The Digital Position AI Brain

1 · Quick recap

Creative strategy is the foundation of everything DP ships — and today the research behind it is fragmented across tools, manual scraping, and external contractors, rebuilt by hand for every brief. What we build together does three things:

• Speed — make the operation faster.
• Quality — unlock insights and new offers by working from one shared brain, as a team.
• Bonus upside — consolidate or replace tools, and potentially contractor spend, over time.

The bar: the Elizabeth Ross Flags kind of win (~$1M/yr → $1.3M in June on community-driven insight), repeatable on every account.

2 · The long-term picture

The long-term build is a DP AI Brain: one place where every brand's research, community and review data, your 15 ad-concept types, briefs, and performance learnings live — structured so AI workflows can read from it and write back to it. Research stops walking out the door with contractors; every brief makes the next one better. Strategists keep the creative judgment — they just start from a complete picture instead of rebuilding it each time.

3 · The roadmap — four buckets

The build lives inside your creative-strategy workflow:

We automate it in the order the data flows — capture first, because everything downstream is only as good as the data underneath it:

4 · The first demo — data capture + AI analytics

Pilot brand: HAIRtamin, plus its competitors. We capture what buyers are actually saying — objections, questions, and the language worth turning into ads, blogs, and landing pages — broken down by where the data lives:

And the AI analytics layer on top — every captured mention sentiment-tagged and categorized (product / CX / pricing / quality), broken down by theme, each insight linked to its source. Not raw dumps.

Source access (Reddit, Instagram, ad comments) is ours to crack — the demo starts with the sources we can reach reliably and expands source by source.

5 · Next steps after the demo

• Bucket 3 — strategy outputs: your playbooks and workflows wired to the Brain, producing briefs, personas, and angles in the formats you already use.
• AdNova — integrate vs replace: honestly, TBD. The capture layer covers what AdNova doesn't (comments, communities, reviews). Once the data layer is live we'll recommend whichever is true: connect to it, or cover it.
• Interface — start in Claude (our proposal). Fastest rollout: every client already has a Claude project, and strategists can prompt and iterate on the data directly. Long-term: Slack bot, Claude, or both — we'll bring a recommendation once the team has used v1, and decide it together.

6 · How we'd work & what we need