Backed by Nvidia
Backed by Nvidia
Automate your work
with AI agents anyone can build
Automate your work
with AI agents anyone can build
Automate reporting, CRM updates & client briefs in minutes — with AI agents 
that use your real data 
.
Just tasks done for your agency.
No credit card required
Trusted by 183+ lean teams like yours
Trusted by 183+ lean teams like yours
Connect your agency stack
All your apps, one AI layer. Link HubSpot, Gmail, Slack, Notion, Intercom, Analytics, Meta, and more in a few clicks. Agents read your data across your CRM, ads, reporting tools, and communications to automate the operations work your AMs hate doing. → Your tools stay the same. How you work with them becomes 10× smarter.
Build an AI agent (in minutes)
Tell it what you want. Calk builds the workflow.
Describe the job, choose which tools it should use, and give it a name — that’s it.
Your agent plans, orchestrates, and executes the steps automatically.
No workflows. No nodes. Zero complexity.
→ The fastest way to create powerful automations, even if you hate automation tools.
Deploy & automate
Let agents do the work - while you focus on the real work.
Trigger an agent with whenever you need it, or schedule it to run daily, weekly, or monthly.
They fetch data, generate reports, update CRMs, write emails, push insights to Notion - fully autonomously.
→ Your AI workforce, running your operations in the background.
How it works
How it works
How it works
Skip the Zapier-workflows. Let AI agents run your agency.
Skip the Zapier-workflows. Let AI agents run your agency.
Connect your tools, describe the job, and schedule agents that work for you in the background. No nodes, no triggers to configure - just real automation powered by AI that understands your business.
Features
Features
Features
AI agents built for marketing agencies that get things done
AI agents built for marketing agencies that get things done
Calk AI gives you everything you need to build and automate tasks with AI agents in minutes. Stop wasting time building workflows. Just build a team of AI agents.
Meta
Google Analytics
Instagram
Meta
Google Ads
Gmail
Airtable
Asana
Linear
Connect your live data, from anywhere
Connect your live data, from anywhere
All your data, unified under one AiI layer your agents can read and act on - always up to date.
Build AI agents for any task
Automate reporting, CRM updates, inbox tasks, meeting prep, and more — with agents powered by your real data.
Analyze and talk to your data
Create weekly reports, client briefs, performance summaries, and recommendations — automatically.
@marketing-reporter
Data back reporting is sent
4
@crm
Lead notes updated with email
3
@new-lead
Update new leads to #Sales
4
Schedule your agents
Run agents daily or weekly to automate reports, send updates, or clean CRM data — fully automatic.
Take actions on your tools
Agents can update contacts, create notes, send follow-ups, write reports - across all your tools.
Configure your agent to perform actions within your systems.
Automate your work with your data
All your data, unified under one AI layer your agents can read and act on - always up to date.
Explore
Explore
Explore
A preview of the simplest way to build AI agents that use your real data.
Automation exemples
Automation exemples
Automation exemples
Ready-to-use AI agents that save you hours every week
Explore our pre made agents. Each one is made to automate one or multiple at the same time. Calk AI can automate the busywork so you can focus on what really matters
Email reply draft
Every morning, the agent scans your inbox and draft replies to your email. Except for the marketing emails.
Morning Brief
Every morning, draft me a summary of my day. You will be format the smoothest way possible to start the day fresh.
Weekly planner
Every monday morning, check the tasks I have to complete for this week in Asana/Jira/Notion and populate my calendar to complete those tasks.
Company Overview
Every month, draft a full report on the company's activites. From sales to marketing and product. It has to show a complete overview of the business.
External meeting prep
Every morning, you will fetch my meetings in my calendar. Then do a little web search based on their domain after the @ in their email adress. Give me news, updates and what their business is doing.
Internal meeting prep
Every morning, analyze my calendar to see if I have a meeting with someone from our team. If so, prepare the meeting with relevant data (if sales look at his numbers on crm)
Weekly Call Prep Agent
Every morning, label all the emails I received. Labels are : Important , business , internal, client, marketing and partnerships.
