Go-to-market teams spend an absurd amount of time on repetitive work — researching prospects, drafting outreach, updating CRMs, chasing down data across a dozen tools.
We built Gooseworks to change that.
The Problem
Most GTM teams are stuck in a loop: find leads, enrich data, personalize emails, log activity, follow up, repeat. Each step involves a different tool, a different tab, a different mental model. The result? Reps spend less than 30% of their time actually selling.
We asked ourselves: what if an AI agent could handle the grunt work — not as a chatbot you have to babysit, but as an autonomous teammate that just gets things done?
What an Agent Needs to Succeed
Think about what a human employee needs to do great work. When you onboard a new hire, you don't just hand them a laptop and say "go." You give them a specific set of things:
1. Tools
A human GTM rep has an entire stack of SaaS tools at their fingertips — Google to research, Apollo to find leads, LinkedIn for outreach, Canva for assets, a CRM to track everything.
An AI agent needs the same thing. Without tools, it's just a chatbot that can talk about work but never actually do it.
In Gooseworks, tools are powered by the Model Context Protocol (MCP) — a standard for giving agents secure, structured access to your existing stack. Search the web, enrich a lead, update a CRM record, send a Slack message — all through the same interface.
2. A Place to Work
Humans need a workspace — Notion for notes, Google Docs for drafts, Sheets for data, a shared drive for templates. A place to create artifacts, organize information, and build on past work.
An AI agent needs the same thing. Gooseworks gives every agent a workspace — a file-aware environment where it can read your data, create documents, reference templates, and build on previous outputs.
Without a workspace, every task starts from scratch. With one, the agent accumulates context and gets better over time.
3. Skills
A great SDR doesn't just have tools — they have skills. They know how to write a cold email that gets replies. They know how to research a prospect in under two minutes. They have frameworks and playbooks built up over years of practice.
Some skills are general-purpose and transfer between companies — how to write a persuasive email, how to qualify a lead, how to structure a competitive analysis.
But some skills are company-specific, because every organization has its own way of doing things: a particular tone of voice, a specific ICP definition, a custom scoring rubric that doesn't transfer neatly.
Gooseworks skills work the same way — modular, composable capabilities that the agent can invoke. Some come out of the box. Others you teach it, tailored to how your team actually operates.
4. Reasoning and Endurance
Tools, a workspace, and skills are table stakes. But the thing that makes an agent truly useful is the ability to reason about what it's doing and work for extended periods of time.
This is what modern language models bring to the table. Not just pattern matching — genuine multi-step reasoning. The agent can look at a prospect's LinkedIn, cross-reference it with their company's recent news, figure out the right angle, and draft a message that actually makes sense.
And it can do this across hundreds of prospects without losing focus or cutting corners.
A human burns out after 50 personalized emails. An agent with the right reasoning capabilities can sustain that quality across 500, working through complex multi-step workflows for as long as the task requires.
The Role of the Human
So if the agent has tools, a workspace, skills, and reasoning — what's left for the human?
The most important parts: judgment, taste, decision-making, and strategy.
The human decides which accounts to go after. The human sets the tone. The human knows when a deal is worth bending the playbook for. The human orchestrates — pointing the agent at the right work, reviewing the output, and course-correcting when needed.
An agent can execute a hundred tasks with consistency and precision. But it takes a human to know which tasks matter in the first place.
The best GTM teams won't be the ones with the most agents. They'll be the ones where humans focus on strategy and taste, and agents handle everything else.
What is Next
We are rolling out new skills every week — from competitive intelligence to automated follow-up sequences. If you are on a GTM team and tired of the manual grind, we would love to hear from you.
Want to try Gooseworks? Check out our skills library or reach out to the team.