Olivia extracts the DNA of every winning ad, predicts fatigue 14 days before performance drops, and generates new variants tuned to each platform.
A winning creative peaks, then decays. CPA drifts up 5 percent per week. By the time anyone notices, $10K to $20K is already burned on a dying ad.
Proper testing means 10 to 15 variants per cycle. Most brands ship three or four per month because that is all the creative team can absorb.
Ad number 47 outperformed. Was it the hook, the color palette, the UGC format, the opener? Without the why, the next brief is another guess.
Two-week brief turnaround means the refresh lands after the fatigue hits. Performance recovers a month after the slope started bending down.
Each capability maps to a specific job: read the DNA, predict the decay, generate the next variant, tune per platform, and stay aware of the rest of the workforce.
Every ad in the library decomposed into 30+ measurable signals: hook, opener, format, color, length, pacing, CTA pattern.
Example. 47 winning ads reduced to 6 reusable hook archetypes
Decay patterns surfaced 14 days before performance drops, not three weeks after CPA already crept up.
Example. Hook_v4 fatigue flagged 14 days before CPA shifted
New briefs generated from the DNA of current top performers. Keep what works, recombine what compounds, drop what fatigues.
Example. 12 ranked variant briefs from the top 5 performers
What wins on TikTok is not what wins on Meta. Olivia keeps separate DNA per platform and tunes briefs to placement.
Example. UGC outperforms studio 2.4x on TikTok, 1.3x on Meta
Briefs Sam's scenarios with creative cost, alerts Felix when the creative mix shifts demand, leans on Maya for brand context.
Example. Refresh shipped at 9 AM, Felix re-forecast within 4 minutes
One workweek, hour by hour. Specific numbers vary by account.
Ingests every active and recently retired creative across Meta and TikTok. Decomposes each into 30+ signals and updates the DNA index.
Scores the live library against decay curves. Hook_v4 trending toward fatigue in 14 days; carousel-3 stable for another 3 weeks.
Generates 12 ranked variant briefs from the top 5 performers. UGC-led for TikTok, product-first for Meta retargeting.
Posts the refresh brief to the creative team in Slack with side-by-side DNA breakdown and example frames.
Sam asks how the new variants price into a +25 percent TikTok shift. Olivia hands creative quality scores; Felix prices the outcome.
New variants go live. Olivia logs launch DNA, opens decay tracking, and pings Felix to re-baseline the forecast.
Weekly creative recap to Slack and Slides. Three fatigue calls, one refresh shipped, two variants outperforming the prior winner.
Olivia runs on a purpose-built creative stack: DNA extraction across the library, per-variant decay curves, and shared memory across the workforce.
Meta and TikTok creative libraries plus performance data. Every active and retired asset is decomposed and indexed by DNA.
Library and performance feeds, refreshed nightly
Slack for fatigue alerts and refresh briefs. Slides for the weekly creative recap with DNA breakdowns and ranked variants.
Refresh briefs delivered the day fatigue is flagged
Sam runs scenarios that price in creative quality. Maya holds brand voice and CAC ceilings so generated briefs stay on-tone.
Shared memory, not message-passing
Creative DNA extraction across 30+ signals. Per-variant fatigue curves trained on launch-to-retirement performance, not account averages.
DNA index plus per-variant decay models
Ready when you are
The pilot connects your accounts to all seven agents. Olivia's first DNA pass on your top performers finishes in under fifteen minutes.
Looking for something specific? Sam tests scenarios →, Maya holds context → or Felix forecasts trends →.