Slack diggest
Every friday, summarize #hq #main and #general slack chanels to give me a heads up on what is going on in our company.
Company's project tracker
Every week, this agent will summarize if the company meets its KPIs.
Deal Pipeline Cleaner
Every morning, scan your entire sales pipeline for stalled deals, missing fields, and overdue tasks. Then update the CRM for you: fill missing fields, move stages, set tasks.
Lead Research Booster
Every morning, enrich new leads with company info, industry tags, LinkedIn data, and website details. Then push all enriched fields directly into HubSpot or Pipedrive, fully filling the lead profile.
Follow-Up Writer
Every weekday, check which deals haven’t received a reply or haven’t moved in 3+ days. Then draft and optionally send follow-up emails that match your tone and the deal’s context.
Hot Lead Activity Digest
Every morning, identify leads who visited pricing pages, clicked ads, or reopened emails. Then flag these leads inside your CRM and generate a prioritized “call-first” list for your reps.
Battlecard Builder
Every Monday, analyze competitor sites, pricing, messaging, and your win/loss notes. Then update your Notion battlecards automatically with new arguments, positioning, and differentiators.
Objection Handle
Every morning, analyze objections mentioned in sales emails, meetings, and lost deals. Then update your Notion sales playbook with new responses, and draft objection-handling emails for reps to reuse.
Weekly Call Prep Agent
Every morning, prepare briefs for all upcoming sales meetings: recent activity, objections, company news, and recommended talking points.
Lead Scoring Digest
Twice a week, this agent will score new leads based on engagement and provide a daily list of high-priority contacts sent straight to your team.
Email Drafting
Every morning at 9:30, this agent scans your inbox to identify emails from real people — ignoring newsletters and ads. It reads each message, understands the context and tone, and drafts a personalized.
Weekly Content Performance Digest
Every Monday, get a clean breakdown of your content: reach, engagement, winners, losers, and what to post next. And pushes it in your notion.
Content Repurposing Machine
Every morning, transform long-form content (blogs, podcasts, videos) into posts for LinkedIn, Instagram, and newsletters, all in your voice.
Personal Wellness & Balance Tracker
Every Sunday at 7:00 PM, review my week and provide a personal wellness check-in. Analyze my calendar to calculate: total meeting hours, maker time vs. meeting time...
Weekly Social Calendar
Every Sunday, generate a full content calendar for the week: captions, hashtags, visuals, and publishing schedule.
Competitor Intelligence Digest
Every Monday, summarize competitor campaigns, messaging shifts, new ads, and opportunities your team can capitalize on.
Email Marketing Writer
Every Tuesday, write high-quality email campaigns with segments, subject lines, and CTAs tailored to each audience.
Ad Performance Analyzer
Every morning, review ad campaign data and produce actionable insights: what to pause, what to scale, and what to A/B next.
Brand Tone Consistency Checker
Every morning, scan new drafts and rewrite them automatically to match your brand voice perfectly.
Persona Insights Refresher
Every month, refresh audience personas based on new behavioral and conversion data.
Weekly Sprint Summary
Every Friday, produce a complete sprint summary: progress, blockers, wins, and next steps for each squad.
Feature Request Aggregator
Every morning, collect all feature requests from Intercom, Slack channels, and forms. Then update your Notion feature database, tagging each request by urgency, theme, and user segment.
PRD Generator
Every Monday, turn new product ideas from Notion or Drive into complete PRDs. Then create draft Jira epics or tickets, linking to the PRD automatically.
Experiment Insight Reporter
Every Wednesday, summarize all ongoing A/B tests and produce clear outcome recommendations.
Roadmap Builder
Every month, analyze all tasks, bugs, customer requests, and strategic goals. Then update your Notion roadmap, reorganize priorities, and generate a new roadmap view for leadership.
Bug Pattern Detector
Every morning, group new tickets into patterns to help engineers identify recurring issues quickly.
UX Feedback Analyzer
Every Thursday, scan NPS comments, surveys, and feedback from support. Then push UX notes into Notion, grouped by journey phase (onboarding, dashboard, billing, etc.).
