Use workflow and agent builders to automate repeatable marketing tasks — from recurring research pipelines and lead enrichment to multi-channel campaign coordination and end-to-end operations across ads, SEO, email, and reporting.
Humans design the workflow logic, set guardrails, monitor outputs, and handle edge cases, quality control, strategy, positioning, budget, and quality standards; AI accelerates execution and reduces manual coordination work.
Automatically pull news, funding, hiring signals, and product updates for a list of target accounts and compile a weekly brief for outreach planning.
Zapier / OpenAIWhen a new lead is captured, enrich it with firmographic details and populate standardized fields in the CRM for routing and personalization.
Make (Integromat) / HubSpotTrigger a workflow that gathers SERP outlines and key sources, then drafts a content brief and saves it to your project tracker for editor review.
n8n / Airtable / OpenAIA workflow takes a campaign brief, generates channel-specific copy/creative tasks, and routes approvals and publishing steps across tools automatically.
Zapier / Make / ChatGPTA centralized workspace turns marketing requests into tracked tasks, drafts assets, and syncs status updates to the team in real time.
Notion AI / Airtable / SlackWhen a lead converts, automation enriches the contact, assigns a lifecycle stage, and triggers the correct nurture sequence and CRM tasks.
HubSpot / ClearbitEvery founder and marketer needs to set up AI workflows in 2026.
Not optional anymore.
The people who figure this out first are going to have an absurd advantage over everyone else.
I recorded a full walkthrough of the setup I use to run most of my marketing.
Ads, SEO, emails, community, thumbnails, dashboards. I'll show you how all of it works and how you can set it up yourself.
I test a new AI tool every week, and this month 10 earned a permanent spot in my workflow. I used to spend hours doing things manually until I started systematically experimenting. The tools I kept help me move faster across writing (voice-to-text for long emails, WhatsApp replies, and high-context prompts), meetings (invisible AI note-taking for sensitive client calls), research (source-grounded summarization and internal-doc audio overviews), automations (agent/workflow builders for recurring research and backend workflows), and content production (transcript-based video editing, AI voice generation/repairs for marketing voiceovers, and video generation models for cinematic clips).