In today's digital landscape, personalization is no longer a luxury—it's an expectation. But let's be honest: most "personalization" is skin-deep. An email that starts with Hello {{firstName}} and mentions your {{companyName}} isn't impressive; it's table stakes. Your customers see through it because it lacks genuine context and understanding.
True engagement comes from hyper-personalization: crafting messages and experiences that resonate on an individual level by understanding a user's role, interests, activities, and needs. This used to require a massive sales team doing hours of manual research. Today, it's possible at scale by integrating AI agents directly into your business workflows.
This is where you go beyond simple variable replacement and start generating truly bespoke content for emails, in-app messages, and sales outreach. Let's explore how you can achieve this with a code-first, AI-native approach.
Traditional automation platforms are great at connecting App A to App B. They excel at simple, linear tasks. But when you try to build sophisticated personalization logic, you hit a wall. The process becomes a brittle, unmanageable web of if/else conditions and branching paths.
This "Mad Libs" style of personalization is:
To create genuinely personal experiences, you need a system that can not only fetch data but also understand it, synthesize it, and use that understanding to create something entirely new.
Imagine having a team of specialized agents ready to spring into action the moment a new user signs up. That's the power of building AI-powered workflows. Within Workflows.do, you can define these agents as part of your core business logic, turning complex research and content creation into a simple, observable service.
This isn't just about calling a generic AI model. It's about orchestrating specialized agents to perform specific tasks:
So what does this look like in practice? With Workflows.do, you define this entire process as code. This gives you the power of version control, testing, and collaboration—essentials for building reliable business-critical systems.
Let's look at a workflow that triggers on a new user signup. It enriches their data, performs deep AI-powered research, and drafts a personalized onboarding sequence.
import { AI } from 'workflows.do'
export default AI({
onUserSignup: async ({ ai, api, db, event }) => {
const { name, email, company } = event
// 1. Enrich: Go beyond the signup form with external data lookups
const enrichedContact = await api.apollo.search({ name, email, company })
const socialProfiles = await api.peopleDataLabs.findSocialProfiles({ name, email, company })
const githubProfile = socialProfiles.github ? await api.github.profile({ name, email, company, profile: socialProfiles.github }) : undefined
// 2. Research: Use AI agents to understand the context deeply
const companyProfile = await ai.researchCompany({ company })
const personalProfile = await ai.researchPersonalBackground({ name, email, enrichedContact })
const socialActivity = await ai.researchSocialActivity({ name, email, enrichedContact, socialProfiles })
const githubActivity = githubProfile ? await ai.summarizeGithubActivity({ name, email, enrichedContact, githubProfile }) : undefined
// 3. Generate: Craft a unique email sequence based on all research
const emailSequence = await ai.personalizeEmailSequence({ name, email, company, personalProfile, socialActivity, companyProfile, githubActivity })
await api.scheduleEmails({ emailSequence })
// 4. Summarize & Record: Keep your internal systems updated
const details = { enrichedContact, socialProfiles, githubProfile, companyProfile, personalProfile, socialActivity, githubActivity, emailSequence }
const summary = await ai.summarizeContent({ length: '3 sentences', name, email, company, ...details })
const { url } = await db.users.create({ name, email, company, summary, ...details })
await api.slack.postMessage({ channel: '#signups', content: { name, email, company, summary, url } })
},
})
Let's break down what's happening here:
Trying to build the workflow above in a traditional visual automator would be a brittle and opaque nightmare. The "Business-as-Code" approach offered by Workflows.do provides unparalleled advantages:
It's time to graduate from generic templates. By combining the power of AI agents with the reliability of code-driven automation, you can finally deliver the hyper-personalized experiences that build lasting customer relationships.
Ready to turn your business processes into intelligent, personalized services? Explore Workflows.do and start building your first AI-powered workflow today.