Churn Risk Scanner
Every Monday, detect accounts whose product usage dropped or who opened multiple support conversations. Then update their lifecycle stage or risk score inside HubSpot automatically.
Release Note Writer
Every Friday, scan merged PRs and closed tasks to generate clear, customer-friendly release notes. Automatically publish them in your Notion changelog or send via Slack/email.
Daily Sentiment Radar
Every morning, analyze all conversations for negative sentiment, urgency, or frustration. Then log high-risk cases in Notion, assign owners, and notify the team on Slack.
Inbox Summary Report
Every hour, group new tickets by urgency, topic, and product area. Then post a clean summary into Slack so the team always knows what needs attention.
Reply Drafting Assistant
Every morning, generate ready-to-send reply drafts for all new tickets using your Notion KB + past resolutions. Then save the drafts directly inside Intercom for agents to approve.
Weekly Support Trends
Every Friday, analyze support patterns: recurring issues, rising topics, sentiment changes, and volume spikes. Then publish a structured weekly support report into Notion for product & ops teams.
Ticket-to-Bug Pattern Agent
Every morning, detect recurring bugs from tickets. Then automatically create Jira issues, link relevant conversations, and notify engineering on Slack.
Knowledge Base Builder
Every week, scan solved tickets for new explanations, edge cases, and tutorials. Then auto-generate new KB articles in Notion, including formatting and example messages.
CSAT Insight Agent
Every morning, analyze all CSAT ratings, detect patterns behind good/bad scores, and update your CSAT insights database in Notion with aggregated learnings
Automatic Ticket Tagger
Every morning, classify incoming tickets by theme, urgency, and product area. Then write structured tags directly into Intercom for reporting & routing.
Follow-Up Reminder Agent
Every afternoon, detect all tickets waiting on a customer answer or pending agent reply. Then notify the responsible agents on Slack and set follow-up reminders inside Intercom.
KPI Sync Agent
Every night, collect all key performance indicators from Analytics and operational data from Airtable. After computing trends and deltas, the agent updates your KPI dashboards in Notion.
Weekly Metrics Summary
Every Monday, generate a clean and human-readable summary of traffic, signups, conversion rates, and campaign performance. The agent then creates a new weekly report page in Notion, ready for leadership review.
Data Quality Auditor
Every morning, scan MongoDB and Airtable tables for missing values, duplicates, or format inconsistencies. Then push a structured “Data Issues List” into Monday, assigning owners automatically.
Anomaly Scanner
Every day, detect abnormal movements in traffic, revenue, activation or churn signals. When something spikes or drops, the agent logs the anomaly into Airtable with context + recommended next steps.
Data Normalization
Every night, normalize fields like industry, country, lifecycle stage and IDs across HubSpot and Airtable. The agent then updates Airtable + Monday tables to keep consistent data across all teams.
Data Documentation Writer
Every month, read schema changes, new fields, and table updates from MongoDB + Airtable. Then update or create new documentation pages in Notion, including definitions, owners, and usage notes.
Cohort Analysis Reporter
Every month, analyze retention cohorts from MongoDB and behavior cohorts from Analytics. Then create a full cohort insights page in Notion, including charts, summaries, and strategic recommendations.
Attribution Analyzer
Every Monday, analyze which traffic sources and campaigns actually generated signups, SQLs, and revenue. The agent publishes a clean attribution report into Notion, including what to scale and what to cut.
Warehouse Sync
Every hour, sync updated operational data from Airtable into the warehouse pipeline (MongoDB read remains untouched), and update Monday boards with the latest synced entries to keep operations aligned.
Email reply draft
Every morning, the agent scans your inbox and draft replies to your email. Except for the marketing emails.
Lead Research Booster
Every morning, enrich new leads with company info, industry tags, LinkedIn data, and website details. Then push all enriched fields directly into HubSpot or Pipedrive, fully filling the lead profile.
Follow-Up Writer
Every weekday, check which deals haven’t received a reply or haven’t moved in 3+ days. Then draft and optionally send follow-up emails that match your tone and the deal’s context.
