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Integration

Automate folk CRM workflows with AI agents

Twin builds agents that read and update folk—pulling warm leads, enriching contact records, syncing pipeline stages, and keeping your CRM current without manual effort.

Integration guide

How Twin uses Folk inside repeatable agent workflows

Twin treats Folk as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.

The page below shows the practical automation patterns for Folk: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.

Common starting points include crm automation, lead enrichment, sales prospecting. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.

Twin is most useful when folk's available connection methods don't always expose every workflow through structured API endpoints. Twin operates the browser interface directly, so actions like updating pipeline stages or writing notes work even when no API route exists for them.

What you can do with Folk

Real Folk workflows the Twin community runs every day, ready for you to clone.

  • Export and segment contacts by lead status

    Pull contacts from folk filtered by segment or lead status, then pass them downstream for enrichment or outreach.

    Explore
  • Enrich contact records with external data

    Look up job titles, company size, and other signals for each folk contact and write the results back into the record.

    Explore
  • Sync contacts from external sources into folk

    Import contacts from Substack, Kondo, or other tools directly into folk, mapping fields to companies, owners, and pipeline stage.

    Explore
  • Classify and score leads in folk pipelines

    Read deal and contact data from folk, apply classification logic, and update lead status or pipeline stage accordingly.

    Explore
  • Draft outreach from folk contact data

    Use contact details stored in folk—name, company, notes—to generate personalized email drafts for follow-up sequences.

    Explore
  • Research and import investor or prospect lists

    Find contacts matching criteria (e.g. angel investors in a region), then create or update records in folk with notes and owners.

    Explore

How it works

Three steps from idea to a running Folk agent.

  1. 1

    Connect via OAuth or browser

    Pick whichever fits — Twin supports both API and browser access for Folk, and switches between them where it makes sense.

  2. 2

    Describe the workflow

    Tell Twin what should happen in Folk in plain English. The agent picks the right access path per step.

  3. 3

    Twin builds and runs

    Twin runs the agent on schedule, on demand, or triggered by other agents — and adapts at run time when Folk changes underneath.

Why Twin for Folk

What makes Twin a better fit than a generic automation tool.

Browser access when APIs fall short

folk's available connection methods don't always expose every workflow through structured API endpoints. Twin operates the browser interface directly, so actions like updating pipeline stages or writing notes work even when no API route exists for them.

No manual copying between tools

A recurring pain point with folk is that data moving between it and other tools—Substack lists, LinkedIn profiles, spreadsheets—requires manual re-entry. Twin handles the transfer automatically, keeping records current without human intervention.

Repeatable workflows, not one-off scripts

Twin agents run on a schedule or on demand, so the same enrichment or sync logic executes consistently. You describe the workflow once; Twin handles subsequent runs without rebuilding the steps each time.

Build with more than Folk

These related integration pages give crawlers and readers another path through the automation catalog. They connect Folk to nearby apps, categories, and paired workflows that teams often evaluate together.

See all integrations

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Popular pairings

Frequently asked questions

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