# Day AI

> Day AI provides the context graph and agent control plane to quickly and securely upgrade your company brain.

Day AI is the customer memory and agent platform for go-to-market teams. Even the best CRM only holds a fraction of what actually happened with your customers. Day AI is what comes after CRM. It builds a self-updating customer record from every meeting, email, and call, and runs governed agents that create finished work on top of it, with every fact and every action traced to source conversations. It does everything teams use a CRM for, without the data entry, and does what a CRM never could. Agents prospect, prep every meeting, draft follow-ups, keep the pipeline clean, and much more, giving every rep added selling capacity that used to require hiring additional people. It runs as a layer on top of Salesforce or HubSpot or in place of them.

Teams that search for an AI-native CRM find it here too: Day AI does everything a CRM does, and you can run it as your CRM or on top of Salesforce or HubSpot.

## Common questions

- **Is Day AI a CRM?** Day AI does everything teams use a CRM for (people, companies, pipeline, activity history) without the data entry, and adds what a CRM never had: a memory built from every conversation, and agents that do the work. It comes after CRM, so teams can run it on top of Salesforce or HubSpot or in place of them.
- **Who is Day AI for?** Revenue teams at B2B companies, from founder-led startups to scale-ups with a full-time RevOps owner. The Professional agent includes full pipeline and opportunity management, custom properties, views, and pipeline analytics; Executive adds prospecting and advanced custom instructions.
- **Do I have to migrate off Salesforce or HubSpot?** No. Day AI can draft updates back to your existing CRM for review, or replace it once you're ready.
- **Does it work with Claude, ChatGPT, and Cursor?** Yes. Connect any MCP client to Day AI and your agents work from the same customer memory your team does.
- **What does it cost?** Day AI is priced per agent, with no usage-based pricing: Turbo $30, Professional $75 and Executive $250 per agent per month, or $24, $60 and $200 billed annually, with volume discounts. Free teammates cost nothing in a workspace with at least one Professional agent.

## For agents and builders

- [MCP](https://day.ai/mcp): connect Claude and other agents to Day AI over MCP and work with your customer memory from anywhere
- Company brain evaluation skill: run `npx skills add day-ai/company-brain-evaluation` in Claude Code to grade how well your agents know your customers
- [Day AI vs. a DIY MCP stack](https://day.ai/before-and-after): what wiring up your own MCP stack really costs, and the same question answered side by side
- [GTM agent platform](https://day.ai/go/gtm-agent-platform): the context graph and agent control plane for go-to-market
- [Skill trail map](https://day.ai/trail-map): the agent skills Day AI customers actually deploy, from daily essentials to advanced use cases

## Product

- [Home](https://day.ai/): Day agents run your go-to-market around the clock and bring you the finished work to review
- [Customer memory](https://day.ai/customer-memory): the context graph Day AI builds automatically from every call, email, and meeting
- [Agents](https://day.ai/agent): how Day AI agents take on standing roles and deliver finished work
- [Agent workforce](https://day.ai/go/agent-workforce): a coordinated set of sales agents, each with a role, a schedule, and the full history of every customer
- [Use cases](https://day.ai/use-cases): a revenue team building dashboards, pipeline, prospecting, and coaching in real working sessions
- [A day in the life](https://day.ai/day-in-the-life): how sellers work when their customer record has memory, from thirty days of real usage
- [For revenue leaders](https://day.ai/leaders): what your team's conversations are really telling you
- [Pricing](https://day.ai/pricing): per-agent pricing; Professional at $75 per agent/month, or $60 billed annually

## Workflows

- [CRM updates from every call](https://day.ai/go/crm-auto-updates): agents draft Salesforce or HubSpot updates from each call, backed by the verbatim moment, held for review
- [First-call prep](https://day.ai/go/first-call-prep): a brief in Slack the evening before every external call
- [Call to follow-up](https://day.ai/go/call-to-followup): the follow-up email, action items, and manager summary drafted when the recording lands
- [Pipeline from what actually happened](https://day.ai/go/b2b-pipeline): pipeline built and kept current from every email, call, and thread
- [Customer quotes in Linear](https://day.ai/go/bug-context): real customer context attached to the issues your product team works

