Eric|晓峰
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Do not buy technology first. Decide which part of the workflow deserves change.

The objective is to reduce repeated work, information gaps, and dependence on individuals. AI, desktop software, web tools, and hardware are implementation paths.

Discuss the current problem
01
AI Workflow Automation
Turn repetitive intake, research, drafting, handoff, and follow-up work into AI-assisted workflows with clear human checkpoints.
Common problems
  • The same information is copied across several tools
  • Key steps depend on one person's memory and are hard to hand over
Expected outcomes
  • Define which steps AI handles and where people remain accountable
  • Establish a repeatable workflow with visible exceptions
02
Internal Tools and Desktop Systems
Build software around the way the business actually operates when spreadsheets, scripts, and generic SaaS no longer hold together.
Common problems
  • Spreadsheet versions and permissions are becoming difficult to control
  • A script only works for its original author and is expensive to troubleshoot
Expected outcomes
  • Put core operations behind a clearer interface and data model
  • Reduce onboarding, troubleshooting, and handoff cost
03
Device, Data, and AI Integration
Connect existing devices to dependable data collection, control, teaching, operations, or AI-assisted workflows.
Common problems
  • Devices run, but their data never reaches the business workflow
  • Firmware, curriculum, and operating instructions drift apart
Expected outcomes
  • Standardize device communication, configuration, and telemetry
  • Establish reusable deployment, troubleshooting, and content-update practices

Good reasons to start a conversation

A workflow repeats every week and consumes noticeable staff time

Only a few people know critical steps, making handoff and growth fragile

Spreadsheets, scripts, or generic SaaS no longer support the operation

AI is already used without stable inputs, approval, or operating records

Shared working method

  1. 1
    Review the current process and owners
  2. 2
    Validate one frequent step
  3. 3
    Keep human approval and exception exits
  4. 4
    Iterate from operating records

Explicit limits

  • Not every problem is presented as an AI project
  • No percentage outcome is promised without real data and operating conditions
  • Payments, commitments, sensitive data, and high-risk decisions keep human approval
  • No fixed public pricing before scope, value, and maintenance are understood

Model access is infrastructure, not the primary positioning

Provide model-access, key-policy, and availability guidance for teams with a defined AI use case.

Frequently asked questions

Can we start without a formal process document?

Yes. The first conversation reconstructs how the work is actually done; a polished requirements document is not required.

Do we need to replace our existing software?

Not necessarily. Existing spreadsheets, documents, email, chat, and business systems are reused before a new tool is proposed.

Can we discuss a very small internal tool?

Yes. Small, frequent problems are often the best place to start when the users, frequency, and expected result are clear.

Can the tool run locally without uploading data?

Yes. Desktop and local-first approaches are available, with tradeoffs evaluated against maintenance and collaboration needs.

What if we have hardware but incomplete technical documentation?

A device and interface audit can come first, but missing documentation directly affects the schedule and feasible scope.

Does the solution have to include AI?

No. Device, data, and control reliability come first; AI is added only when it creates a practical benefit.

Human conversation

Clarify the problem before deciding whether development is needed.

Add me on WeChat or send an email. Xiaofeng personally reviews the business context.

Useful context
  • Your business and users
  • The most repetitive or error-prone step
  • The outcome you want
  • Your rough timing

Read and replied to by Eric Xiaofeng personally. No instant-response or auto-generated solution promise.

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