Hot Lead Activity Digest
Every morning, identify leads who visited pricing pages, clicked ads, or reopened emails. Then flag these leads inside your CRM and generate a prioritized “call-first” list for your reps.
Battlecard Builder
Every Monday, analyze competitor sites, pricing, messaging, and your win/loss notes. Then update your Notion battlecards automatically with new arguments, positioning, and differentiators.
Objection Handle
Every morning, analyze objections mentioned in sales emails, meetings, and lost deals. Then update your Notion sales playbook with new responses, and draft objection-handling emails for reps to reuse.
Weekly Call Prep Agent
Every morning, prepare briefs for all upcoming sales meetings: recent activity, objections, company news, and recommended talking points.
Lead Scoring Digest
Twice a week, this agent will score new leads based on engagement and provide a daily list of high-priority contacts sent straight to your team.
Email Drafting
Every morning at 9:30, this agent scans your inbox to identify emails from real people — ignoring newsletters and ads. It reads each message, understands the context and tone, and drafts a personalized.
Deal Pipeline Cleaner
Every morning, scan your entire sales pipeline for stalled deals, missing fields, and overdue tasks. Then update the CRM for you: fill missing fields, move stages, set tasks.
Lead Research Booster
Every morning, enrich new leads with company info, industry tags, LinkedIn data, and website details. Then push all enriched fields directly into HubSpot or Pipedrive, fully filling the lead profile.
Follow-Up Writer
Every weekday, check which deals haven’t received a reply or haven’t moved in 3+ days. Then draft and optionally send follow-up emails that match your tone and the deal’s context.
Hot Lead Activity Digest
Every morning, identify leads who visited pricing pages, clicked ads, or reopened emails. Then flag these leads inside your CRM and generate a prioritized “call-first” list for your reps.
Battlecard Builder
Every Monday, analyze competitor sites, pricing, messaging, and your win/loss notes. Then update your Notion battlecards automatically with new arguments, positioning, and differentiators.
Objection Handle
Every morning, analyze objections mentioned in sales emails, meetings, and lost deals. Then update your Notion sales playbook with new responses, and draft objection-handling emails for reps to reuse.
Weekly Call Prep Agent
Every morning, prepare briefs for all upcoming sales meetings: recent activity, objections, company news, and recommended talking points.
Lead Scoring Digest
Twice a week, this agent will score new leads based on engagement and provide a daily list of high-priority contacts sent straight to your team.
Email Drafting
Every morning at 9:30, this agent scans your inbox to identify emails from real people — ignoring newsletters and ads. It reads each message, understands the context and tone, and drafts a personalized.
Weekly Content Performance Digest
Every Monday, get a clean breakdown of your content: reach, engagement, winners, losers, and what to post next.
Content Repurposing Machine
Every morning, transform long-form content (blogs, podcasts, videos) into posts for LinkedIn, Instagram, and newsletters, all in your voice.
Personal Wellness & Balance Tracker
Every Sunday at 7:00 PM, review my week and provide a personal wellness check-in. Analyze my calendar to calculate: total meeting hours, maker time vs. meeting time...
Weekly Social Calendar
Every Sunday, generate a full content calendar for the week: captions, hashtags, visuals, and publishing schedule.
Competitor Intelligence Digest
Every Monday, summarize competitor campaigns, messaging shifts, new ads, and opportunities your team can capitalize on.
Email Marketing Writer
Every Tuesday, write high-quality email campaigns with segments, subject lines, and CTAs tailored to each audience.
Ad Performance Analyzer
Every morning, review ad campaign data and produce actionable insights: what to pause, what to scale, and what to A/B next.
Brand Tone Consistency Checker
Every morning, scan new drafts and rewrite them automatically to match your brand voice perfectly.
Persona Insights Refresher
Every month, refresh audience personas based on new behavioral and conversion data.
Weekly Sprint Summary
Every Friday, produce a complete sprint summary: progress, blockers, wins, and next steps for each squad.
Feature Request Aggregator
Every morning, collect all feature requests from Intercom, Slack channels, and forms. Then update your Notion feature database, tagging each request by urgency, theme, and user segment.