## Comparisons

- [Day AI vs. Lightfield](https://day.ai/go/day-ai-vs-lightfield): one reconciled customer memory for a revenue team, versus a cockpit for a solo founder

## Integrations

- [Gong](https://day.ai/gong): a customer memory layer built on every Gong conversation
- [Linear](https://day.ai/linear): customer quotes, deals, and revenue at stake inside Linear issues
- [Zapier](https://day.ai/zapier): send any data source into Day AI with no field mapping
- [Zoom](https://day.ai/zoom): connect Zoom, manage recordings, troubleshoot

## Free courses

- [RevOps Foundations](https://day.ai/go/revops-foundations-course): a 14-chapter course for the person who just got the RevOps job
- [Advanced Revenue Operations (with AI)](https://day.ai/go/advanced-revops-with-ai): running go-to-market as an encoded, evaluated, agent-operated system
- [Advanced RevOps, course index](https://modern-revops-course.s3.us-east-1.amazonaws.com/course/advanced-revops/llms.txt): per-chapter markdown links
- [Advanced RevOps, full course in one file](https://modern-revops-course.s3.us-east-1.amazonaws.com/course/advanced-revops/llms-full.txt): every published chapter as plain markdown
- [Advanced RevOps, book edition (PDF)](https://modern-revops-course.s3.us-east-1.amazonaws.com/book/modern-revops.pdf): the designed eBook
- [Advanced RevOps, course kit (zip)](https://modern-revops-course.s3.us-east-1.amazonaws.com/kit/modern-revops-kit.zip): every template and artifact from the course
- [Advanced RevOps in the browser](https://day.ai/courses/advanced-revops): the interactive course site

## Free tools and writing

- [Agent Grader](https://agent-grader.com): ten questions for teams that built their own internal agent system, scored 0 to 100 against what a production agent system needs ([llms.txt](https://agent-grader.com/llms.txt))
- [Life After CRM](https://lifeaftercrm.com): Christopher O'Donnell's essay on why CRM as we know it is ending and what replaces it
- [Get started with Day AI in 5 minutes](https://day.ai/resources/getting-started-in-day-ai): customer memory, your agent's first skill, and connectors
- [Day AI setup guide](https://day.ai/resources/day-ai-setup-guide): from day one to month one, including pipelines, imports, custom properties, and scheduled reports

## Partners

- [Partner program](https://day.ai/partner): build a recurring managed-service business running AI workforces for your clients on Day AI
- [Find a RevOps partner](https://day.ai/revops-partner): get matched with a partner who designs and runs your revenue operations on Day AI

