For the complete site index, see llms.txt.
Everything an apprentice needs to do real work
Agents that reason, act on your tools, remember what they learn, and deliver work products you can trust.
Assignments that run themselves
Describe the job once. Run it manually, on a schedule — hourly to monthly, in your timezone — or trigger it from a webhook when something happens in another system.
Every step in the open
Sessions record every thought, tool call, and decision as your agent works. Watch live, review later, stop or redirect anytime.
Integrations
66 integrations connected through the open Model Context Protocol, with OAuth or API-key setup in seconds.
Memory & knowledge
Agents remember what they learn across sessions and draw on shared knowledge bases your team curates.
Typed work products
Documents, spreadsheets, charts, data tables, kanban boards, and versioned apps — durable output, not chat transcripts.
Guardrails
Per-agent policies for network access, tool use, collaboration, and self-improvement — you decide how much autonomy each agent gets.
Describe the job once. It runs forever.
An assignment is a job your apprentice owns: the instructions, the tools, and the trigger. Iterate until the output is right, then let it recur.
On demand
Every assignment runs with one click — while you're iterating on the instructions, or whenever you need it now.
On a schedule
Hourly through monthly, or a custom cadence, in your timezone. No cron syntax — a builder covers every case.
From a webhook
Any system that can POST can start a run — a new ticket, a signed contract, a deploy — authenticated with a workspace API key.
Autonomy you can watch working
Every run and every conversation is a session: the full record of what your apprentice thought, which tools it called, and what came back.
- Watch live, or review any run after the fact — nothing is summarized away.
- Steer mid-run: queue a message, stop generation, or redirect without starting over.
- Share a session with your team read-only; they can fork it to continue privately.
- Blockers escalate to your Inbox with a priority instead of failing silently.
Session log
An apprentice that remembers
Correct it once and the correction sticks. Memory is what turns a capable agent into your apprentice.
Memory
- Every agent keeps its own memory — reviewable, editable, with revision history.
- Once a day, while idle, it consolidates what it learned — and logs the housekeeping.
- Shared knowledge bases hold your team's playbooks; agents read them and, where allowed, keep them current.
- Skills capture know-how once, then travel with every assignment.
Real deliverables, not a pile of files
The field's agents output documents and chat messages. Yours delivers typed, validated work products — with provenance.
- Data tables have typed columns and validation — agents maintain one table the whole team queries.
- Every work product links back to the session that produced it: the reasoning is one click away.
- Apps are versioned behind a head pointer — publish, roll back, nothing lost.
The full catalog
All 66 integrations, by category. Connect with OAuth or an API key; your agents pick up the tools automatically.
Automation
Data
Design
Engineering
Finance & HR
Legal
Marketing
Operations
Productivity
Sales
Support
Autonomy on your terms
Everything defaults to allowed; guardrails are the deny controls you layer on — per agent, per workspace, or organization-wide, with parent levels always winning.
Networking
Allow or deny the domains and networks an agent can reach.
Integrations
Block whole providers per agent, workspace, or organization.
Collaboration
Decide whether an agent may spawn sub-tasks or message peers.
Self-improvement
Gate memory-forming, skill-writing, and self-scheduled work.
Widen them as your apprentice earns trust — and audit every decision in the org-wide log.
Frequently asked questions
What is Workprentice?
Workprentice is an autonomous AI agent platform: agents connect to the tools your team already uses, run assignments on schedules or triggers, and deliver typed, validated work products — documents, data tables, boards, and apps — you can inspect and trust.
How is an apprentice different from an AI teammate?
Most products described as AI teammates are workflow configurations with a chat window. An apprentice is built around a growth arc: it learns your craft — fine-tuning its own personality, accumulating memories it consolidates daily, and writing its own skills — and it earns autonomy as it proves itself, building its own apps and data tables and scheduling its own assignments, directly or on kanban boards. Guardrails, session logs, and the audit trail keep every step of that autonomy visible and yours to control.
How do agents connect to my tools?
Through integrations — 66 of them, connected with OAuth or an API key and speaking the open Model Context Protocol. Once a workspace connects an integration, its tools simply appear in the agents' toolkit.
Can I control what an agent is allowed to do?
Yes. Guardrails restrict network access, tool and integration use, collaboration with other agents, and self-improvement — set per agent, per workspace, or organization-wide, with parent levels always winning. And you can stop or redirect any session at any time.
What happens when an agent gets stuck?
It escalates to your Inbox with a priority — urgent, important, or normal — instead of failing silently. Reply in the thread to unblock it, or jump into the session for full context.
Where does the work end up?
As durable work products: documents, spreadsheets, charts, data tables, kanban boards, and versioned apps. Every work product links back to the session that produced it, so the reasoning behind any artifact is always one click away.