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AI workflows

Building repeatable, multimodal AI content pipelines on a visual canvas.

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AI workflows

7 AI content workflows every marketing team should steal

Seven repeatable AI content workflows, from URL-to-ad-variants to one-click weekly drops, with the pipeline shape, who each is for, and how to build it.

Orisu Team9 min read
AI workflows

Meta, Google, and TikTok will generate your ads now. Should you let them?

Meta's Muse Image, TikTok Symphony, and Google's asset generation all make ad creative for you. Where platform AI helps, where it flattens your brand, and how to split the work.

Orisu Research5 min read
AI workflows

AI slop: what it is, and how marketing teams avoid it

'Slop' was Merriam-Webster's 2025 word of the year: low-quality AI content made in quantity. Here's why marketing teams produce it, what it costs, and the workflow that prevents it.

Ari Ivogli6 min read
AI workflows

Multimodal AI pipelines: image, video, text, and audio in one place

Real campaigns need scripts, voiceovers, video, captions, and thumbnails. What changes when all four content types share one pipeline, and when separate tools still win.

Orisu Team6 min read
AI workflows

Structured prompting for AI video: the format behind consistent clips

Vague prompts hand you a different video every run. Structured prompting — named components, formulas, and JSON — is how marketing teams make AI video output consistent and repeatable enough to ship.

Orisu Team5 min read
AI workflows

What is MCP? The Model Context Protocol, explained for marketing teams

MCP, the Model Context Protocol, is the open standard that lets AI assistants plug into your real tools and data. Here's what it means for marketing teams, and when to use it.

Orisu Team6 min read
AI workflows

AI content agents: what they actually do for marketing teams

AI content agents don't just generate one asset; they run multi-step content work on their own. Here's what they really do, where they help, and how to keep them on-brand.

Orisu Team6 min read
AI workflows

From prompt to pipeline: making AI content repeatable

Teams climb the same ladder: one-off prompts, saved prompts, prompt chains, visible pipelines. What breaks at each rung, and the three properties that make AI content actually repeatable.

Ari Ivogli6 min read
AI workflows

Image-to-video AI: the workflow that keeps your videos on-brand

Text-to-video reinvents your brand on every clip. Image-to-video anchors each generation to a reference image, so your characters and products stay consistent. Here is how it works and when to use it.

Orisu Team5 min read
AI workflows

Generative engine optimization: how to get your content cited by AI search

AI search engines answer questions instead of listing links. Here's what actually gets your content cited by ChatGPT, AI Overviews, and Perplexity, plus what Google says to skip.

Orisu Team5 min read
AI workflows

How to build an AI content workflow

Chat threads don't scale into production. Here is the full method for building an AI content workflow: define the recurring output, map the steps, add human review, and save it as a graph your team can rerun.

Ari Ivogli11 min read
AI workflows

What is a visual AI canvas? Nodes, edges, and runs explained

Nodes, edges, and runs: the three primitives behind every visual AI canvas, how it compares to chat and automation tools, and when a canvas is overkill.

Orisu Team6 min read