Twin
Autonomous AI employees that run entire workflows in Slack and Gmail
Twin is a strong pick if you want AI that performs end-to-end work on a schedule, especially for lead generation and web scraping where its Browser Agent excels. It's easier to set up than Zapier or Make, and handles tools without APIs that those platforms can't touch. However, credit costs can add up for heavy users, and you lack complex branching logic or granular model control. For sales and ops teams automating recurring workflows, Twin offers a unique combination of autonomy and natural-language simplicity.
Verified 7d ago · liveness 77/100 · cite: rightaichoice.com/tools/twin
- Sales teams automating lead generation and personalized outreach
- Marketing teams repurposing content on autopilot
- Operations teams monitoring dashboards and sending reports
- Recruiters triaging candidates and updating ATS without API
- Users needing visual workflow builders with complex branching logic
- Teams requiring offline or desktop-only automation
- Organizations with strict compliance policies against browser automation or scraping
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Skip Twin if you need complex branching logic typical of visual workflow builders like Make or n8n, or if your organization restricts browser automation and web scraping for compliance reasons.
Every task consumes credits, so heavy usage (e.g., frequent browser agent runs) can push you to the €189 Pro or €882 Max tier quickly.
Twin's pricing scales from €20/month for light use to €882/month for heavy automation, which is competitive with Zapier and Make for autonomous workflows. However, startups can start free or on Mini, while enterprises needing SSO and custom SLAs will pay a premium.
In short
Twin — Autonomous AI employees that run entire workflows in Slack and Gmail. Best for Sales teams automating lead generation and personalized outreach, Marketing teams repurposing content on autopilot, Operations teams monitoring dashboards and sending reports. Free to start; paid plans from $20/mo.
What's new in Twin
Checked 7 days agoAcross the latest 5 updates: 1 launch and 4 news mentions.
Twin public launch and $10M seed round led by LocalGlobe
Twin announced its public launch and a $10M seed round led by LocalGlobe.
Evaluating the Performance of Autonomous AI Agents for SMB Growth Workflows
Blog post assessing autonomous AI agent performance for SMB growth workflows.
Comparing AI Automation Platforms for Lead Enrichment and CRM Syncing
Blog post evaluating AI automation platforms for lead enrichment and CRM syncing.
5 AI Platforms That Automate Real Estate Outreach for Beginners
Blog post comparing AI platforms for automating real estate outreach, aimed at beginners.
Comment automatiser la relance de devis et le suivi de facturation sans API grâce à un agent IA
French-language blog post on automating quote follow-up and invoicing without API using an AI agent.
What people actually say about Twin — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
120 mentions across 6 sources (Hacker News, YouTube, App Store, Bluesky, Stack Overflow, Lemmy) · researched Jul 4, 2026.
- +Natural-language agent builder requires no workflow setup.
- +Browser Agent can access any website without an API.
- +Over 41,000 pre-configured app integrations available.
- +Self-healing automation retries failed steps autonomously.
- +Priced competitively at €20/month for the Pro plan.
- −Almost no community feedback available for the actual tool.
- −Real user reviews are scarce across all major platforms.
- −App Store data is erroneously associated with a health app.
- −Reliability not proven by real-world usage reports.
- −Support quality is unknown due to lack of user testimonials.
- • Browser Agent may incur additional usage fees at scale
- • Custom connector development might require paid support
- • Enterprise tier pricing not transparent
Viability Score
How well maintained and how widely used is Twin? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Autonomous agent execution from email, call, webhook, or schedule triggers
- Natural-language agent builder
- Web scraping of login-protected pages
- Proprietary Browser Agent for no-API web apps
- Multi-channel outreach: email, SMS, WhatsApp, LinkedIn, Facebook
- AI image, video, and slide generation
- Web search and research
- Custom agent interfaces (dashboards, CRM views, workflow UIs)
- 5,000+ pre-built integrations and real-time API connector creation
- Data enrichment (emails, phones, addresses)
- Time triggers and webhooks
- Team credit pool and member spending controls
- Agent marketplace for sharing and monetization
- Slack integration for triggering and reporting
- Gmail integration for triggering and reporting
About Twin
Twin is an autonomous AI employee platform that operates inside Slack and Gmail, connecting to 5,000+ tools and running end-to-end workflows without constant human input. Unlike copilots that assist with individual tasks, Twin's agents trigger themselves from emails, calls, webhooks, or schedules, then complete the entire process and report back in Slack. You can hire pre-built employees like Theo the Lead Scout, who finds and verifies five ICP leads each morning, or build your own using natural language. Twin's core capabilities include web scraping (even login-protected pages), a proprietary Browser Agent that navigates websites without APIs, multi-channel outreach across email, SMS, WhatsApp, LinkedIn, and Facebook, and AI-generated images, videos, and slides. You can also create custom interfaces like dashboards and CRM views. With 5,000+ integrations and the ability to connect any tool with an API, Twin suits sales, marketing, operations, recruiting, and real estate teams that want recurring jobs automated. Pricing is credit-based with a single plan structure: Mini at €20, Mini+ at €50, Pro at €189, and Max at €882 per month, with unused credits rolling over and auto top-up on higher tiers. Twin recently announced its public launch and a $10M seed round led by LocalGlobe, reporting 85,000 users and 3 million agents built. The platform is ideal for people who prefer describing a goal in plain English over drawing a flowchart, and who want an agent that finishes the job rather than just assisting with a step.