PRD Generator
Every Monday, turn new product ideas from Notion or Drive into complete PRDs. Then create draft Jira epics or tickets, linking to the PRD automatically.
Experiment Insight Reporter
Every Wednesday, summarize all ongoing A/B tests and produce clear outcome recommendations.
Roadmap Builder
Every month, analyze all tasks, bugs, customer requests, and strategic goals. Then update your Notion roadmap, reorganize priorities, and generate a new roadmap view for leadership.
Bug Pattern Detector
Every morning, group new tickets into patterns to help engineers identify recurring issues quickly.
UX Feedback Analyzer
Every Thursday, scan NPS comments, surveys, and feedback from support. Then push UX notes into Notion, grouped by journey phase (onboarding, dashboard, billing, etc.).
Churn Risk Scanner
Every Monday, detect accounts whose product usage dropped or who opened multiple support conversations. Then update their lifecycle stage or risk score inside HubSpot automatically.
Release Note Writer
Every Friday, scan merged PRs and closed tasks to generate clear, customer-friendly release notes. Automatically publish them in your Notion changelog or send via Slack/email.
Daily Sentiment Radar
Every morning, analyze all conversations for negative sentiment, urgency, or frustration. Then log high-risk cases in Notion, assign owners, and notify the team on Slack.
Inbox Summary Report
Every hour, group new tickets by urgency, topic, and product area. Then post a clean summary into Slack so the team always knows what needs attention.
Reply Drafting Assistant
Every morning, generate ready-to-send reply drafts for all new tickets using your Notion KB + past resolutions. Then save the drafts directly inside Intercom for agents to approve.
Weekly Support Trends
Every Friday, analyze support patterns: recurring issues, rising topics, sentiment changes, and volume spikes. Then publish a structured weekly support report into Notion for product & ops teams.
Ticket-to-Bug Pattern Agent
Every morning, detect recurring bugs from tickets. Then automatically create Jira issues, link relevant conversations, and notify engineering on Slack.
Knowledge Base Builder
Every week, scan solved tickets for new explanations, edge cases, and tutorials. Then auto-generate new KB articles in Notion, including formatting and example messages.
CSAT Insight Agent
Every morning, analyze all CSAT ratings, detect patterns behind good/bad scores, and update your CSAT insights database in Notion with aggregated learnings
Automatic Ticket Tagger
Every morning, classify incoming tickets by theme, urgency, and product area. Then write structured tags directly into Intercom for reporting & routing.
Follow-Up Reminder Agent
Every afternoon, detect all tickets waiting on a customer answer or pending agent reply. Then notify the responsible agents on Slack and set follow-up reminders inside Intercom.
KPI Sync Agent
Every night, collect all key performance indicators from Analytics and operational data from Airtable. After computing trends and deltas, the agent updates your KPI dashboards in Notion.
Weekly Metrics Summary
Every Monday, generate a clean and human-readable summary of traffic, signups, conversion rates, and campaign performance. The agent then creates a new weekly report page in Notion, ready for leadership review.
Data Quality Auditor
Every morning, scan MongoDB and Airtable tables for missing values, duplicates, or format inconsistencies. Then push a structured “Data Issues List” into Monday, assigning owners automatically.
Anomaly Scanner
Every day, detect abnormal movements in traffic, revenue, activation or churn signals. When something spikes or drops, the agent logs the anomaly into Airtable with context + recommended next steps.
Data Normalization
Every night, normalize fields like industry, country, lifecycle stage and IDs across HubSpot and Airtable. The agent then updates Airtable + Monday tables to keep consistent data across all teams.
Data Documentation Writer
Every month, read schema changes, new fields, and table updates from MongoDB + Airtable. Then update or create new documentation pages in Notion, including definitions, owners, and usage notes.
Cohort Analysis Reporter
Every month, analyze retention cohorts from MongoDB and behavior cohorts from Analytics. Then create a full cohort insights page in Notion, including charts, summaries, and strategic recommendations.
