Tell The Machines What To Do

This is called prompt engineering. In an agency environment, prompt engineering is a structured, iterative process used to generate high-quality creative assets, copy variations, strategic insights and code using AI tools. Research and strategy are essential prerequisites to effective prompt engineering because they define the boundaries, tone, and intent that AI outputs must operate within. A clear understanding of the brand’s audience, positioning, competitive landscape, and messaging hierarchy are essential.

The prompt engineer then translates those insights into a structured framework that establishes the narrative rules AI should follow. With a solid strategy in place, prompts become precise instruments rather than broad instructions, enabling consistent, on-brand outputs at scale. Done this way, prompt engineering is not a starting point but a multiplier of well-defined thinking.

We like to test many prompt variations across different Large Language Models (LLMs), adjusting tone, constraints, or examples to produce name options, logos, headlines and visual concepts that align with client objectives. This process is collaborative, with strategists, copywriters, and designers refining prompts based on feedback, performance data, and creative direction to ensure outputs are both on-brand and effective.

Evaluate the output and Adjust

Evaluating outputs and continuously adjusting prompts is essential because even well-designed prompts can produce inconsistent or biased results depending on context, data patterns, or model interpretation.

Artificial intelligence is often cast in extremes: it’s either an omniscient, mystical force or a civilization-ending threat. Reality is a lot less dramatic. What is critical, as with any tool, is to know what it is good at. Sure you can pound a screw in with a hammer, but the results are vastly more elegant if you use a screwdriver.

What AI is awesome for:

AI is great for baseline checks. AI can quickly compare messaging, SEO, and surface-level design patterns against competitors, which is useful for seeing how generic or similar things look on paper. It can help spot clichés, overused phrases, or obvious gaps in content. AI is ideal for stress‑testing work (e.g., “What competitors does this resemble?” “What’s missing from this value prop?”), but final judgment should stay with your leadership, customers, and market data.

Curate the results

The selection, organization, and presentation of AI-generated results require a high level of creative judgment and brand fluency because AI systems generate outputs based on patterns in data, not true understanding, judgment, or accountability.

Specialists provide the contextual knowledge needed to interpret results, verify accuracy, and recognize when AI outputs are incomplete, biased, or incorrect. They guide the selection of appropriate inputs and ensure that the results align with real-world requirements and ethical standards. In this way, the role of the expert is not replaced by AI but elevated: specialists act as supervisors, validators, and decision-makers who combine AI’s speed and scale with human reasoning, domain knowledge, and responsibility to produce reliable and meaningful outcomes.

What AI is NOT very good at:

AI is NOT good at differentiation. Standing out requires context that AI doesn’t have. Differentiation usually comes from insight, not from pattern-matching the existing field; AI is literally designed to reproduce patterns. AI does NOT know your real internal priorities, risk tolerance, culture, or how your actual buyers talk behind closed doors, so it tends to pull you toward the average of what’s already out there. AI is NOT a creative director. We use AI as a second opinion. Otherwise you risk ‘optimizing’ your brand back toward sameness because AI rewards what looks most typical in the data it has seen.

Test On Humans

AI-generated content is efficient and scalable, but it reflects patterns from existing data rather than true audience nuance. Without human validation, AI deliverables risk sounding generic, missing cultural context, or failing to connect authentically with real humans.

Focus groups (even informal ones) provide direct, human insight and surface emotional reactions, perceptions, and language that audiences naturally use. Insights that are essential for shaping messaging, positioning, and creative strategy. They act as a reality check, ensuring that AI outputs align with real-world expectations, emotional tone, and brand voice and serve as a bridge between machine-generated efficiency and human-centered relevance. They allow creatives to identify blind spots, and validate whether messaging truly lands as intended and are essential when evaluating, calibrating, and improving the effectiveness of AI-driven strategy and design.

Refine the deliverables

Branding is all about articulating what it is that makes you different and better than your competitors. We encourage you to use AI as tool to review our work, but understand that AI is not an oracle, it will tend to push you toward whatever looks most common in your space, which is the opposite of our goal.

Because we are speaking to humans, we must refine the deliverables to bring a level of taste, intuition, and contextual awareness that AI cannot replicate. While AI can generate options quickly, it defaults to patterns that feel familiar or generic. Human experts recognize these patterns and push beyond them, shaping work that reflects your true identity and distinctiveness. They understand nuance; how color, typography, tone, and imagery work together to communicate a brand’s personality and can refine AI-generated concepts to ensure they feel intentional, original, and aligned with what makes you stand out in a crowded market.

Equally important is the human ability to connect strategy with storytelling. Specialists bring deep knowledge of your competitive advantages and translate them into compelling visual and verbal expressions that resonate with human audiences. It is critical to emphasize the right differentiators to ensure those strengths come through consistently across every touchpoint. By applying critical judgment, cultural awareness, and creative vision, humans transform AI outputs from raw material into meaningful brand expressions that not only look polished but help your organization stand out from it’s competitors.