Power-Compliance-Practicality Scorecard
Choose an image AI by weighting capability, compliance, and workflow fit.
- Difficulty
- Easy
- Time to result
- ~days to results
- Steps
- 6
- Confidence
- 99%
The Power-Compliance-Practicality Scorecard evaluates image AI tools across three competing dimensions. Power measures output quality, creative range, and control. Compliance examines training-data boundaries, copyright posture, and the organization's tolerance for legal or policy risk. Practicality covers accessibility, interface maturity, integration with existing workflows, and the effort required to turn output into a deliverable. The episode positions Midjourney as strongest on power, Adobe Firefly as strongest on compliance, and Canva as the practical middle choice embedded in a familiar production workflow. The framework is not a permanent vendor ranking; it is a repeatable selection method. Teams identify their dominant constraint, score available tools, choose accordingly, and revisit the decision as capabilities, regulations, and integrations evolve.
Origin
Extracted from Marketing Against The Grain's comparison of Midjourney V5, Adobe Firefly, and Canva.
Core principles
- 01The most capable tool is not automatically the best operational choice.
- 02Training-data restrictions can trade output fidelity for compliance.
- 03Workflow integration creates value even when raw generation quality is lower.
- 04Match the tool to the job's dominant constraint.
How to run it
- 1
Define the Use Case
Specify the asset, audience, quality bar, production frequency, and acceptable turnaround time.
Pro tip Evaluate a real recurring task rather than a generic demo prompt.
Watch out A tool that wins a showcase may fail the team's everyday workflow.
- 2
Score Power
Test visual quality, prompt adherence, iteration controls, and suitability for the required style.
Pro tip Run the same task across all candidate tools.
Watch out Do not compare products with prompts or source-data conditions that unfairly favor one.
- 3
Score Compliance
Review training-data claims, licensing terms, output rights, and internal policy requirements.
Pro tip Escalate uncertain high-value use cases to qualified legal counsel.
Watch out A vendor's cautious training policy does not automatically resolve every output-rights question.
- 4
Score Practicality
Assess interface quality, team access, templates, integrations, export options, and production effort.
Pro tip Include the time required to finish an asset, not just generate it.
Watch out Powerful beta tools may impose workflow barriers such as Discord-only access or missing APIs.
- 5
Weight the Dominant Constraint
Prioritize the dimension that matters most for the current use case and select the highest-fit product.
Pro tip Allow different teams or asset classes to choose different tools.
Watch out A universal tool mandate can produce unnecessary risk or poor output.
- 6
Re-evaluate Regularly
Repeat the scorecard as products, policies, interfaces, and regulations evolve.
Pro tip Use a fixed benchmark set to make changes visible over time.
Watch out AI product rankings become stale quickly.
In the wild
A creative team needs fast, visually distinctive campaign concepts and will not publish the raw output. It weights power heavily, uses Midjourney for exploration, and routes selected concepts through human review.
→ The team gains stronger ideation while containing production and compliance risks.
A regulated company needs a visual for an external corporate report. It weights compliance and documented licensing above maximal stylistic quality and chooses the more constrained platform.
→ The selected workflow better matches the organization's legal and governance needs.
A small marketing team values templates, easy resizing, and an existing brand workflow. It chooses Canva despite another tool's superior raw image quality.
→ The team produces usable assets faster with less operational friction.
Common mistakes
Ranking Only by Image Quality
Raw visual quality ignores whether the output can be used safely and efficiently in production.
Treating Compliance as Binary
Training-data restrictions, output rights, jurisdiction, and use case create multiple layers of risk.
Freezing the Ranking
The products are evolving too quickly for a one-time evaluation to remain reliable.
Is it for you?
Best for
It is best for marketing teams comparing Midjourney, Adobe Firefly, Canva, or similar image-generation products.
Not ideal for
It is not ideal as a substitute for legal advice or detailed technical and security due diligence.
From the transcript
“I would say Midjourney is the most powerful. Adobe is the most compliant, and Canva is the most kind of Goldilocks in the middle.”
“Yeah, it's the most practical.”
“The thing you talked about, which is like train it on your brand guidelines and be able to produce templates for marketers you use. That's…”
From the episode
Midjourney V5 Update: Everything You Need To Know (#107)