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Comparison

Zapier / MakeTerse
Where logic livesVisual stepsTypeScript in your repo
Workspace contextIDs and step wiringGenerated typed helpers
BranchingVisual pathsNormal code
Reviews and versioningLimitedGit
AI + deterministic toolsAdd-onNative pattern

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Example: enrichment workflow

A multi-step Zapier flow becomes a single TypeScript file: 
import { AttioRecordInputEvent, Terse, TerseAgent } from "terse-sdk"
import { Apollo, Attio, AttioList } from "./terse.generated"

const client = new Terse()

await client.createWorkflow({
  name: "new-deal-enrichment",
  triggers: [Attio.onRecordCreated({ list: AttioList.Pipeline.NewDeals })],
  skills: [Attio.skill({ lists: [AttioList.Pipeline.NewDeals] }), Apollo.skill()],
  onTrigger: async (event: AttioRecordInputEvent, agent: TerseAgent) => {
    const company = await agent.tools.apollo.enrichCompany({
      domain: event.record.values.company_domain,
    })

    const summary = await agent.runAndWait("Summarize fit and recommend a next step.", event)

    await agent.tools.attio.updateRecord({
      list: AttioList.Pipeline.NewDeals,
      recordId: event.record.id,
      fields: { fit_score: company.score, research_summary: summary },
    })
  },
})

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Choose Zapier when

  • the workflow is linear with no branching
  • the team prefers a visual builder over code
  • versioning and code review are not required

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Choose Terse when

  • the workflow needs branching, scoring, or typed context
  • you want source control and code review
  • you need deterministic writes around model judgment