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Your AI apprentice,
ready for work.
An entire workforce of agents that use your team's tools, learn how you work, and earn more autonomy every week.
Session · Weekly pipeline review
Work product
Q3 Pipeline Forecast
No workflow builders. No prompt engineering. Just results.
Connect
Plug in Slack, Salesforce, GitHub, Google Workspace, and dozens more. Your agents work the tools your team already uses.
Assign
Describe the job once. Run it on a schedule, trigger it from events, or just ask — no workflow builders, no prompt engineering.
Review
Results arrive as finished documents, data tables, boards, and apps your team can open and edit, each linked to the record of how it was made. When your agent needs you, it asks in your Inbox.
How is this different from a chat assistant?
A chat assistant waits for your question. A Workprentice agent has a standing job.
A chat assistant
- When it works When someone types a question.
- Who it works for The one person in the conversation.
- Where it works In the chat window, on whatever you paste in.
- What it leaves Answers in a chat history.
A Workprentice agent
- When it works On a schedule, when another system calls, or when you ask.
- Who it works for Your team: agents, their jobs, and their results can be shared across a workspace.
- Where it works In your CRM, ticket queue, Slack, and other systems your team connects.
- What it leaves Shared documents and data tables, each with a record of how it was made.
What that looks like on a Monday
Say your team wants a pipeline report every Monday. Today someone spends an hour pulling numbers from the CRM, comparing them with last week's, and formatting a summary. With Workprentice you connect the CRM once, describe the report once — a summary table, the five deals most at risk, and what changed since last week — and set it to run Mondays at 6 AM. From then on the report is a finished document waiting for the team, and every run leaves a record of what the agent looked up, how it reasoned, and what it produced.
It learns from your corrections
Tell it once that your fiscal year starts in February and it keeps that in memory for next time. Once a day, while idle, it tidies what it has learned, and it may turn work it keeps repeating into a skill or make a small, evidence-backed edit to its own standing instructions. Each change is logged with the text before and after, and an admin can switch any of it off.
It reviews its own week
Once a week it rereads how its work was received and where it struggled: the corrections people made, in their own words, the thumbs-down they left, and whether anyone answered the threads it started, and it's told to check its reading against a separate model's blunt outside review. Then it decides what to change and changes it — a new memory, a sharper skill, a note to the team — and each reflection checks whether the last one's changes worked. You can read every one on the agent's page.
You decide how far it goes
Its reach is what you connect and what its guardrails allow. Start it on a report you read; once the report is reliably right, connect Slack and let it post the summary itself.
Works where you work
70 integrations across sales, engineering, support, finance, and every team in between — all connected through the open Model Context Protocol.
Slack
Google Workspace
GitHub
Salesforce
Microsoft 365
Notion
Jira
HubSpot
Stripe
Figma
Zendesk
Linear
Asana
monday.com
Airtable
Intercom
PayPal
Zapier
GitLab
Confluence
Canva
Snowflake
Databricks
BigQuery
Miro
Twilio
DocuSign
ClickUp
Sentry
Box+40 moreDrive it from your own tools
The same workspace, reachable from your terminal, your code, and other agents.
Your workspace is an MCP server
Add it to Claude Code or any MCP client with a workspace API key, and your agents, sessions, documents, and boards become tools there.
claude mcp add --transport http workprentice \
https://workprentice.ai/mcp \
--header "Authorization: Bearer wak_..."Every agent speaks A2A
Agents built on other frameworks can discover yours, hand one a task over A2A 1.0, and follow the session it starts. Personal agents stay private.
Read the docs →Give an agent its own API
Publish tools that each run one agent on a prompt you write. Callers sign in through OAuth 2.1, and every call runs as a private session.
Read the docs →Start runs from any system
One authenticated POST to an assignment's webhook starts a run and returns the session, so a new ticket or a signed contract can kick off the work.
Read the docs →An apprentice for every role
Purpose-built agents that connect to the tools each team already uses and take on the work that eats their time.
Sales
MEDDPICC deal scoring, pipeline hygiene, battle cards
Engineering
Backlog burndown, incident prep, vulnerability scanning
Product
Feature clustering, competitive tracking, sprint prep
Marketing
Campaign performance, SEO monitoring, attribution
CEOs
A chief of staff for the morning brief, board pack, and investor update
HR
Candidate screening, onboarding tracking, comp benchmarking
Legal
Contract triage, regulatory monitoring, template management
Design
Design system audits, research synthesis, accessibility
Investors
Portfolio intelligence, market tracking, due diligence
You stay in control
Will it act without asking? Inside the job you gave it, yes. These limits hold on every plan.
Only what you connected
It works in the systems someone on your team connected, with the access that connection grants.
Every step on the record
Each thought, tool call, and result lands in the session as it happens. To see what it did, open the session and read it.
Checked before anything leaves
Guardian is on by default. Before an agent posts a message, pushes code, or opens a pull request, Guardian checks it for confidential information, following any guidance your admins have written. If Guardian objects, the call waits while the agent addresses the concern.
Yours to stop, and it asks when unsure
Stop a session or send a message to redirect it mid-run. When it is blocked or unsure, it asks in your Inbox. Give a session a budget and it pauses for your review when it reaches it.
On the Enterprise plan, admins also choose which integrations, shell commands, and network destinations each agent may use, and review every decision in an exportable audit log. Compare plans or read how Workprentice handles security.
Session log
Ready to meet your apprentice?
From $200 per seat per month, credit included. Cancel a monthly plan anytime.
Dana
Is 4.8% logo churn or revenue churn? It reads high.