Resources

The thesis, sources, and workflows behind agentic GTM.

Source-backed writing on why SaaS is not dead, how agents will operate existing tools, and what an operator layer should actually do for GTM teams.

Featured

Future of GTM + Product

8 min read

Salesforce Headless 360 + MCP: What TDX Means for GTM Operators

Salesforce is turning its platform into headless infrastructure that AI agents can operate via MCP and APIs. For GTM teams, that shifts leverage from “more tabs” to a governed operator layer that can close loops across the stack.

Headless CRM becomes railsRead more

Point of View

7 min read

Is SaaS Dead? No. SaaS Is Becoming the Data Layer for Agents.

The better read on the SaaS debate is not that Salesforce, HubSpot, Slack, Gmail, Calendar, PostHog, Jira, Zoom, and Gong disappear. It is that agents become the operating layer above them.

SaaS becomes railsRead more

Future of GTM + Product

6 min read

What Is an Agentic Operator Layer?

An agentic operator layer is the surface where a team guides customer work across the existing SaaS stack without manually driving every tab.

Post-call execution definedRead more

Use Cases

7 min read

Why GTM Teams Need One Interface Across Salesforce, HubSpot, Slack, Gmail, Calendar, PostHog, Jira, Zoom, and Gong

Customer-facing work does not respect app boundaries. A call wrap-up, renewal risk, or pre-sales handoff touches many systems, which is why the next interface has to sit above them.

GTM stack unifiedRead more

Point of View

6 min read

AI Agents vs Copilots: Why Execution Matters More Than Answers

A copilot can explain what to do. An agentic operator layer helps the team close the customer loop across the systems where the work lives.

Answers to executionRead more

Use Cases

5 min read

Why Embedded AI Features Will Not Fix GTM Tool Sprawl

Every SaaS vendor is adding AI, but GTM work does not happen inside one vendor boundary. The missing layer is cross-system execution.

Beyond app AIRead more

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