Ari Ivogli
Founder, Orisu
How to choose AI models for marketing: the 2026 guide
New models ship every month and the leaderboards disagree. Here is the full framework for choosing image, video, and audio models for marketing work — and knowing when to switch.
On-brand AI
Machine-readable brand guidelines: making your brand legible to AI
Your brand guidelines' most frequent reader is now a machine. Here's what machine-readable brand guidelines are, why the PDF fails, and how to translate voice and visual rules into instructions AI can follow.
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.
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.
Playbooks
AI creative for agencies: keep every client on-brand
Agencies juggle many brands at once, and AI that drifts off-brand is a client-trust problem. A playbook for per-client brand kits and one reusable pipeline.
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.
On-brand AI
On-brand AI content: the complete guide
AI can generate anything except your brand, unless you build a system for it. The complete framework: codify, inject, repeat, review, measure.
On-brand AI
Why your AI content looks off-brand (and how to fix it)
AI output looks generic because models average the internet and prompts can't carry a brand system. Here's the diagnosis, and the fixes, cheapest first.