For GTM engineers building on Claude
Everything You Need to Build GTM Agents That Deliver Value Fast
The Agentic GTM Stack — the four pieces you've been missing that let you ship your rig to the whole team. Turn the playbooks in your markdown files and the intent in your meeting transcripts into agents that do real work for your reps. No two-year build, no platform to maintain.
Connect Day AI to Claude and you're live on all four at once: memory & knowledge that captures every interaction and every decision; agents & automation that act like real team members, not chatbots; analytics & eval so you know what's working on every level; and a harness & work surface you can drive from Claude Code, with the governance and audit trails a multiplayer GTM org actually needs.
Get What You Need Today
Memory & knowledge, agents & automation, analytics & eval, and a harness & work surface you drive from Claude Code — the four pieces of the Agentic GTM Stack, live on Claude via MCP.
Memory & Knowledge
Every call, email, Slack thread, and calendar event turned into a pre-processed context graph — relationships mapped, sources stamped, ready for an LLM to traverse instead of search. Plus the internal side: the decisions you've made, the playbooks you follow, the docs your team reads. Agents draw on both, so when one asks 'what happened on Northstar,' it gets the full picture — customer interactions and internal reasoning — in one pass, without token burn on retrieval.
Agents & Automation
Standing roles, not one-off prompts. Skills fire on events and schedules — after every meeting, every new inbound, every morning at six. Agents extract action items, update deal fields, draft follow-ups in your voice, and route competitive intel before a rep opens their laptop. And the whole team's agents share the same memory, so what your top AE learns reaches the CSM's agent and the same question gets the same answer across the org.
Analytics & Eval
Know what your agents are actually doing. Skill run quality scores, per-agent output evals, notification engagement, thread outcomes — measure the work your agents produce the same way you'd measure any production system. Then tune the prompts, adjust the schedules, and improve the processes that drive results. What's working, what needs your attention, on every level.
Harness & Work Surface
Ship agents from Claude Code and govern them from a real control plane: per-user permissions, drafts-only boundaries, approvals, and an audit trail behind every action. Speaks Model Context Protocol, so it plugs into any MCP client. And when your team wants to work hands-on, there's a fast, customized web UI to supervise the roster, review what agents produced, and manage rollout across the team. Same foundation, two surfaces.
Get What You Need Today
Memory & knowledge, agents & automation, analytics & eval, and a harness & work surface you drive from Claude Code — the four pieces of the Agentic GTM Stack, ready to deploy today.
What GTM AI needs
The capability bar
What Day AI gives you
Live on Claude via MCP
What You Get, Out of the Box
The Agentic GTM Stack
Best-of-breed in each layer. Pre-integrated on Claude via MCP. Together, they're the difference between an interesting demo and a system your team can actually run on.
Memory & Knowledge
Every call, email, Slack thread, and calendar event turned into a pre-processed context graph — relationships mapped, sources stamped, ready for an LLM to traverse instead of search. Plus the internal side: the decisions you've made, the playbooks you follow, the docs your team reads. Agents draw on both, so when one asks 'what happened on Northstar,' it gets the full picture — customer interactions and internal reasoning — in one pass, without token burn on retrieval.
Agents & Automation
Standing roles, not one-off prompts. Skills fire on events and schedules — after every meeting, every new inbound, every morning at six. Agents extract action items, update deal fields, draft follow-ups in your voice, and route competitive intel before a rep opens their laptop. And the whole team's agents share the same memory, so what your top AE learns reaches the CSM's agent and the same question gets the same answer across the org.
Analytics & Eval
Know what your agents are actually doing. Skill run quality scores, per-agent output evals, notification engagement, thread outcomes — measure the work your agents produce the same way you'd measure any production system. Then tune the prompts, adjust the schedules, and improve the processes that drive results. What's working, what needs your attention, on every level.
Harness & Work Surface
Ship agents from Claude Code and govern them from a real control plane: per-user permissions, drafts-only boundaries, approvals, and an audit trail behind every action. Speaks Model Context Protocol, so it plugs into any MCP client. And when your team wants to work hands-on, there's a fast, customized web UI to supervise the roster, review what agents produced, and manage rollout across the team. Same foundation, two surfaces.
Ski
Built by the Team That Built HubSpot CRM
Day was founded by the original builders of HubSpot CRM. We spent a decade learning what works — and what breaks — when you try to make humans maintain a system of record. We built Day on the conviction that the next generation of GTM infrastructure shouldn't require humans to do data entry at all. The system should remember everything and act on it — so your team can focus on what actually moves deals forward.
Backed by Sequoia Capital. Used by GTM teams replacing and augmenting HubSpot, Salesforce, Pipedrive, Gong, and Affinity.
You're Already Building This. We've Already Built It.
Every GTM team we talk to is trying to solve this problem. The question isn't whether you need the Agentic GTM Stack — memory & knowledge, agents & automation, analytics & eval, and a governed harness & work surface. It's whether you want to spend two years building it yourself, or start with a foundation that's already running in production.
Book a demo to see the four pieces working together — and how they fit into the architecture you're already building on Claude.
Trusted by founders at B2B companies
“My Day AI assistant reminded me about a prospect since it had been 9 days since our demo. I followed up and now the deal is advancing. I wouldn't have followed up today if I hadn't received the nudge, because it had been buried in my deal pipeline.”
Simon Kronenberg
Co-founder & CRO, Digit
“I love Day AI. I can count at least 10+ times where it's sent me reminders in Slack to chase a lead I would've forgotten about and would not have closed without them.”
Nathan May
Founder, The Feed Media
“Day AI captures the connective tissue that usually disappears. That's what lets us build agents with substance, tasks with real understanding, outbound that knows the full journey.”
Christopher Booth
Founder & CEO, Charm