Advertising isn’t just about catchy visuals or slogans. A creative strategist dives into user needs, competitor moves, and real-world feedback to find fresh angles that resonate. We’re building an AI agent to do exactly that—gather data, spark ideas, and prioritize what’s most likely to succeed.
The same product can be sold in countless ways. For example, when advertising a startup job opening, you might craft different messages for different engineering candidates. Think of each approach as a "cell," each appealing to a different persona or highlighting a different benefit. A good strategist—and our agent—knows how to create these variations and pick the winners. The table below shows how we might target different types of engineers with varying messages about the same startup role:
Persona | Angle | Hook |
---|---|---|
FAANG Eng | High Impact | "Stop fine-tuning features. Start changing the game." |
FAANG Eng | Low Bureaucracy | "No more meetings about meetings." |
Startup Eng | Post-Revenue Stability | "A startup that's actually making money." |
Startup Eng | Growth Potential | "Join early, grow fast, own real equity." |
Not every idea is a winner. Our agent uses fuzzy logic and multiple data sources to rank concepts:
By blending these signals—none of which is perfect on its own—the agent zeroes in on what will most likely succeed.