## Guides

- [How to prepare for a sales meeting with AI](https://day.ai/guides/ai-meeting-prep.md): What a sales meeting brief should hold, where homemade prep breaks, how Day AI briefs every meeting, plus a copyable template, a section per attendee, timing, and first-meeting vs renewal examples.
- [The best AI CRM for a startup in 2026, ranked, and what comes after the CRM](https://day.ai/guides/best-ai-crm.md): A ranked roundup of AI CRMs for startups and for teams that already run Salesforce or HubSpot, with what each one does well, sourced from vendor pages in October 2026, and nine criteria for what comes after the CRM.
- [How to build your own context graph for your go-to-market team](https://day.ai/guides/build-a-context-graph.md): A step-by-step guide to building a context graph for go-to-market: sources, identity resolution, storage, retrieval, freshness, MCP access, and where DIY builds break.
- [Should you build your own customer context layer or buy one?](https://day.ai/guides/build-vs-buy-customer-context.md): A decision guide for go-to-market teams: when to build your own customer context layer, when to buy one, what each costs over 6 to 12 months, and a checklist.
- [Context graph vs. RAG vs. CRM: what each one does, and whether AI agents will replace the CRM](https://day.ai/guides/context-graph-vs-rag-vs-crm.md): A CRM, RAG and a context graph compared on one real question: what each stores, when each is the right tool, and whether AI agents will replace the CRM.
- [Day AI vs ZoomInfo GTM AI: two context graphs for go-to-market](https://day.ai/guides/day-ai-vs-zoominfo-gtm-ai.md): Day AI and ZoomInfo GTM AI both call themselves a context graph for go-to-market. One is built from your team's own conversations, the other from ZoomInfo's market data. What each holds, who it fits, and how to run both.
- [How to give Claude Code memory of every customer conversation](https://day.ai/guides/give-claude-code-customer-memory.md): Set up Claude Code to know your customers: CLAUDE.md for standing context, MCP servers for HubSpot, Gong and Gmail, a skill that joins them, and what changes when your team uses it too.
- [How to grade your company's AI agent setup](https://day.ai/guides/grade-your-ai-agent-setup.md): A scorecard for go-to-market agents you have already built: how to test each agent, the ten questions that grade the system around them, where home-built setups break, and how Day AI closes those gaps.
- [How to update your CRM automatically from call recordings](https://day.ai/guides/update-your-crm-from-call-recordings.md): Turn Zoom, Meet, Teams, Granola or Gong recordings into Salesforce or HubSpot field updates: build the pipeline through your CRM's MCP server, or have Day AI run it after every call.
- [Is CRM dead? What comes after CRM is the context graph](https://day.ai/guides/what-comes-after-crm.md): Is CRM dead? Yes. Why a context graph has to replace the CRM, where the market view breaks, and how to switch, with or without ripping out your CRM.
- [What is an AI-native CRM? What the market means, and what it should mean](https://day.ai/guides/what-is-an-ai-native-crm.md): What the market calls an AI-native CRM, with examples like Attio, Lightfield, Folk and Clarify, and what the term should mean: a record that writes itself from your team's conversations, with governed agents that act on it.

