auto_awesomeWhat it can do

The unit of production. On Train you hand the platform one finished design that already cleared brand review, and it learns the style, the layout, and every fillable field from that file. Your workspace can only produce what it has trained: the platform never invents a look of its own, so everything it makes looks like something your team made.

What you actually run. Training a template automatically mints its Make Job, one marketing outcome with the design already decided. Alongside those, the platform ships Jobs that plan, research, and measure. Pick one, fill in a few details, and run it.

Underneath, a Job is a sequence of single operations: read the source, research the topic, draft the words, fill your template, file the result. You never run those one at a time. The Job runs them for you, in the right order. What it can do, further down, is the full inventory of the operations it has to work with.

Start a production run from a source on the ContentCanvas board, produce a single asset from the Produce page, or hand the work to AI Home. Everything produced is filed straight into ContentCanvas as real, editable content, with a record of what it was built from.

Nothing is generated in the abstract. Your brand rules, your buyer committee, your offerings, and everything Training has learned from your own work are injected into every step, and the finished asset is measured back against them by the brand check.

Compose a polished written document from a source.

Grow a one-paragraph idea into the finished piece.

Render selected clip segments into a finished video.

Recommend the right content to make from a source.

Compare your ContentCanvas library against what you have actually posted on LinkedIn, and get a gap analysis plus a ranked list of repurposes to publish next.

Set a monthly budget and average deal value and get a full-funnel B2B media mix model: AI proposes the channel mix and benchmark assumptions, the platform computes spend → leads → opportunities → sales → revenue → ROAS, and files it as an editable, exportable plan in ContentCanvas.

Point at a real LinkedIn profile and get a sharp, usable B2B buyer persona — their priorities, pains, how to reach them on LinkedIn, and the messaging that lands — grounded in that person’s actual role and background.

Pull latest news and messaging for a competitor

Point this at a target account's LinkedIn company page and get an ABM-ready enrichment: their public shape (size, industry, product motion), what their people are posting about, where the openings are, and 3 to 5 outreach angles tied to observed evidence.

Pull the quotes, stats, and key points from a source.

Turn one piece of source content into five social post ideas, each a hook, a one-line angle, the buyer persona it speaks to, and why it matters.

Get a ready-to-implement paid LinkedIn campaign plan: the recommended objective, a target audience built from real LinkedIn facets and your buyer personas, budget and schedule, the creative to run, tracking to set up, and the exact Campaign Manager steps.

Research any topic into briefed, build-ready notes.

Point this at a competitor's LinkedIn company page and get a briefing on what is working for them: their best-performing post formats, the hooks and angles that earn engagement, where the gaps are, and how to respond.

Point this at your own LinkedIn company page and get a ranked read of your best-performing posts: the hooks and angles earning engagement, the formats that landed, and what to double down on next.

Push a change set to a connected publishing app.

Push a change set to any connected publishing app the org has authorized (Composio).

Analyze metrics and surface what actually matters.

Pull performance metrics from a connected app.

Read a pasted, uploaded, or selected source into clean markdown the rest of a job builds from, keeping a reference back to where each part came from.

Research an objective across the open web and return one grounded, cited briefing. Never invents a claim.

Find the best existing content in your library for a topic, using meaning as well as keywords. Read-only.

Read a public LinkedIn company page and its recent posts, rank them by engagement, and file the result as a source.

Read a public LinkedIn person profile and file it as a source document, ready to build a persona from.

Compare what is in your ContentCanvas library against what you have actually posted on LinkedIn, and report the gaps plus ranked repurposing ideas.

Produce a ready-to-implement LinkedIn ad setup: objective, facet-based audience, budget, creative, tracking, and the Campaign Manager click-path.

Turn a video or audio clip into a transcript with a word-level, timecoded timeline.

Pull performance data from a connected ad account as structured, time-series records.

Mine a source for quotes, stats, testimonials, insights, and headline lines, each grounded in the source.

Given existing content and the buyer persona it targets, propose a ranked set of repurposing ideas, each with a detailed rationale and the Job that produces it.

Propose several content-idea briefs, pause for you to pick the ones worth keeping, and file those to the Planned backlog on Automations.

Turn performance data into a plain-language read plus ranked, actionable recommendations with a confidence on each.

Select the strongest contiguous segments of a transcript to keep, as an ordered edit list.

Inject the Brand Kit (voice, required and banned phrases, colors, fonts, logo) as a directive every AI step follows.

Inject the chosen buyer persona so the output speaks to that buyer's pains and language. Can fan a run out into one asset per persona.

Read one finished design into a reusable template: keep the artwork, lift off every word and mark, name each fillable field the way a designer would, and learn the style and layout. A ready template mints its own Make Job.

Fill a trained template with new words and images drawn from your material, at the template's exact geometry. Every production run ends here, so what comes out looks like what you trained.

The authoring engine for composed work: writes the finished, on-brand artifact a Job asks for, as a flowing document or a designed page.

Compose a titled, sectioned document from a source, grounded in it and steered by a brief.

Restructure a document into your house style without changing a single word. Built for legal, HR, and compliance text.

Turn raw numbers into one structured chart (bar, pie, table, or metric). Never invents figures.

Compute a full-funnel media mix model from a budget and an average deal value, filed as an editable plan.

Rebuild a flat image as a pixel-faithful, editable page with live text layers.

Rebuild a flat image as an editable spatial graphic you can drag and restyle.

Generate promo imagery from a scene description, optionally guided by one or more reference images.

Generate a short video clip from a supplied still image.

Synthesize a spoken-word voiceover from a script, in your organization's voice.

Generate a short, licensing-safe instrumental clip from a prompt.

Render a finished MP4 from an edit list, with an optional branded intro and outro.

Run a plain-language objective across your connected apps, discovering and calling the right tools across as many apps as the task needs.

Publish one filed asset to a connected LinkedIn company page, behind a go-live approval. Runs only in a workspace where publishing is switched on; everywhere else it is refused.

Upload an image creative into your LinkedIn Ads asset library after a go-live approval. Runs only where publishing and LinkedIn Ads are switched on.

Would push an approved set of campaign edits and creatives to a connected destination behind a human go-live approval. Its connected destination is not built yet.