Tag: ai
All the articles with the tag "ai".
How should a marketing team decide what to buy and what to vibe code?
How marketing teams can decide what to buy and what to vibe code: choose a useful project, scope the work and check that you can judge and maintain the result.
Is your product in the danger zone?
Could customers build the part of your software they need? Assess the risk through technical difficulty and the expertise needed to keep it working.
How to Assess a New AI Model on Your Marketing Work
Practical AI model tests for B2B enterprise marketing teams: compare results, get more from your subscription and discover what new models can do.
Instructions Expire
Your business brief can stay the same while AI models change. Here's how to check whether the way you prompt them needs updating.
Brief Your Agent as You Would a BPO
Before giving work to an AI agent, imagine handing it to an outsourced team. Think through the context, instructions and checks they would need.
Teaching Someone To Use The App Is Not Teaching Them To Shop
AI makes it easier for managers to finish work themselves. They still need to help juniors develop both the skills of the job and the ability to use AI.
You Can’t Learn AI the Way You Learn Software
Learning AI means getting better at applying it to your work. Marketing teams build that ability through projects, practice and shared experience.
Humans Buy The Package. Agents Need The Proof.
Keep the website you've designed for people, and make the product details and evidence explicit for agents researching on a buyer's behalf.
Start Where Failure Is Loud
Marketing teams start AI with content generation, and the rollout quietly dies because nobody can see it failing. The fix is aimed at management: do content quickly, then pick a project where failure is loud.
What Breaks When Marketing Gets Unblocked
Marketing's production ceiling was set by somebody else's capacity. AI is removing it, and the work nobody had to be good at is segmentation, reporting and retirement.