Lutra AI

Lutra AI is an AI productivity agent that quietly turns plain-language requests into code-based workflows across your work apps. It connects to Google Workspace, Microsoft, Slack, HubSpot, Airtable and more to enrich contacts, extract PDF data and automate email. It runs in the browser for individuals and teams. A free plan exists, and paid tiers use monthly credits.

What is Lutra AI?

Lutra AI is a browser-based AI agent that handles repetitive work across your apps. You describe a job in plain English, and Lutra writes and runs code to complete it, which keeps results precise and repeatable.

Finished tasks become Playbooks you can share or schedule. The team comes from Google, Coursera and Amazon, with backers including Coatue. The product was live in October 2026.

Key Features

  • Plain-language tasks: Lutra AI plans and runs a task from a request typed in plain English. There is no canvas or node graph to build, so simple jobs start in minutes.
  • Code-based execution: Lutra writes and runs real code for each task, so outputs stay precise and repeatable. The company says users get full visibility into every action and the code behind it.
  • Data enrichment: Lutra fills gaps in contact and CRM lists with profile lookups and web research. Sales teams can refresh records with current details instead of copying them by hand.
  • PDF and web extraction: Fields from PDFs and websites land in structured spreadsheets. Finance and ops staff can turn invoices, contracts or web listings into rows without manual data entry.
  • Email automation: Lutra drafts personalised outreach in Gmail or Outlook at scale. Sales and marketing teams can run tailored campaigns from their own inbox rather than a separate email tool.
  • Reporting and analysis: Lutra processes datasets and turns them into insights and visualisations. Ops and finance teams use it to build regular reports from spreadsheets and connected apps without writing formulas.
  • Custom connectors: Lutra can build connectors to other APIs in minutes, according to the company. MCP servers, REST, OpenAPI endpoints and Supabase databases extend it beyond the native app list.
  • Playbooks: Saved tasks become Playbooks that can be reused and shared with teammates. Paid plans add scheduling and webhooks, turning a one-off request into a repeating workflow.

Pros

  • Low setup: No node canvas or build step stands between a request and the result. Teams that find visual automation builders slow can get a working task in minutes.
  • Google Workspace depth: Docs, Sheets, Gmail and Calendar work out of the box. Results land directly in a Google Sheet rather than a chat window, which suits spreadsheet-heavy teams.
  • Free entry point: The free plan lets you test real tasks before paying. Reviewers report 200 credits a month, enough to judge whether the agent handles your data correctly.
  • Security posture: Lutra states it holds SOC-2 certification and connects through OAuth. The company also says it does not store data long term without consent, which reassures cautious teams.
  • Clear credit rules: The help centre spells out credit costs, such as one credit for a website fetch and three for a search. App actions in Slack, Google Workspace or Airtable are free.

Cons

  • Credit drain: Searches, profile lookups and AI reasoning all use credits. Data-heavy jobs with many lookups, such as enriching a long lead list, can exhaust a monthly allowance faster than expected.
  • Free plan limits: Reviewers report a 15-message daily cap and no scheduling on the free plan. Unattended automation needs the Essentials plan, reported at $23 a month billed annually.
  • Premium connectors: Outlook, OneDrive and HubSpot reportedly need a paid plan. Microsoft-based teams cannot test their main apps fully on the free tier before committing to a subscription.
  • Unpredictable costs: Recurring workflows that touch large datasets can push bills up month by month. One review warns that credits meter routine data movement as well as AI reasoning.
  • Hidden price table: Official plan figures did not load for us, so prices come from directories. One directory shows custom pricing only, so confirm the current rates on lutra.ai before buying.

Who is Using Lutra AI?

  • Sales teams: Reps enrich leads and draft outreach.
  • Operations staff: Ops teams automate reports and spreadsheet updates.
  • Finance analysts: They extract invoice and contract figures into sheets.
  • Small teams: Founders use it in place of a developer for routine scripts.

