Creative Agent Context Stack
Layer business context, expert guidance, and examples into creative agents
- Difficulty
- Moderate
- Time to result
- ~weeks to results
- Steps
- 6
- Confidence
- 94%
A general creative agent produces generic work because it lacks knowledge of the business, audience, channel, and desired aesthetic. Build a context stack around it instead of relying on one clever prompt. Start with persistent facts about the company, products, customers, brand, and campaign objectives. Add concrete examples of outputs that should and should not be imitated. Then compile authoritative, model-specific prompting guidance into an onboarding document and instruct the agent to consult it whenever it uses that image or video model. At request time, provide the campaign-specific audience, placement, mood, dialogue, and visual requirements. This combination gives the agent both durable subject-matter expertise and immediate creative direction, improving consistency while preserving automation.
Origin
Extracted from Marketing Against the Grain during Nate Hurk and the hosts' discussion of improving a general N8N image-and-video agent.
Core principles
- 01Output quality depends on both model capability and supplied context
- 02Persistent business knowledge belongs in the agent's instructions and references
- 03Good and bad examples clarify subjective creative standards
- 04External expertise can be compiled into reusable onboarding documents
How to run it
- 1
Load the business context
Document the business, products, target customer, mission, vision, and brand attributes. Make this information persistently available to the agent.
Pro tip Separate stable company knowledge from campaign-specific instructions.
Watch out A generic template cannot infer a brand strategy that it has never received.
- 2
Specify the campaign context
For each request, state the intended audience, advertising channel, desired mood, and business objective. Include exact dialogue, text, or calls to action when required.
Pro tip Explicitly state whether on-screen text is allowed.
Watch out Minimal instructions force the model to invent targeting and placement assumptions.
- 3
Compile expert guidance
Research authoritative instructions and examples for prompting the selected image or video model. Consolidate the useful material into a concise onboarding document.
Pro tip Prioritize official documentation and practitioners with demonstrated expertise.
Watch out Unfiltered scraped advice may contain conflicting or obsolete techniques.
- 4
Attach the reference material
Make the onboarding document available to the creative agent and instruct it to consult the document whenever it prepares prompts for that model.
Pro tip Use separate references for models with substantially different prompting conventions.
Watch out Uploading a document is insufficient if the agent is not told when to use it.
- 5
Calibrate with examples
Supply good and bad examples that demonstrate the brand's visual standards. Explain the relevant differences so the agent can apply them to new work.
Pro tip Use examples from real approved campaigns when available.
Watch out Examples without labels or rationale can reinforce the wrong characteristics.
- 6
Iterate against outputs
Review generated assets, identify missing context, and update the persistent instructions or references. Repeated corrections should become durable guidance rather than one-off prompt edits.
Pro tip Classify each failure as a model limitation, context gap, or prompt-structure problem.
Watch out Do not assume prompting can overcome every limitation of the underlying model.
In the wild
The episode first transforms a basic cologne photo into an upscale bar product image. The video request then specifies men in their forties and asks for a professional, minimal feel, producing a more directed result than the earlier low-context speaker demonstration.
→ Audience and aesthetic context give the generation process a clearer advertising direction.
A hypothetical marketing team compiles official documentation and respected practitioner advice about a video model into an onboarding document. Its agent references that document while combining the company's audience, visual identity, logo rules, and approved examples into each campaign prompt.
→ The team produces more consistent prompts without requiring every marketer to master the model independently.
Common mistakes
Expecting the agent to infer the campaign
Without audience, placement, or brand context, the model fills gaps with its own assumptions and may produce generic copy, unwanted text, or an unsuitable style.
Treating prompts as the only variable
Excellent prompting cannot fully compensate for an older or weaker generation model. Model capability and prompt quality must be assessed separately.
Providing context only once
Repeated corrections remain fragile when they are left in individual conversations instead of being incorporated into persistent instructions, examples, or references.
Is it for you?
Best for
It is best for marketers repeatedly generating branded images, videos, ads, or social content through an automated workflow.
Not ideal for
It is not ideal for isolated experiments where the user can supply complete context directly in a single prompt.
From the transcript
“the more context and more subject matter expertise that you give it related to you and how you want your creatives to turn out, the…”
“And you can also start to give it good examples, bad examples.”
“whenever you're prompting for VO3, reference your onboarding doc.”
From the episode
This Ai Agent Turns 1 Image Into A 30 Second Commercial