When DIY AI Content Makes Sense (And When It Doesn't)

Most advice in this space has an angle. Here's an attempt at a straight answer, including the parts that don't favour hiring anyone.

DIY genuinely makes sense when:

• —You have one to three SKUs and no immediate plan to expand the range
• —You're pre-revenue or very early revenue, and cash is a tighter constraint than time
• —You're comfortable with a slower content cadence — a handful of new images a month is enough
• —You or someone on the team already has a design or photography background, so the learning curve is shorter
• —You're still finding your visual identity and want the hands-on iteration before locking anything in

It stops making sense when:

• —SKU count or content cadence has grown to the point where creative production is a recurring weekly job, not an occasional task
• —Consistency across a catalogue matters more than any single image looking good
• —The time spent producing content is visibly displacing higher-value founder work — sales, partnerships, product
• —Brand risk from an imperfect image (a QA miss, an off-brand output going live) has real downside — established brand, larger following, paid ad spend behind the creative
• —You've already spent meaningful time learning the DIY stack and are still not hitting the consistency or speed you need

Most brands move through both categories over time, and there's no fixed line — it's specific to your stage, your margins, and how much your time is worth doing something else. The honest version of this advice is: don't outsource earlier than you need to, and don't keep DIY-ing past the point where it's quietly costing you more than it's saving.

If you're not sure which side of that line you're on, happy to have an honest conversation about it — no pitch, just a straight read on your specific situation.