longer match and rewrite them, which is usually the first thing teams do after they build it.
Yes, and that is a build decision rather than a setting we picked for you. Teams aim the same agent at help center articles, in-app guidance, onboarding email sequences, tutorial video scripts or a one-page quickstart. You define the structure, the length, the reader's level and the rules it must never break.
Each brand brain is isolated and permission-aware, so an agent working for one client reaches only what that client is cleared to use, and people see only what they are meant to see. Your guides are written from that brand's product truth alone, and your knowledge is never pooled into a shared 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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