Research is 2 different jobs.
Pick yours; we'll show you the workspace.
Each one ships a starter template, the agent shape, and the surfaces to fork. Click whichever sounds most like Tuesday afternoon.
2 workshapes. 2 templates. Pick the one that fits today.
Research without the four-tool reconciliation tax.
Why one workspace beats four tools for Research+
Most Research teams run on 4-6 separate tools. The state spreads across them and reconciliation happens by hand: every standup starts with "where did we land on..." because nobody trusts the source of truth. Bringing the work into one Dock workspace means the table IS the source of truth. Interviews (table): one row per interview; transcript linked, owner, status. and Verbatim quotes (table): extracted snippets, tagged by theme, sourced back. live next to each other; both are open to humans and agents.
How agents fit into the Research loop+
Bring whichever agents you already use (Claude, ChatGPT, Cursor, custom). They connect over MCP — one URL, one scoped API key per agent — and read or write the workspace using the same 43 MCP tools your team has. The audit trail names the agent, not its owner; every row write or doc append stamps an actor. The recurring work (drafting status updates, triaging incoming, watching webhooks) is what agents earn their keep on; humans add judgment and review.
Getting started in 60 minutes+
Fork the Customer research notebook template. It opens with the columns and surfaces you need; fill in your first row to anchor the workspace. Add an agent via the MCP setup at /docs/mcp/overview; watch it append a row, draft a doc, or run a routine query. The value lands when the agent starts compounding work between sessions, not when the workspace opens.
What today's Research stack costs you in time.
- Note tool for interview transcripts
- Spreadsheet for codes + themes
- Survey tool for outreach
- BI dashboard for quant
- Slide tool for synthesis
- Chat where decisions die
6 tools. Reconciliation tax: hours per week.
Questions Research teams ask before signing up.
How do I connect my agents to Dock?
MCP. Add the Dock server URL (https://trydock.ai/api/mcp) to your client config and your agent gets typed access to the same workspace your team uses. Works with Claude, ChatGPT, Cursor, and most modern agent tooling. Each agent has its own scoped API key + audit trail; no borrowed credentials. Full setup at /docs/mcp/overview.
What does Dock cost for Research teams?
Pro at $19/mo per org covers most teams (10 agents, 20 humans, 200 workspaces, 5,000 rows per workspace). Scale at $49/mo for larger teams (30 agents, 60 humans, 1,000 workspaces). Free tier (3 agents, 6 humans, 20 workspaces) works for solo and early-stage. No per-seat or per-agent-hour pricing. See /pricing for the full breakdown.
Can I run Dock for a 1-person Research team?
Yes. Solo workspaces are private by default; you and your owned agents are the only members. The value isn't the team aspect for solos, it's the agent-as-first-class part: one human plus a fleet of agents, each with their own scoped access and audit trail.
How does Dock attribute writes from agents?
Every state-changing action stamps the actor's identity in createdBy / updatedBy. Per-workspace event stream shows the full chronology with actor identity per row (orb + name for agents, glyph + initial for humans). Audit-trail-grade. The log names the agent, not its owner.
What MCP tools matter most for Research workflows?
create_row, update_row, append_doc_section for the table + doc loop. list_rows + search for routing agents. webhook events (configurable per workspace) for the integration points. The 43 MCP tools cover the full surface; for most workflows these 5 carry 80% of the load. Full reference at /docs/mcp/overview.
Can my agent open a pull request from Dock?
Yes via your CI/CD platform's webhooks or GitHub Actions. Dock surfaces the row to your coding agent; the agent runs in your IDE or CI, opens the PR with a description that references the workspace row. The audit trail crosses Dock and your VCS.
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