How I Build that [Agent] - 7 Marketers Show AI Workflows That Save Hours

Despite social media hype, a survey of 1,000 marketers found that the majority have either not started building an AI agent or have tried and failed. This data indicates a significant gap between the perception of widespread AI adoption and the reality of implementation challenges for most marketing teams.

Create a personal AI agent that acts as a chief of staff by integrating with your email, Slack, calendar, and meeting transcripts. This agent can automatically analyze all incoming information and conversations to generate your daily priorities, saving significant time spent on manual review and planning each morning.

Replicate the 90s trend-spotting concept of "cool hunting" with an AI agent. Program it to scour niche sources like newsletters, podcasts, and social media for emerging brands that traditional B2B intelligence tools miss. This provides a first-mover advantage by identifying high-potential leads before they appear on competitors' radars.

Instead of a single monolithic prompt, create a series of chained AI skills that each perform a distinct editorial task. This modular approach allows for discrete checks against the brief, style guide, SEO rules, and brand voice, preventing the AI's directives from conflicting and creating a more thorough editing workflow.

Automate LinkedIn ad management with an agent that detects creative fatigue. The agent monitors performance over a set period, automatically flagging ads that show a consistent decline. This approach prevents wasting ad spend on underperforming creative and removes the manual guesswork from media buying and optimization.

To build effective AI agents for sales and marketing, first process unstructured data like sales call transcripts from tools like Fathom. By cleaning and structuring this raw data into an internal database, you create a reliable foundation for agents to accurately extract quotes, trends, and campaign insights.

Move beyond simple prompts like "act as a CMO." Instead, feed an AI agent a "brain" containing your actual customer research, positioning documents, and messaging strategy. This allows you to test new copy against more realistic and informed AI personas for faster, higher-quality feedback before going live.

Create truly personalized landing pages for thousands of target accounts using an AI agent. By pulling data from Salesforce, tech intelligence tools like BuiltWith, and even public job postings, the agent can build a unique, relevant page for each company, finally making one-to-one ABM scalable.

Combat newsletter overload by building an agent that scans your subscriptions, identifies key lessons relevant to your goals, and generates a daily summary. Use a text-to-speech tool to automatically turn this summary into a private, daily podcast, enabling you to learn efficiently while on the go.