## Resources

- [Custom recording assistant name and Post-Sales Handoff skill](https://day.ai/resources/custom-recording-assistant-name-post-sales-handoff-skill.md): Name the meeting recorder after your company, hand closed deals to CS with the Post-Sales Handoff skill, and let your agent put holds on your calendar.
- [Agents can check back in with you later](https://day.ai/resources/agents-can-check-back-in-with-you-later.md): Agents can schedule a check-in on your chat, plus bulk table actions, charts in email notifications, skill edit history, and web browsing for every agent.
- [Microsoft users can now use Day AI](https://day.ai/resources/microsoft-users-can-now-use-day-ai.md): Day AI now supports Microsoft 365: Outlook mail, calendar, and Teams through MCP connectors. Plus Excel uploads and upgrade notification settings.
- [Paste images into Chat](https://day.ai/resources/paste-images-into-chat.md): Paste screenshots straight into chat, bulk-update thousands of records by ID in one import, and smarter meeting and page search.
- [Dashboards Get a Glow-Up](https://day.ai/resources/dashboard-get-a-glow-up.md): Agent-built dashboards get a real widget system: stat tiles, bar lists, heat matrices, and formatted tables, with every number clickable to its records.
- [Custom MCP Connector Support](https://day.ai/resources/custom-mcp-connector-support.md): Every workspace can now register custom MCP connectors for internal tools and vendor endpoints, which work just like the connectors Day AI ships.
- [Talk to Your Agent: Dictation Support!](https://day.ai/resources/talk-to-your-agent-dictation-support.md): Dictate to your agent: the chat composer now has a microphone that streams a live transcript you can edit before you send it.
- [Comments on Call Transcripts, Visualize Deal Momentum](https://day.ai/resources/comments-on-call-transcripts-visualize-deal-momentum.md): Comment on any passage of a call transcript, with your agent in the thread, and see deal momentum charted from meetings, calendar events, and emails.
- [Emails in Opportunity Timelines, MCP Clients Can Create Pages](https://day.ai/resources/emails-in-opportunity-timelines-mcp-clients-can-create-pages.md): Opportunity timelines now show related emails, MCP clients can create Pages, plus a PandaDoc connector and timestamps in copied transcripts.
- [Your Agents Now Work as a Team, Customize Your Record Views](https://day.ai/resources/your-agents-now-work-as-a-team.md): Agents now hand work to the teammate agent or skill best suited to it, and fan multi-part tasks out to specialists. Plus customizable record views.
- [Agents Now Have Chat History and Pages Directly Attached to Skills](https://day.ai/resources/agents-now-have-chat-history-and-pages-directly-attached-to-skills.md): Your agent can now search your past conversations and cite the exact message, and skills can have Pages attached directly.
- [Ultimate AI Company Brain, and Agents Who Learn Your Voice](https://day.ai/resources/ai-company-brain-agents-learn-your-voice.md): How to build a multiplayer AI company brain with Obsidian and Claude Code, and why agents in Day AI now learn to write in your voice.
- [Take your agent beyond the chat](https://day.ai/resources/take-your-agent-out-of-the-chat.md): Answering questions is just the start. Give your Day AI agent skills: recurring jobs it runs on a schedule or on events, working from your customer memory.
- [What Is Customer Memory? (And Why It's Not the Same as a Database)](https://day.ai/resources/what-is-customer-memory.md): Customer memory is a continuously updated record of everything in a customer relationship, built from real conversations. How it differs from a database.
- [The Agent Origin Story and Emails in Timeline](https://day.ai/resources/the-agent-origin-story-and-emails-in-timeline.md): How a morning briefing nobody was supposed to reply to shaped Day AI's agent architecture. Plus emails in the Timeline.
- [What Is a Context Graph? A Plain-English Explainer](https://day.ai/resources/what-is-a-context-graph.md): Context graphs connect your customers, deals, and conversations into one living network, so AI agents retrieve real context, not just records. A plain-English breakdown of what a context graph is, why it beats flat tables, and what it takes for AI agents to actually use it. What a context graph actually is, why it beats flat CRM tables, and what AI agents need from it that most databases don't have.
- [CRM Was Built For Humans - That Era Is Over](https://day.ai/resources/agent-templates-workspace-instructions.md): Why CRM built for humans can't keep the decision trace agents need. Plus agent templates and workspace instructions for setting up specialist agents.
- [Software Can Read, You Can @-mention and /-command in Pages](https://day.ai/resources/software-can-read-you-can--mention-and--command-in-pages.md): Software can read now, so every conversation can close its own loop. Plus @-mentions and /-commands in Pages.