Pricing

Lutra AI is freemium, with credit-based paid tiers (directory figures, checked October 2026).

Plan Price What you get
Free $0 200 credits, 15 messages a day
Essentials $23/month, annual 2,000 credits, scheduling
Professional $63/month, annual 6,000 credits, priority support
Enterprise Custom Unlimited credits, dedicated support

One directory lists these as yearly prices and another shows custom pricing only. Allowances can change, so check lutra.ai before you buy.

What Makes Lutra AI Unique?

Real code runs behind every request. Chat assistants return text, while Lutra executes a script against your apps, so a Playbook behaves the same each time. Built-in enrichment lookups and MCP support place it between a chatbot and a full automation builder.

Compatibilities and Integrations

  • Platforms: A web app for desktop browsers.
  • Productivity apps: Google Workspace, Outlook, OneDrive, Slack, GitHub, Airtable and LinkedIn.
  • CRM and data: HubSpot, REST APIs and Supabase.
  • Custom tools: MCP servers add other services.

Lutra AI Tutorials

A first task takes minutes.

  1. Sign up free at lutra.ai.
  2. Connect apps such as Gmail or Sheets.
  3. Describe a task in plain English.
  4. Review and refine the output.
  5. Save it as a Playbook and schedule it.

How We Rated It

Criterion Score Why
Accuracy and Reliability 4.2 Code-based runs stay consistent
Ease of Use 4.3 Plain-language prompts, no canvas
Functionality and Features 4.2 Enrichment, extraction and email
Performance and Speed 3.9 Large jobs can run slowly
Customization and Flexibility 4.0 Playbooks plus MCP extensions
Data Privacy and Security 4.3 SOC-2 and OAuth access
Support and Resources 3.6 Help centre, limited community
Cost-Efficiency 3.4 Credits drain on heavy tasks
Integration Capabilities 4.4 Wide app and API coverage
Overall Score 4.0 Average of the nine criteria

Summary

Lutra AI suits sales, ops and finance teams who want automation without a visual builder. The main limitation is credit use on bigger, data-heavy jobs with many lookups. Start free with one small recurring task to gauge your monthly credit needs.

FAQ

Frequently Asked Questions

Find answers to the most common questions about our services, reviews, tools, platforms, and more.

Lutra AI is used to automate repetitive work tasks across connected apps. Typical jobs include enriching lead lists, extracting PDF data into spreadsheets, drafting personalised emails and building reports, all requested in plain English rather than through a visual workflow builder.

Yes. Lutra AI offers a free plan, reported to include around 200 credits a month and a daily message cap. Paid tiers are reported from $23 a month billed annually and add more credits, unlimited messages, scheduling and premium connectors.

Credits pay for AI processing and outside data. The help centre lists one credit for a website fetch and three for a web search or profile lookup. App actions in Slack, Google Workspace or Airtable are free, and cached data is reused.

Yes, with normal caution. Lutra states it holds SOC-2 certification, connects through OAuth and only accesses data when needed for a requested task. You should still review permissions and avoid connecting accounts that the work does not require.

Lutra AI integrates with Google Docs, Sheets, Gmail and Calendar, Outlook, OneDrive, Slack, GitHub, HubSpot, Airtable and LinkedIn. It can also reach REST APIs, Supabase and other services through Model Context Protocol servers you add yourself.

Playbooks are saved versions of tasks you have already run. You can reuse them, share them with teammates and, on paid plans, schedule them to run automatically, which turns a one-off request into a repeatable workflow without rebuilding it.

Lutra AI takes a plain-language request and writes code to complete it, so you never wire triggers and actions by hand. Zapier relies on predefined app steps, which suits fixed pipelines, while Lutra handles ad-hoc data work more flexibly.

Zapier Agents, Gumloop, n8n and Relay.app are the closest options. Zapier suits app-to-app triggers, Gumloop offers a visual AI builder, n8n is open source and self-hostable, and Relay.app adds human approval steps to its automations.

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