Introduction

In the world of digital product development, “work smarter/not harder” is no longer a cliché, it’s a competitive advantage. Agencies like ours live in a space where designers, developers, strategists, copywriters and project managers need to collaborate seamlessly while delivering exceptional work at speed.

When embedded thoughtfully into team workflows, AI becomes a multiplier, helping strategists think faster, designers explore deeper, engineers debug quicker and project managers orchestrate more efficiently. AI isn’t replacing human skill; it’s amplifying it. 

Below are five carefully selected AI tools we’ve tested across our own teams. Each one includes pros, cons and an honest score to help you find what fits your workflow and role.

1. Notion AI

Perfect for: Project Managers, Strategists, Ops Teams

Notion was already the go-to workspace for many product teams, now add AI and it becomes a versatile assistant for documentation, meeting notes and planning.

Pros

  • Automates the boring stuff: meeting summaries, action lists, project briefs.

  • Excellent at turning chaos into structured, readable content.

  • Lives where your work already happens.

Cons

  • Creative output can feel generic unless heavily refined by us humans.

  • Not ideal for complex research or deep ideation (better for synthesis than creation).

Score: 7/10

2. Midjourney

Perfect for: Designers, Creative Directors, Brand Teams

Midjourney has transformed concept exploration as we know it… We use it for moodboards, rapid prototyping and unlocking creative directions that would take hours manually.

Pros

  • High-quality, stylised imagery useful for pitches, concept decks and UI inspiration.

  • Excellent for exploring divergent creative ideas early in the process.

  • Helps non-designers express visual intent clearly.

Cons

  • “Beautiful guesswork” is not always aligned with constraints like accessibility or technical feasibility.

  • Requires practice to prompt effectively.

  • Not great for final production assets.

Score: 8/10

3. GitHub Copilot

Perfect for: Developers, Technical Architects

Copilot has become indispensable for software teams as it’s not just a helper, it’s a second pair of eyes constantly suggesting, improving and freeing up developers to think about architecture rather than syntax.

Pros

  • Speeds up repetitive coding tasks dramatically.

  • Great for boilerplate, documentation and quick prototyping.

  • Reduces cognitive load and context switching.

Cons

  • Can hallucinate code that “looks right but isn’t.”

  • Should never be used blindly as it requires a senior dev mindset to supervise.

Score: 8.5/10

4. Figma AI

Perfect for: UI/UX Designers, Product Designers

Figma has already changed how teams collaborate and with the introduction of AI, it elevates the workflow even further. Especially in the (messy) early stages of design.

Pros

  • Generates UI layouts, flows and variations instantly.

  • Excellent for exploring multiple design directions quickly.

  • Boosts collaboration between design and non-design team members.

Cons

  • Still early; sometimes outputs layouts that feel templatised. 

  • Not a replacement for user-centred design because human insight still drives the “why.”

Score: 9/10

5. ChatGPT (GPT-5 Series)

Perfect for: Everyone. Developers, Designers, Strategists, PMs, Copywriters

Fact: No AI tool has integrated into our daily work more than ChatGPT, because it touches every discipline:

  • Strategists use it for research and insights.

  • Copywriters use it to accelerate drafting and polishing.

  • Designers use it to generate UX heuristics, persona insights and user flows.

  • Developers use it to debug, optimise and document code.

  • PMs use it to write comms, simplify technical explanations and manage stakeholder alignment.

It’s the most flexible tool in the stack and that versatility is why it lands in the number-one spot.

Pros

  • Strong reasoning across domains: design, code, strategy, communication.

  • A powerful partner for thinking, not just doing.

  • Excellent at reducing friction across every role in a team.

Cons

  • Requires clear prompting to get the best results.

  • Output must be validated, especially research and technical content.

  • Can become a crutch if teams don’t maintain their own critical thinking.

Score: 9.5/10

Final Thoughts:
Choose the Tool That Matches Your Workflow

There’s no single “best” AI tool, only the one that pairs well with your discipline, your workflow and the nature of your projects.

The real power comes when these tools are used together, across a multidisciplinary team, creating a workflow where humans think at a higher level and AI handles the heavy lifting.

If you’re exploring AI adoption inside your organisation, start small, test intentionally and roll out tools in the areas where friction is highest. The productivity gains are real, but they’re maximised when paired with skilled people, not replaced by them.

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Platinum Seed is the product development partner you’ve been looking for to provide tangible growth and real impact to your business. Let’s talk.