- [Clone Your Best Rep, Tables, Images, and more](https://day.ai/resources/clone-your-best-rep-tables-images-and-more.md): The next chapter of GTM engineering is cloning your best rep. Plus rebuilt, agent-editable tables on Pages, images, and more from this week's release.
- [Claude for GTM. Spoiler: The Safe Bet Isn't Building It Yourself](https://day.ai/resources/claude-for-gtm-spoiler-the-safe-bet-isnt-building-it-yourself.md): The five levels of building go-to-market on Claude yourself, where DIY setups stall on data, permissions, and quality, and when buying is the safer bet.
- [Get started with Day AI in 5 minutes](https://day.ai/resources/getting-started-in-day-ai.md): Get started with Day AI in five minutes: meet your customer memory, learn what your agent can do, and find the guides to go deeper on each topic.
- [Bind your software development directly to the voice of the customer](https://day.ai/resources/bind-your-software-development-directly-to-the-voice-of-the-customer.md): Day AI feeds Linear's customer requests automatically, tying every feature request and bug to the customers, deals, and conversations behind it.
- [Software Can Read Now. What That Means for Every Tool Your Company Uses.](https://day.ai/resources/software-can-read-now.md): Every business tool was built on one assumption: a human reads, then types the data in. AI just removed that requirement, and CRM is just where it shows first.
- [Skills](https://day.ai/resources/skills.md): How skills work in Day AI: the prompt, trigger, connectors, and notifications that let an agent run a specific workflow, and how to create and refine them.
- [Admins can create and manage Skills across Agents and a lot more](https://day.ai/resources/admins-can-create-and-manage-skills-across-agents-and-a-lot-more.md): The Skill Library is live: admins can now create managed skills, lock their logic, and deploy them across every agent in the workspace.
- [Gong & Granola](https://day.ai/resources/gong-granola.md): One click to pull your entire history of Gong and Granola recordings, transcripts and notes into Day AI's customer memory graph, automatically linked to the correct records.
- [Data Privacy & Sharing](https://day.ai/resources/data-privacy-sharing.md): How to control what Day AI can see: the four data sources, workspace versus private access, what each sharing setting does, and how it affects automation.
- [Day AI Meeting Recording Bot](https://day.ai/resources/meeting-recording-bot.md): How Day AI's meeting recording bot works: when it joins Zoom, Google Meet, and Teams calls, who can see what it captures, and how to control or pause it.
- [Integrations & Connectors](https://day.ai/resources/integrations-connectors.md): Everything you can connect to Day AI, the difference between integrations and MCP connectors, what each one syncs, and how to troubleshoot a connection.
- [Day AI's MCP Client, Agent Code Execution, Charts and more](https://day.ai/resources/mcp-client-code-execution.md): Bring Linear, Notion, and HubSpot into any chat, Agent Reporting tools, Search improvements
- [Agents without memory are just prompts. Day AI is customer memory for agents](https://day.ai/resources/announcing-customer-memory-for-agents.md): Day AI is launching customer memory for agents. Every conversation, commitment, and relationship your company has ever had, captured automatically so your agents already know what matters.
- [What building the Gong integration taught us about who needs customer memory most](https://day.ai/resources/day-ai-gong-integration.md): Your team is already pulling Gong transcripts into Claude by hand. Day AI connects directly and does it automatically. Every call, every time.
- [Assistant in your inbox, meeting-triggered skills](https://day.ai/resources/assistant-in-your-inbox-meeting-triggered-skills.md): Talk to your assistant directly from your inbox. Reply to any skill email to ask follow-ups or adjust the output.
- [Assistant memory, record deletion, and UX improvements](https://day.ai/resources/assistant-memory-record-deletion-and-ux-improvements.md): We're building Day AI to work more like an actual person alongside you.
- [Cursor for CRM: How Pydantic Runs Sales with an AI-Native Workflow](https://day.ai/resources/cursor-for-crm-how-pydantic-runs-sales-with-an-ai-native-workflow.md): Pydantic's VP of Partnerships Chris Samiullah switched from a legacy CRM to Day AI and never looked back. In this conversation, he shares how an AI-native workflow replaced hours of manual analysis, keeps him prepared for every meeting, and gives his entire team better visibility into customers, competitors, and pipeline health.
- [Persistent chat, unified controls, and smarter imports](https://day.ai/resources/persistent-chat-unified-controls-and-smarter-imports.md): Day AI product update: Persistent chat side panel, unified board and table controls, CSV import transformations, and flexible schedule destinations.
- [File uploads, prospect search, people custom properties](https://day.ai/resources/file-uploads-prospect-search-people-custom-properties.md): Day AI product update: File uploads, prospect search with enrichment, pipeline board filtering and search, custom properties on People, and assistant schedule management.
