Most ad-generation tools start with a form. Pick a template, upload a product photo, choose an aspect ratio, select a preset, fill in three more fields before anything renders. That works fine when you already have a product catalog set up and know exactly which format you need.
It falls apart the moment you don't. A solo marketer testing an idea before building out the catalog. An agency account manager who just got off a client call and has one sentence of direction, not a brief. Someone who wants to see a concept before deciding whether it's worth the setup work at all.
The setup tax nobody accounts for
A 2026 SSRN paper on small-business marketing costs found that 65% of small and medium businesses chronically struggle with budget and time constraints for marketing, and that AI adoption has cut content production time by 80% for early adopters where it's been applied well. That gap between "AI exists" and "AI actually saves time" usually comes down to setup friction: connecting a catalog, picking the right preset, filling in fields the tool needs before it will generate anything.
HubSpot's 2026 State of Marketing report puts a number on how far AI has already spread through the workflow itself: 80% of marketers now use AI for content creation and 75% for media production. The tools are everywhere. The bottleneck has shifted from "do we have AI" to "how much setup does this specific AI need before it does anything useful."
What Ad Studio's Agent mode actually skips
Coinis Ad Studio's Image Agent and Video Agent are a different entry point into the same generation pipeline that powers Ad Studio's preset tools, built for exactly the no-catalog-yet moment. Instead of resolving a product ID and walking a preset/format matrix, the agent takes a plain-language brief, classifies it, drafts a single ad, and pauses for approval before rendering the final version.
The practical difference: every other Ad Studio generation path (the ones that build hero-shot image sets, cinematic product videos, or UGC-style clips) needs a product already resolved in the workspace catalog first. The agent path doesn't. You can point it at a product URL and it scrapes the photo gallery itself, or you can describe the product and brand in the brief directly. Either way, there's no template matrix to navigate before the first draft exists.
Illustrative still of the brief's subject, generated via Coinis's marketplace pipeline (Seedream 5.0 Lite) to show the product described in the brief below. This is not the Video Agent's own output. The Agent's actual video render for this brief is queued for a future session once Phase 5a's full storyboard-generate-judge loop runs.
Brief used for the worked example above, written exactly as a marketer would type it, no structured fields:
A ceramic pour-over coffee dripper, warm terracotta glaze, sold direct-to-consumer for home brewers who want cafe-quality pour-over without buying a machine. Make a 9:16 video ad that opens on the empty dripper on a kitchen counter, shows the pour and bloom up close, and ends on the finished cup with steam rising. Warm, unhurried, morning-routine feel. No on-screen text beyond a short closing line.
That's the entire input. No productId, no preset name, no aspect-ratio picker beyond what's written into the sentence itself. The agent resolves the rest: it reads the brief, builds the shot list implied by it, and hands back one draft to approve before the final render locks in.
Why the approval pause matters more than it looks
A single-shot generator that commits to its first guess is a gamble every time. The Agent's draft-then-approve step exists because a brief this loose has more than one reasonable interpretation, and catching a wrong read at the draft stage costs nothing compared to catching it after a full render. If the draft leans too polished-studio when the brief wanted something rawer, or centers the wrong part of the product, that's the moment to say so, not after the final video is already rendered.
This is also where the brief itself does the most work. A vague one-line brief gets a vague draft. The stronger pattern, once you've used it a few times, is to write the brief the way you'd brief a photographer: the physical detail of the product, who it's for, the specific beat you want the ad to hit (not just "make it good"), and the tone in a phrase or two. The agent doesn't need structured fields, but it still needs enough concrete detail to have something to commit to.
Where this fits next to Coinis's other generation tools
The Agent isn't a replacement for Ad Studio's preset tools, it's the on-ramp before them. A brand that's still deciding on a concept can run three or four Agent briefs in the time it would take to set up one product catalog entry, see which direction actually works, and then move the winning concept into the full preset pipeline once there's a real campaign to scale. One product photo can then get fanned out across every ad size once the format is locked, or pushed into a cinematic preset for a more produced look. For a brand that already has assets and wants to test the exact structure of a proven ad format instead, that's a different Ad Studio path entirely, not the Agent's lane.
It also sits next to two existing generation paths that use a product URL, building a Google ad straight from a product page or an existing how-to on generating ad creatives from a product URL. Those paths are template-driven once the URL resolves. The Agent's brief-first approach is the version for when you don't have a URL yet either, just an idea and a sentence to describe it.
Building this into how you actually work
- Use the Agent for the "is this concept even worth building out" question. Before setting up a full product catalog entry, write one brief and see the draft. If the concept doesn't hold up at the draft stage, you've spent one sentence finding that out, not an afternoon.
- Write the brief like a shot instruction, not a wish. Name the physical product detail, the audience, the specific beat (opening image, the turn, the close), and the tone. A one-line brief with no concrete detail gets a generic draft back.
- Treat the draft-approval pause as the actual editing step. Don't skip past it to get to the final render faster. Correcting direction at the draft stage is the entire point of the two-stage flow.
- Graduate a winning concept into the preset pipeline once it's proven. The Agent is fast to iterate on. The preset tools (image templates, cinematic, UGC) are built for scaling a locked concept across formats and volume once you know what's working.
FAQ
Do I need a product already set up in Coinis to use the Ad Studio Agent? No. That's the specific gap it fills. You can point it at a product URL and it scrapes the photo gallery itself, or describe the product directly in the brief. Every other Ad Studio generation path needs a resolved catalog product first. The Agent doesn't.
What happens after the Agent generates a draft? It pauses for approval before rendering the final version. This is the point to correct direction, tone, or framing, not after the polished render is done. Approving locks in the final render and saves an editable project.
Is the Agent the same thing as Ad Studio's preset tools like cinematic or UGC video? No. The preset tools work from a resolved product plus a chosen preset and format matrix, built for scaling a known concept. The Agent works from a free-text brief with no preset or product-ID requirement, built for testing a concept before that setup exists.
Does a vague one-sentence brief work as well as a detailed one? Not as well. The Agent needs concrete detail to commit to a strong first draft, the same way a photographer needs a real brief rather than "make it look good." A brief with the product's physical detail, the audience, and the specific beat the ad should hit produces a stronger draft than a generic one-liner.
Can the Agent output both an image and a video from the same brief? They're separate tools with separate outputs. The Image Agent produces one static image ad. The Video Agent produces one video ad. Each takes its own brief and runs its own draft-approve-render flow.
Sources
- Peng, Tianlu, "The Minimum Cost of Marketing: Why Small Businesses Have Been Underserved, and How AI Changes the Equation," SSRN, March 2026. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6504001
- HubSpot, "The 2026 State of Marketing Report," 2026. https://www.hubspot.com/state-of-marketing
Isidora Matovic
Author
Social media enthusiast and a full time researcher. She takes digital presence very seriously and that is why you are always in touch in what is going on with us! Follow us for more posts like this.