Feature pillar
Twin agents plan the steps, choose tools, execute across apps and websites, and keep running on a schedule or webhook so teams can automate recurring business workflows.
A Twin agent can take a goal, split it into steps, call tools, browse websites, update systems, and return a finished result. Human review can stay in the loop for approvals, but the agent carries the operational work.
The best fit is repeatable work with clear inputs and outputs: lead research, daily reports, CRM updates, support triage, recruiting, competitive monitoring, and back-office checks.
A chatbot replies. A Twin agent executes. It connects to apps, uses a browser when APIs are not available, remembers workflow context, and can run without a person starting every step.
Related use cases
Build targeted prospect lists with verified emails, job titles, and company data. Twin finds decision-makers, enriches contacts, and delivers ready-to-use lead lists — all on autopilot.
Read use caseLet AI research each prospect, write hyper-personalized emails, and send follow-up sequences automatically. More meetings booked, less manual work for your SDR team.
Read use caseLet AI do the heavy lifting. Twin researches any topic, analyzes data from multiple sources, and delivers comprehensive reports — market research, competitive analysis, trend reports, and more.
Read use caseGet instant alerts when competitors change pricing, launch products, update their website, or post on social media. Twin monitors everything and delivers a daily competitive intelligence digest.
Read use caseFAQ
An autonomous AI agent is software that can understand a goal, decide which tools to use, take actions, and continue until the workflow is complete.
Yes. Twin agents can run manually, on a schedule, or from webhook-style triggers depending on the workflow.
Sensitive actions can include approval steps. Twin is designed for workflows where teams decide what should be automatic and what should require review.
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