Work back from the result
We settle the result first, then choose the models, tools and workflow.
AI agents for business, delivered
AI agents that get the work done.
We start with one specific job, then design, build and run your AI agents. We choose and maintain the models and tools; you check the results against agreed examples.
- 14-day free pilot
- Acceptance examples for every agent
- Your data never trains models or serves other clients
Request
LSales · LinFeishu
Can you sum up today’s call with Xinghe Manufacturing? What should we do next?
Meeting notes · Oct 22Agent at work
- Read the meeting notes and past conversations
- Look up product material and pricing rules
- List the requirements and open questions
- Draft next steps and a reply
Result
Suggested next steps
- Send the knowledge base demo plan by Friday
- Confirm the trial team: 5 people in procurement
- Add the deployment fee note to the quote
Awaiting owner review3 sources cited
How we work
Delivered against agreed results.
Before each project starts, we agree on acceptance examples with you: which real records to check, who judges, and what counts as done. Delivery is complete only when they all pass.
Tool-neutral
Keep using Feishu or the systems you already have. Clients in mainland China use domestically registered models by default.
Ongoing operation
After launch we maintain, review and improve every month, and adjust the agents when your processes change.
Solutions
Start with work like this.
Each use case defines its inputs, outputs and acceptance checks. These are common starting points; we can also start from other work of yours.
Sales and service
Customer follow-up
Turns conversation records into requirements, reply drafts and next steps.
The client wants a demo next Wednesday and asks how long deployment takes.
3 follow-ups readyDemo slot · Deployment timeline · Trial list
Knowledge and onboarding
Knowledge Q&A
Answers questions from product material and policies, with sources you can check.
Product manualPricing rulesFAQ
Operations
Docs and reports
Spreadsheets, meetings and work notes become weekly reports and to-dos.
Content and marketing
Content drafting
Drafts introductions, proposals and alternative versions from source material, and flags unverified claims.
Working together
Three stages: pilot, rollout, operation.
- 0114 days · Free
Free pilot
Pick one real job, set up one agent and let a small team use it. We review the results together at the end.
- 02Delivered against acceptance examples
Implementation
Agents are delivered in stages, with testing, training and handover notes.
- 03Monthly service
Ongoing operation
Maintenance, reviews and improvements, adding use cases as you need them.
Operations and control
Delivered agents are managed in AgentHub.
AgentHub is the management platform we built. Owners can check each agent’s status, access, conversations, execution records and sequential workflows at any time.
- Set per project who can start a task, which chats an agent works in and which steps need human approval
- Authorized admins can review business conversations and recorded execution steps
- Models are chosen for task quality, speed and budget
Our products
Products we build and run ourselves.
Beyond AgentHub, we build and run products for developers and individuals.
IntHub
Bring goals, checkpoints and durable decisions together. Start the next session with verified state, clear boundaries and a visible next move.
Explore IntHub
WeSaid
Two people who know each other pick questions privately and confirm separately; answers open to both only after both have submitted.
Explore WeSaid
PassBy
Encrypted on device and stored in private iCloud. Organize and use your notebook on iPhone or a trusted computer.
Explore PassByFAQ
Before you start.
We have never used AI. Can we start?
Yes. We learn how you work, pick an approachable task, set up the tools and material, then get your colleagues using it.
Do we have to use AgentHub?
No. If Feishu or your existing tools are enough, we keep using them. AgentHub comes in when you need finer access control, workflows or a specific deployment.
How is our data handled?
We agree on the data scope, viewing permissions and models up front. As your processor we sign a data processing agreement, and your data never trains models or serves other clients.
What happens after the free pilot?
The pilot never turns into a paid plan on its own. After the review we agree on scope, and list implementation, monthly service and third-party costs separately.
Tell us the job you want done.
Bring one real task. Together we will find the first AI use case worth shipping.