Attribution Analyzer
Every Monday, analyze which traffic sources and campaigns actually generated signups, SQLs, and revenue. The agent publishes a clean attribution report into Notion, including what to scale and what to cut.
Warehouse Sync
Every hour, sync updated operational data from Airtable into the warehouse pipeline (MongoDB read remains untouched), and update Monday boards with the latest synced entries to keep operations aligned.
Wall of love
Wall of love
Wall of love
Wall of love
Wall of love
Unlock the power of AI-driven Agents
What is Calk AI ?
Who is Calk AI for ?
What makes Calk AI different ?
How does Calk handle GPT,Claude,Mistral?
What can agents actually automate?
Does Calk replace workflow tools like n8n or Zapier?
Is my data safe with Calk AI?
Why us ?
Why us ?
Why us ?
Why us ?
Traditional automation tools don't cut it any more
Flexilibity
Flexilibity
Flexilibity
Flexilibity
Control
Control
Control
Control
Speed
Speed
Speed
Speed
Cost
Cost
Cost
Cost
Collaboration
Collaboration
Collaboration
Collaboration
Traditional AI Platforms
Locked in vendor systems
Locked in vendor systems
Locked in vendor systems
Locked in vendor systems
No intelligent agent
No intelligent agent
No intelligent agent
No intelligent agent
Slow setup, no integrations
Slow setup, no integrations
Slow setup, no integrations
Slow setup, no integrations
No push actions
No push actions
No push actions
No push actions
Solo chat, no visibility
Solo chat, no visibility
Solo chat, no visibility
Solo chat, no visibility
AI workflow platforms
Time-consuming to maintain
Time-consuming to maintain
Time-consuming to maintain
Time-consuming to maintain
Hard to scale across client accounts
Hard to scale across client accounts
Hard to scale across client accounts
Hard to scale across client accounts
Fragile, breaks often
Fragile, breaks often
Fragile, breaks often
Fragile, breaks often
Expensive to maintain
Expensive to maintain
Expensive to maintain
Expensive to maintain
No natural language agents
No natural language agents
No natural language agents
No natural language agents
Calk AI
Build and adapt in minutes, no code
Build and adapt in minutes, no code
Build and adapt in minutes, no code
Build and adapt in minutes, no code
You own your data, logic, and agents
You own your data, logic, and agents
You own your data, logic, and agents
You own your data, logic, and agents
Ready to use in under 2 minutes
Ready to use in under 2 minutes
Ready to use in under 2 minutes
Ready to use in under 2 minutes
Automate tasks with schedules & triggers
Automate tasks with schedules & triggers
Automate tasks with schedules & triggers
Automate tasks with schedules & triggers
Multi-model AI (GPT, Claude, Mistral, Llama…)
Multi-model AI (GPT, Claude, Mistral, Llama…)
Multi-model AI (GPT, Claude, Mistral, Llama…)
Multi-model AI (GPT, Claude, Mistral, Llama…)
Built for teams with shared workspaces
Built for teams with shared workspaces
Built for teams with shared workspaces
Built for teams with shared workspaces
What is Calk AI ?
Who is Calk AI for ?
What makes Calk AI different ?
How does Calk handle GPT,Claude,Mistral?
What can agents actually automate?
Does Calk replace workflow tools like n8n or Zapier?
Is my data safe with Calk AI?
What is Calk AI ?
Who is Calk AI for ?
What makes Calk AI different ?
How does Calk handle GPT,Claude,Mistral?
What can agents actually automate?
Does Calk replace workflow tools like n8n or Zapier?
Is my data safe with Calk AI?
What is Calk AI ?
Who is Calk AI for ?
What makes Calk AI different ?
How does Calk handle GPT,Claude,Mistral?
What can agents actually automate?
Does Calk replace workflow tools like n8n or Zapier?
Is my data safe with Calk AI?
What is Calk AI ?
Who is Calk AI for ?
What makes Calk AI different ?
How does Calk handle GPT,Claude,Mistral?
What can agents actually automate?
Does Calk replace workflow tools like n8n or Zapier?
Is my data safe with Calk AI?