Behind the Verdict
Twin differentiates itself from traditional automation platforms by prioritizing autonomy and natural-language configuration. Instead of building complex flowcharts, you describe a goal like 'find and verify five ICP leads every morning' and Twin handles the rest—scraping LinkedIn, enriching with verified emails, and writing personalized openers. This makes it accessible to non-technical users in sales, marketing, and operations. Strengths: - Browser Agent can interact with websites that lack APIs, automating tasks in portals, CRMs, and other gated systems. - Pre-built 'employees' in the library cover common roles like lead scouting and marketing production, reducing setup time. - Integrates with 5,000+ apps and can code new integrations on the fly, so you're rarely blocked by a missing connector. - Credit rollover on Mini+ and above adds flexibility for variable usage. - Multi-channel outreach (email, SMS, WhatsApp, LinkedIn, Facebook) lets agents engage prospects where they are. Weaknesses: - Credit pricing can be opaque; heavy workloads may become expensive. The builder shows run-cost forecasts, but you need to monitor usage carefully. - No visual branching logic—Twin is designed for predictable, end-to-end workflows, not complex decision trees. For intricate automations, consider Make or n8n. - As a young product (public launch 2026), documentation and ecosystem are still maturing. Expect occasional rough edges. - No offline or desktop client, so internet dependency is inherent. Where it fits: - Sales teams automating lead generation, enrichment, and personalized outreach. - Real estate agents scraping listings and following up with potential sellers. - Recruiters triaging candidates and updating ATS systems without API access. - Ops and finance teams monitoring data and generating reports. Where it doesn't: - Technical users needing full control over AI models or custom scripting. - High-compliance environments where browser automation or scraping is restricted. - Teams requiring intricate logic beyond simple triggers and schedules.
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Real-world workflow fit
Concrete scenarios for the personas Twin actually fits — and what changes day-one when you adopt it.
Automating daily lead generation
Outcome: Train a Lead Scout to scrape LinkedIn, verify emails, and draft personalized openers every morning, delivering five qualified leads to Slack by 8AM.
Monitoring rental listings
Outcome: Set a web scraper to watch OpenRent and push new matches to Airtable, so you can follow up with prospects faster.
Sending weekly operational reports
Outcome: Create an operations agent that gathers data from your CRM and Sheets, generates a slide deck, and posts it to the team's Slack channel automatically every Monday.
Use Cases
- Automate daily lead enrichment: scrape LinkedIn profiles, enrich with Clearbit, push to Salesforce.
- Triage resumes in Greenhouse: auto-reject underqualified candidates, flag borderline ones.
- Monitor rental listings from OpenRent and push new matches to Airtable.
- Draft and send personalized cold emails from LinkedIn profiles via HubSpot.
- Generate weekly market briefings for real estate agents from scraped market data.
- Create slide decks from Google Sheets data using Gamma integration.
- Repurpose YouTube/Instagram/TikTok content across social platforms.
- Automate LinkedIn job search and identify hiring contacts.
Limitations
- Twin operates on a credit system, so every task consumes credits; heavy usage can become expensive.
- The platform is early-stage, having just launched publicly with a $10M seed round, so the ecosystem and documentation are still maturing.
- Users don't get granular control over underlying AI models or complex branching logic—it's designed for predictable, end-to-end workflows rather than intricate automation.
