Claude is no longer just a chatbot. As of March 2026, Anthropic has built Claude into a layered platform — a conversational AI, a developer environment, and a desktop agent — that companies are using to run real workflows across sales, marketing, product, and operations.

If you're a founder, GTM leader, or operations manager wondering how Claude fits into your stack, this guide breaks down every major surface, what it does, and how to put it to work.

1. Core Models and How to Access Them

Anthropic's current flagship is Claude 3.5 Sonnet — a frontier model with state-of-the-art reasoning, knowledge, and coding benchmarks that's faster and cheaper than the previous Claude 3 Opus. It's available across:

Sonnet is also Anthropic's strongest vision model. It can interpret charts, graphs, images, and even transcribe imperfect scans. For business teams, this means you can drop in screenshots of dashboards, creative mockups, or PDF contracts and have Claude extract data and reason over them directly.

2. Projects: Structured Workspaces for Persistent Context

Projects are structured workspaces inside claude.ai where you attach documents, files, and instructions around a specific initiative — a product launch, an ICP research sprint, a competitive analysis program.

Key capabilities:

Claude Memory: Context That Persists Across Sessions

Claude Memory is a persistent memory layer that lets Claude remember information across sessions, designed with professional workflows in mind:

For GTM teams, Projects + Memory together let you build "always-on" assistants specialized for specific markets, accounts, or playbooks — without re-explaining context every session.

3. Artifacts: From Chat Output to Collaborative Workspace

Artifacts are a second pane in the Claude interface where substantial, standalone content — code, documents, designs — appears and can be edited live alongside the chat.

When you ask Claude for a campaign brief, an email sequence, a landing page, or a data visualization, it renders the output as an Artifact in a dedicated window. You iterate on it in place, version it, and share it — without losing context in the chat.

AI-Powered Artifacts: Build Internal Tools Without Code

Anthropic recently enabled AI-powered Artifacts on all plans (Free, Pro, Max, Team, Enterprise). These embed Claude's intelligence directly into an Artifact, turning it into an interactive mini-app:

GTM angle: Ship self-serve tools for your team (objection-handling coaches, competitive battle cards, quiz funnels) without writing backend code.

4. Claude Code: The Agentic Developer Environment

Claude Code is where things get serious for engineering and technical GTM teams. It's a command-line and IDE-integrated experience that lets Claude work across entire repositories — not just code snippets pasted into chat.

What Claude Code Does

Three Execution Environments

  1. Local: Runs on your machine with full access to your files, tools, and environment. This is the default.
  2. Cloud: Runs on Anthropic-managed VMs — useful for heavy workloads or repos you don't have locally.
  3. Remote Control: Control your local machine from a browser-based UI. The developer counterpart to Cowork's Dispatch.

Code Execution via API

Anthropic also exposes a code execution tool in the API for secure, sandboxed Bash and file operations:

For GTM teams: Claude Code accelerates building lead-routing scripts, analytics transformations, pipeline dashboards, and internal tools. The code execution API is perfect for automated cohort analysis, territory design, quota modeling, and A/B test analysis.

5. Claude Cowork and Dispatch: AI for the Entire Company

Claude Cowork is Anthropic's breakthrough product for non-technical teams. It packages Claude's agentic capabilities for everyday office workers — no terminal or IDE required.

What Cowork Does

Dispatch: Your AI Works While You're Away

In March 2026, Anthropic released Dispatch — a Cowork feature that turns the Claude mobile app into a remote control for your desktop AI agent:

Security is built in:

For GTM leaders on the move: Text your desktop AI to refresh a territory analysis, compile a board update, rebuild a pipeline dashboard, or prepare meeting packets while you commute.

6. MCP: The Universal Integration Layer

The Model Context Protocol (MCP) is Anthropic's open standard for connecting AI models to external tools and data sources — think of it as a universal plugin system.

What this means in practice: Wire Claude Desktop or Cowork into your CRM, data warehouse, analytics tools, or internal systems via MCP servers, then have Claude orchestrate workflows end-to-end.

Agent Skills via API

Agent Skills are versioned, reusable bundles of instructions, scripts, and resources that extend Claude's capabilities:

For GTM teams: Package repeatable playbooks — competitive teardowns, ICP research, outbound sequence design, pitch-deck builders — into reusable, versioned Skills that any internal tool can call.

7. Enterprise Governance and Security

For companies deploying Claude at scale, Anthropic provides a full enterprise security stack:

8. Putting It All Together: Claude for Your GTM Stack

Here's how the pieces map to real GTM workflows:

Projects + Memory → Build a "North America Enterprise" workspace with all decks, win-loss notes, and ICP definitions. Claude acts as a long-term strategist and sales coach that remembers everything.

Artifacts + AI-Powered Artifacts → Create campaign brief builders, persona cards, messaging generators, objection-handling coaches, or interactive ROI calculators as shareable internal tools.

Claude Cowork → Automate weekly GTM reporting packs, assemble renewal dossiers, or prep customer call briefs from scattered files and emails.

Dispatch → Text your Mac to refresh pipeline forecasts, compile board updates, or prepare meeting packets while you travel.

MCP Integrations → Wire Claude into your CRM, data warehouse, or pricing tools so agents pull data, update records, and orchestrate complex GTM workflows.

Agent Skills → Package "GTM playbooks" like competitive teardowns, outbound frameworks, and discovery-question generators into reusable Skills used across your internal apps.

Code Execution + Files API → Automated cohort analysis, territory design, quota modeling, A/B test results, exported as ready-to-use CSVs or visual assets.

Getting Started

The companies seeing the biggest impact aren't trying to use every feature at once. They're picking one or two high-friction workflows — pipeline reporting, competitive research, content production — and building Claude into those first.

Start with a Project. Load your context. Give Claude clear instructions. Then expand from there.

Need help deploying Claude across your organization? At Spicy Advisory, we help startups and scale-ups integrate Claude AI into their product and GTM processes. For enterprise teams, explore our AI adoption programs — from hands-on workshops to full deployment support.