Builder use cases.

See how Builder researches websites, works across tools and files, runs repeatable workflows, and returns finished work ready for review.

Builder
8 minvs 3 hours manual

Automated lead research and enrichment before stand-up.

A SaaS sales team

Every Monday the team feeds Builder a list of 500 target company names. Builder visits each website, pulls LinkedIn, identifies the right contact, enriches with firmographic data, scores against the ideal-buyer profile, and writes a personalised opener: all before morning stand-up.

01
InputDrop 500 target companies in (CSV or HubSpot)
02
ProcessLead-research agent scores and enriches each one
03
OutputPersonalised opener lands in the SDR’s queue
OutreachEnrichmentCRM sync
Open
Builder
08:00Delivery time every Monday

Weekly competitive monitoring, delivered by 8 AM Monday.

A strategy team

Builder’s research agent runs every Monday morning. It scrapes competitor pricing pages, job boards, press releases and review sites published in the prior week, then compiles a structured 2- page briefing and emails it to the team: no manual aggregation, no missed updates.

01
InputWatch list: competitor domains + review sites
02
ProcessResearch agent scrapes and summarises the week
03
Output2-page briefing in the team inbox, 08:00 Monday
BriefingsWeeklyAutomation
Open
Builder
Reply rate at same headcount

Full-cycle outbound sequences that triple reply rate.

An e-commerce brand

Builder’s outreach agent runs end-to-end cold email: it segments the list, writes personalised openers referencing each prospect’s recent news, schedules sends at peak times, auto-follows up non-openers on day 3 and 7, and escalates warm replies to a human rep. Reply rate triples; SDR capacity holds flat.

01
InputImport the list, connect mailbox + CRM
02
ProcessAgent drafts, sends and follows up per persona
03
OutputWarm replies escalate to a human closer
Cold emailSequencesEscalation
Open
Builder
Channels from one post

Turn one blog post into five channels of content.

A content marketer

Publish one long-form post per week. Builder’s content-distribution agent automatically repurposes it into a LinkedIn article, three X threads, a short form newsletter and a Slack community post: each rewritten for the platform’s tone and scheduled at peak engagement times.

01
InputPublish one long-form post
02
ProcessAgent rewrites for 5 channels in-voice
03
OutputFive pieces scheduled at channel-specific peak times
RepurposeMulti-channelScheduling
Open
Builder
3 minFirst response, down from 4 hr

Tier-1 support that resolves 68% of tickets itself.

A 60-person software company

Builder’s support agent reads incoming tickets, classifies by issue type, pulls relevant help docs, and either resolves automatically or routes to the right teammate with a pre-drafted reply. Average first response drops from four hours to three minutes.

01
InputInbound ticket hits the shared queue
02
ProcessAgent classifies, pulls docs, drafts reply
03
Output68% auto-resolve: the rest route, pre-drafted
TriageZendeskAuto-resolve
Open