- [Series A, and the beginning of the shift in CRM](https://day.ai/resources/series-a-and-the-beginning-of-the-shift-in-crm.md): Day AI announces a $20M Series A led by Sequoia Capital and the launch of CRMx - a CRM built so AI understands your customers, your business, and acts.
- [Day AI Setup Guide](https://day.ai/resources/day-ai-setup-guide.md): A step-by-step setup guide for Day AI: connect email and calendar, set sensitivity rules, record meetings, build pipelines, and add teammates.
- [Your assistant posts to Slack channels, cleaner tables, floating meeting controls](https://day.ai/resources/your-assistant-posts-to-slack-channels-cleaner-tables-floating-meeting-controls.md): Your Day AI assistant can now post scheduled updates directly to Slack channels. Plus cleaner tables, floating meeting controls, and smarter follow-through.
- [Write emails without the copy-paste workflow](https://day.ai/resources/write-emails-without-the-copy-paste-workflow.md): Write emails 10x faster without the copy-paste workflow. Day AI drafts emails with full customer context and your communication style—no switching tools.
- [Customize Day AI to your business](https://day.ai/resources/customize-day-ai-to-your-business.md): Ask your Day AI assistant to create custom properties, tune prompts, and build filtered views—all through conversation.
- [Chat with your Day AI Assistant in Slack](https://day.ai/resources/chat-with-your-day-ai-assistant-in-slack.md): Chat with your Day AI assistant directly in Slack. Ask anything, create actions, and update your CRM without switching context.
- [Citations and assistants run in the background](https://day.ai/resources/citations-and-assistants-run-in-the-background.md): Your Day AI assistant continues working when you switch tabs, and new citations show exactly where answers come from in your meeting recordings.
- [Day AI SDK for custom integrations and automations](https://day.ai/resources/day-ai-sdk-for-custom-integrations-and-automations.md): Build custom CRM integrations with Day.ai's new SDK. Access meeting transcripts, automate actions, and sync data using the same tools as our AI assistant.
- [Weekly Assistant schedules, pipeline improvements, and email templates](https://day.ai/resources/weekly-assistant-schedules-pipeline-improvements-and-email-templates.md): Day.ai CRM features weekly automated reports, flexible pipeline management, and intelligent email templates. Schedule assistants to deliver insights, reorganize sales stages without manual work, and create adaptive email templates that maintain your voice.
- [We're sunsetting Gmail auto-drafts (and replacing them with something way better)](https://day.ai/resources/were-sunsetting-gmail-auto-drafts-and-replacing-them-with-something-way-better.md): Day AI Assistants create personalized follow-up emails using meeting context, custom templates, and CRM data. Fits your natural workflow.
- [Introducing Day AI Assistants](https://day.ai/resources/introducing-day-ai-assistants.md): Day AI is an AI-native CRM that automatically organizes your meetings, emails, and conversations into structured data. No manual entry required. Built-in AI assistants handle tasks, automate workflows, and generate reports through simple conversations.
- [New: Now Day AI fits your business](https://day.ai/resources/new-now-day-ai-fits-your-business.md): Day.ai adapts to your business with AI-native customization. Create custom fields that auto-populate from conversations and web research, build filtered views that match your exact workflows, and import data seamlessly with intelligent mapping. Unlike traditional CRMs, Day.ai provides reasoning and sources for every update—customization with verification built in.
- [New in Day AI: Pipeline Notifications, Compose and Send Email, and Dark Mode](https://day.ai/resources/new-in-day-ai-pipeline-notifications-compose-and-send-email-and-dark-mode.md): Pipeline Notifications that push opportunity updates directly to Slack, built-in Email Compose & Send functionality eliminating copy-paste to Gmail, and Dark Mode for those late-night work sessions. Each enhancement addresses specific friction points, making your CRM experience more seamless and transparent than ever.
- [Ask Day AI and get answers with Threads](https://day.ai/resources/ask-day-ai-and-get-answers-with-threads.md): Ask questions in natural language and get instant, contextual answers from your emails, meetings, and Slack conversations. No more clicking through endless tables and filters. Generate emails and docs directly from your conversations. Day.ai is the CRM that works like you think, not how databases are structured.
- [How AI Native CRM will be different than traditional CRMs](https://day.ai/resources/how-ai-native-crm-will-be-different-than-traditional-crms.md): Traditional CRM systems remain trapped in an outdated era of simplified data models. Learn how AI-native CRM represents a revolutionary transformation, not just an upgrade, enabling businesses to capture the full richness and complexity of customer relationships in ways legacy systems never could.
