Send and receive messages, manage channels, respond to mentions.
Read, create, and manage files and folders in Google Drive.
Read, send, and manage emails via Gmail.
Access Outlook, OneDrive, Teams, and other Microsoft 365 services.
Manage contacts, deals, and marketing campaigns in HubSpot.
Create and manage issues, projects, and cycles in Linear.
Manage repositories, issues, and pull requests on GitHub.
Read and write pages, databases, and blocks in Notion.
Access accounts, contacts, opportunities, and reports in Salesforce.
Track issues in Jira and collaborate on pages in Confluence.
Forward emails from any provider to trigger AI Employee workflows.
Fast, intelligent web search and web crawling for AI agents.
Access LinkedIn profiles, posts, and company data for professional outreach and research.
Access OpenAI models for image generation, embeddings, and text-to-speech.
Access athlete activities, routes, and performance data from Strava.
Manage VPS instances, snapshots, and networking on Contabo.
AgentSource B2B platform for enriching leads, accounts, and market data.
AI-powered talent sourcing and recruitment automation.
AI-powered ad performance analysis and marketing optimisation.
Personal context management for AI assistants. Store and retrieve context layers.
Self-service product analytics — query funnels, retention, and user behaviour.
AI-powered game asset generation — sprites, icons, textures, and concept art.
AI governance and compliance — policy enforcement, audit trails, and risk scoring.
AI-powered Salesforce admin — automate configuration, metadata changes, and org management.
Merge, deduplicate, and reconcile data across sources with AI-powered matching.
Agent-first meeting scheduling — create polls, find availability, and book meetings.
AI-powered Shopify admin — manage products, orders, and inventory via natural language.
AI-powered internationalisation — translate, localise, and manage multilingual content.
AI email marketing — generate campaigns, A/B test subject lines, and track deliverability.
Local business intelligence for AI agents — discover, verify, and enrich local business data.
AI security posture management — monitor threats, scan vulnerabilities, and enforce policies.
Google Ads management via AI — optimise bids, manage campaigns, and generate reports.
Document processing and manipulation — extract, convert, and analyse documents at scale.
AI recipe and meal planning — generate recipes, plan meals, and calculate nutrition.
Knowledge graph construction and querying — build and traverse connected knowledge bases.
Progressive tool usage — gradually expose capabilities based on trust and context.
Draft client proposals based on deliverable templates. Fetches structure from MCP tools, checks policies at runtime, produces formatted output.
Generate periodic reports (weekly, monthly, quarterly) from data and templates. Structured sections, data summaries, recommendations.
Draft email replies based on inbound messages. Matches client tone via policy, references relevant templates, handles common request types.
Process uploaded documents, extract key information, summarise findings, flag items requiring attention.
Draft blog posts, articles, marketing copy, social media content. Follows client brand guidelines fetched via policy.
Extract structured data from unstructured sources (emails, documents, web content), format according to client preferences.
Summarise meeting transcripts into structured notes with action items, decisions, and follow-ups. Works with any transcript format.
Review pull requests and code changes for quality, security, and adherence to team conventions. Provides structured feedback with severity levels.
Triages incoming events for the AI Employee System. Categorises events, groups related work, and dispatches focused tasks to sub-agents with only relevant context.
Sends quick acknowledgement replies for incoming events while the main processing happens asynchronously. Prevents silence gaps.
Standard consulting engagement proposal with executive summary, scope, timeline, and pricing table.
Post-engagement technical audit with findings, severity ratings, risk matrix, and remediation roadmap.
Periodic status report with progress summary, key metrics, blockers, and next steps.
Structured meeting notes with attendees, agenda, decisions, action items, and follow-ups.
Enforces professional, consultative language in all client-facing outputs. Covers formality, spelling conventions, and pronoun usage.
Requires an AI assistance disclosure footer on all generated deliverables. Includes a reviewer name field that must be completed before external distribution.
Prevents internal pricing, margin, and cost data from appearing in client-facing deliverables. Maps internal rates to approved client-facing tiers.
Governs how personally identifiable information is processed in outputs. Requires anonymisation or redaction of PII unless explicitly authorised.
Sets a friendly, direct brand tone for external communications. Configurable for reading level, language variant, and emoji usage.