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Score inbound and outbound contacts automatically when volume is too high for manual review.

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Start from a project scaffold

terse init acme-revenue
cd acme-revenue
terse integrate
terse generate

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What it does

  1. Triggers on a new contact in Attio.
  2. Pulls firmographic context from Apollo.
  3. Uses the model to assign a score and short rationale.
  4. Writes the score and rationale back to Attio.

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Core workflow

import { createJob, TerseAgent, Trigger } from "terse-sdk"

import { Apollo, Attio, AttioList } from "./terse.generated"

createJob({
    name: "contact-scoring",
    triggers: [Attio.onRecordCreated({ list: AttioList.Contacts.NewContacts })],
    onTrigger: async (event: Trigger) => {
        const agent = TerseAgent.create({
            prompt: "You score new contacts on fit and explain your reasoning briefly.",
            skills: [Attio.skill({ lists: [AttioList.Contacts.NewContacts] }), Apollo.skill()]
        })

        const company = await agent.tools.apollo.enrichCompany({
            domain: event.record.values.company_domain
        })

        const result = await agent.runAndWait(
            [
                "Score this contact from 1-100 and explain why.",
                `Company: ${event.record.values.company_name}`,
                `Domain: ${event.record.values.company_domain}`,
                `Industry: ${company.industry}`,
                `Employee count: ${company.employeeCount}`,
                `Revenue: ${company.estimatedRevenue}`,
                `Technologies: ${company.technologies.join(", ")}`
            ].join("\n")
        )

        // Parse structured score from model output
        const scoreMatch = result.match(/\b(\d{1,3})\b/)
        const score = scoreMatch ? parseInt(scoreMatch[1], 10) : 0

        await agent.tools.attio.updateRecord({
            list: AttioList.Contacts.NewContacts,
            recordId: event.record.id,
            fields: { contact_score: score, scoring_notes: result }
        })
    }
})

​
Customize

  • Change the score thresholds to match your routing logic.
  • Add Slack or email delivery if high scores should notify a rep immediately.
  • Split scoring by persona if your GTM team handles multiple buyer types.
  • See structured output for a more robust way to extract typed scores from the model.