- [Never miss a follow up again with Action Notifications in Slack](https://day.ai/resources/never-miss-a-follow-up-again-with-action-notifications-in-slack.md): Day.ai delivers Action Notifications directly in Slack, ensuring you never miss critical follow-ups from meetings, emails, and conversations. Get smart reminders, draft responses with full context, and automatically mark completed items—all without switching platforms.
- [Our Playbook for Announcing Our Seed Funding at Day AI](https://day.ai/resources/our-playbook-for-announcing-our-seed-funding-at-day-ai.md): Our Seed Funding announcement generated 4,000+ waitlist signups in the first 72 hours, and the momentum has continued for months following the announcement. Here's what we learned along the way.
- [Introducing Reports & Analytics](https://day.ai/resources/introducing-reports-analytics.md): Early-stage GTM teams shouldn't have to build custom reports just to see basic metrics like weighted forecasts and time in stage, and when it comes time to ask “why”, you shouldn’t need to gather information from multiple places to copy-paste into Claude or ChatGPT.
- [Using AI to build better products - The AI Diamond playbook](https://day.ai/resources/using-ai-to-build-better-products-the-ai-diamond-playbook.md): Transform your development workflow by partnering with AI at every stage. Practical strategies for using AI as a sponge for context, a brainstorming partner, a code cleaner, and a polishing tool - while knowing when to take the reins yourself.
- [Solving problems with CRM in an AI-native way - "Deal Import" example](https://day.ai/resources/solving-problems-with-crm-in-an-ai-native-way-deal-import-example.md): Day.ai takes a smarter approach to CRM migration. Instead of importing stale deal data, it analyzes your actual conversations to build an accurate picture of your business relationships.
- [The Danger of the Startup Wedge](https://day.ai/resources/the-danger-of-the-startup-wedge.md): Why we rejected the startup wedge strategy to build a complete AI-native CRM from day one, avoiding the brand, business model, and cultural traps that can limit startup growth.
- [Building The AI-Native CRM at Day AI](https://day.ai/resources/building-the-ai-native-crm-at-day-ai.md): Day.ai is reimagining CRM for the AI age - moving beyond rigid fields and automations to a system that automatically understands relationships, connects conversations across platforms, and intelligently guides your next steps.
- [The AI-native way to bring your deals into Day AI](https://day.ai/resources/the-ai-native-way-to-bring-your-deals-into-day-ai.md): Stop manually importing and updating CRM deals. Day.ai automatically creates accurate opportunities by analyzing your team's actual conversations, keeping your pipeline real and up-to-date.
- [Find anything in Day AI without losing your place](https://day.ai/resources/find-anything-in-day-ai-without-losing-your-place.md): Day.ai's new Command+K search instantly finds anything across your data, while smart sidebars let you explore customers and deals without losing your place or breaking your flow.
- [Search for meeting recordings, improved sidebar navigation](https://day.ai/resources/search-for-meeting-recordings-improved-sidebar-navigation.md): Search every recorded meeting, see AI's reasoning behind opportunity stages, and hover for instant context about customer roles. Plus: back/forward navigation eliminates the '20 open CRM tabs' problem.
- [New controls for meeting recording](https://day.ai/resources/new-controls-for-meeting-recording.md): Day.ai now gives you complete control over meeting recordings: start early, remove the assistant instantly, and see real-time status—even when you're not the host.
- [Enrichment and 3 more quality of life improvements](https://day.ai/resources/enrichment-and-3-more-quality-of-life-improvements.md): Day.ai now enriches contact data more accurately, transcribes meetings in 20+ languages while keeping summaries in English, and automatically adapts to rescheduled meetings.
- [Notes gather dust, Context takes action](https://day.ai/resources/notes-gather-dust-context-takes-action.md): Unlike CRM notes that just sit there, Day.ai Context actively shapes how your CRM understands customers. Every observation you add—from coffee chats to hunches—automatically improves summaries and influences actions.
- [Day AI understands your customer conversations in Slack](https://day.ai/resources/new-day-ai-understands-your-customer-conversations-in-slack.md): Day AI automatically captures your Slack conversations in your CRM, giving you complete visibility of customer interactions and follow-ups across all channels.
- [Day AI raises $4M from Sequoia Capital to Reimagine CRM for the AI Age](https://day.ai/resources/day-ai-raises-4m-from-sequoia-capital-to-reimagine-crm-for-the-ai-age.md): Former HubSpot product leaders unveil Day AI, an AI-native CRM backed by Sequoia Capital.