- There's no offline or desktop client; everything runs in the cloud.
as of 2026-08-17
Verification history
We have re-verified Twin 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Twin tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Starter
$0/mo
Ideal for
Individuals or small teams exploring AI automation with basic needs, like a solo real estate agent wanting to test listing scraping.
What this tier adds
Free entry point with 3 agents and core integrations, no credit rollover or browser agent.
Mini
€20/month
Ideal for
Solo users or small startups with light automation needs, such as automating LinkedIn prospecting under $500/month.
What this tier adds
Adds 2,000 credits (~20 tasks), web scrapers, browser agent, and image/video/slide generation.
Mini+
€50/month
Ideal for
Growing teams that need higher volume and credit rollover, like sales teams automating daily lead enrichment.
What this tier adds
Increases to 5,000 credits (~50 tasks), adds credit rollover, API connections, and team credit pool controls.
Pro
€189/month
Ideal for
Established teams with heavier usage, like marketing agencies running content pipelines for multiple clients.
What this tier adds
Provides 20,000 credits (~200 tasks), up to 10 agents, auto top-up, and priority setup help.
Max
€882/month
Ideal for
High-volume operational teams that need ~800 tasks per month, such as large real estate brokerages.
What this tier adds
Scales to 80,000 credits (~800 tasks) with all Pro features.
Enterprise
Custom
Ideal for
Organizations requiring custom credits, SSO, dedicated infrastructure, SLAs, and tailored commercial terms.
What this tier adds
Offers custom credits, private support, deployment guidance, and security/compliance features.
Where the pricing makes sense
The company stage and team size where Twin's pricing actually pencils out — and where peers do it cheaper.
Twin's pricing scales from €20/month for light use to €882/month for heavy automation, which is competitive with Zapier and Make for autonomous workflows. However, startups can start free or on Mini, while enterprises needing SSO and custom SLAs will pay a premium.
Setup time & first value
How long it actually takes to get something useful out of Twin — broken out by persona, not the marketing-page minute.
Most users can hire a pre-built employee and connect their first tools in under 15 minutes. Building a custom agent takes a bit longer—typically 30–60 minutes to define the goal, connect tools, and test. The platform provides a run-cost forecast before launch, so you know what to expect.
Switching to or from Twin
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zapier: Recreate your workflows as natural-language agents; Twin's browser agent can handle tasks that lacked API connections.
- →From Make: Transfer simple automations by describing them; complex branching may require simplification.
- →From manual processes: Start with a pre-built employee like Lead Scout to immediately automate lead generation.
- →From n8n: For non-developers, Twin offers a no-code approach to automation management.
- ↗To Make: If you need complex branching logic, manual migration of agents into visual flows is possible but requires redesign.
- ↗To Zapier: For simple trigger-action automations, you can recreate workflows as Zaps.
- ↗To n8n: For self-hosted automation, you may need to rewrite agents as n8n workflows using API nodes.
Integrations
Resources & Guides
Tutorials & Learning
Tools that pair well with Twin
Common stack mates teams adopt alongside Twin, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Twin vs Locus Robotics
For physical warehouse automation, Locus Robotics is a proven RaaS solution boosting productivity 2-3x, ideal for 3PLs and eCommerce. For digital task automation, Twin offers no-code AI agents that handle data extraction, outreach, and reporting without hardware. Choose Locus for robots, Twin for software agents. They complement, not compete.
Twin vs Presto Voice
Twin and Presto Voice serve completely different markets. Twin is a general-purpose AI agent platform perfect for sales, marketing, and ops teams wanting no-code automation across web and APIs, backed by its $10M seed round and active blog. Presto Voice is a specialized drive-thru voice AI for QSR chains, proven with brands like Dairy Queen and Taco John's. Your choice depends entirely on whether you need autonomous business automation or restaurant voice ordering.
Twin vs Truleo
If you run a law enforcement agency drowning in siloed data, Truleo is the obvious choice — it’s purpose-built for crime intelligence, jail call analysis, and rapid report writing. For every other team (sales, marketing, ops, recruiting), Twin’s no-code agent platform is more flexible, affordable, and backed by a fresh $10M round. Don’t cross-shop these; they serve completely different worlds.
Alternatives to Twin
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Deploy persistent AI coworkers in Slack & Teams that execute real work autonomously.
C3 AI
Enterprise AI platform for agentic applications and autonomous decision-making.
Relevance AI
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