AI for Creatives

Most creative teams underestimate how much control they have over what AI produces. This session hands that control back.

• We'll cover the foundations of diffusion models – how images are generated from prompts, and why the words you choose change everything.

• We'll introduce a structured image-prompt formula covering medium, subject, setting, lighting, composition and feeling – so your team can describe a visual with precision, not luck.

• You'll build AI-generated concept visuals for a specimen client brief in the room, using Ideogram and diffusion image models.

You'll leave with the ability to direct AI visuals as confidently as you'd brief a photographer – iterating quickly and concepting at a pace that simply wasn't possible before.

Language models aren't answer machines. Used well, they're the sharpest thinking partner your creative team has ever had.

• We'll cover the difference between diffusion models and language models – and why understanding both changes how you use each.

• We'll introduce Spark's CICI Prompting framework: how to brief an AI colleague using Character, Instructions, Criteria and Inputs.

• You'll build a custom AI agent for your own project – one that supports ideation, research and writing in the voice and context your work demands.

You'll leave knowing how to get genuinely useful creative output from language models, consistently – not just when you get lucky with a prompt.

The front end of a creative project is where the most time gets lost – and where AI creates the most headroom.

• We'll cover how to use AI personas to identify trends, profile audiences and generate creative routes faster than was previously possible.

• You'll build trend insights, audience profiles and campaign routes expressed as short creative manifestos.

You'll leave with a clear, repeatable process for using AI to compress the research and ideation phase – without compressing the quality of your thinking.

Individual AI experiments don't scale. Shared workflows do. This session is about turning what your team has learned into something the whole studio can reach for.

• We'll introduce node-based creative workflows in Weavy that combine text, image and video models in sequence.

• We'll cover how to build for reuse – so the workflow your team builds today is still saving them time six months from now.

• You'll build reusable workflows in Weavy for image generation, model comparison, video creation and moodboards.

You'll leave knowing how to systematise your creative process – so your team can scale their experimentation without scaling their effort.

The difference between average AI output and exceptional AI output is almost always structure. This session is about building that structure in.

• We'll cover system versus user prompts, prompt chaining, arrays and automation – and why each one matters.

• We'll explore how the right prompt architecture turns a single idea into a scalable creative engine.

• You'll build multi-prompt generators and automated moodboards in Weavy your team can run with immediately.

You'll leave with the ability to engineer prompts that produce consistently high-quality creative output – and to automate the repetitive parts of your process without touching the work that makes your output distinctive.

Great creative work deserves a great pitch. AI can make the way you sell your ideas as strong as the ideas themselves.

• We'll cover how to use AI to stress-test ideas against a brief before you're in the room – so you arrive with more conviction.

• We'll explore how AI helps you process client feedback faster, spot patterns and respond with greater clarity.

• You'll build pitch narratives and activation strategies using the AI agent your team created earlier in the day.

You'll leave with AI embedded in your pitch process – not just your creative process – and the confidence to use it with clients in the room.

The final session is about making sure everything your team has learned on the day follows them back to the studio.

• We'll consolidate the tools, workflows and frameworks built across the day into a clear picture of what your team now has.

• We'll explore what comes next – individually and as a team – and how to keep building from here.

• You'll identify your own priority next steps and the team-wide opportunities worth moving on first.

You'll leave with a clear view of how AI fits into your creative practice – and the momentum to act on it from day one.

The half-day build day is where the learning becomes operational. Your team brings live, in-progress work – real briefs, real deadlines, real creative challenges – and together, we learn to apply the tools, workflows and frameworks directly to that work. Spark AI facilitates, challenges and troubleshoots alongside your team.