## Videos

- [Three questions RevOps leaders should ask about their company brain](https://day.ai/videos/revops-company-brain-questions.md): Christopher O'Donnell at Vector 2026 on what a company brain is made of and the three questions RevOps leaders should take back to their teams.
- [How a folder becomes an AI harness with skills and agents](https://day.ai/videos/folder-to-ai-harness.md): Christopher O'Donnell on solving hard problems from a folder: how it becomes a harness, how skills and agents form, and what a team needs on top.
- [Why CRM data is low resolution](https://day.ai/videos/why-crm-data-is-low-resolution.md): Why a CRM keeps a compressed copy of each deal when every field is a bet that someone fills it in, and what changed once models could structure conversation.
- [How to set up two AI agents for one sales rep: a CRM updater and a coach](https://day.ai/videos/two-ai-agents-per-sales-rep.md): Design an agent like a hire, write the stage rules first, then give each rep one agent that keeps Salesforce current and one that ranks their day.
- [How to build an agent loop that finds the deals a CEO can help move](https://day.ai/videos/ceo-deal-assist-loop.md): Why Claude with only Gmail writes a generic deal email, and how Claude Code with customer memory builds a weekday loop that drafts the CEO's next move.
- [How to turn a Claude Code and Obsidian second brain into a brain for the whole team](https://day.ai/videos/second-brain-to-team-brain.md): Claude Code turns a folder of notes into a linked Obsidian vault in an afternoon. The video builds one, then shows what a team needs once all its calls go in.
- [What it takes to build a go-to-market AI stack on Claude yourself](https://day.ai/videos/diy-claude-gtm-stack-levels.md): Five levels of a do-it-yourself go-to-market stack on Claude, from MCPs in a chat window to agents acting on every email and meeting, and where each gets hard.
- [How to get AI-drafted sales emails that sound like you](https://day.ai/videos/ai-emails-that-sound-like-you.md): Why AI-drafted emails fall flat, and how a customer's full history plus written instructions for the situation produce drafts that sound and act like the sender.

## Optional

- [About](https://day.ai/about): co-founded by Christopher O'Donnell (former HubSpot CPO) and Michael Pici
- [Series A](https://day.ai/resources/series-a-and-the-beginning-of-the-shift-in-crm): $20M led by Sequoia Capital, and general availability, February 2026
- [Trust center](https://day.ai/trust): SOC 2 Type II, privacy, and data handling
- [Subprocessors](https://day.ai/trust/subprocessors)
- [Support](https://day.ai/support): email support@day.ai
- [Careers](https://day.ai/careers)
- [Privacy](https://day.ai/privacy), [Terms](https://day.ai/terms), [DPA](https://day.ai/dpa)