Build the working loop,then make it maintainable.

Best for

Teams that need a focused internal tool, product prototype, customer-facing interface, browser extension, API, or desktop workflow.

Possible deliverables

• Product and technical scope
• Working application or prototype
• Deployment and operating notes
• Source code and maintainable handoff

How we move

1. Define the user and acceptance condition
2. Build the smallest complete loop
3. Verify behavior with real inputs
4. Document and harden the useful path

Relevant evidence

Capty, Twitter Translator, Routescope, Apple Price, and WeCom KF AI Agent cover desktop, browser, data, and service surfaces.

Boundaries

We do not turn an undefined wish list into a fixed-price promise. The first scope must have a testable outcome.

Best for

Customer service, content processing, document extraction, research, internal knowledge, and repetitive decision-support workflows.

Possible deliverables

• Workflow and risk map
• Model and provider integration
• Human review and fallback path
• Evaluation inputs and operating documentation

How we move

1. Map the existing human workflow
2. Choose where AI helps and where it must not decide
3. Implement a measurable loop
4. Evaluate failures before expanding

Relevant evidence

WeCom KF AI Agent, Capty, translation workflows, and content-processing systems show model integration close to real work.

Boundaries

We do not promise fully autonomous replacement when the process still needs judgment, permission, or accountable review.

Best for

Companies with valuable knowledge and delivery experience that are scattered across pages, documents, sales material, and private workflows.

Possible deliverables

• Visibility and fact audit
• Entity and content architecture
• Structured service and evidence pages
• Monitoring and iteration priorities

How we move

1. Separate verified facts from claims
2. Map entities, questions, and source assets
3. Publish durable structured pages
4. Monitor visibility and refine evidence

Relevant evidence

This site itself uses bilingual entity pages, project evidence, llms.txt, Sitemap, canonical URLs, and structured data as an inspectable implementation.

Boundaries

GEO cannot guarantee a model citation or ranking. The deliverable is a stronger evidence and information system, not a fabricated result.

Best for

Teams moving information between chats, documents, spreadsheets, browsers, APIs, and recurring reports.

Possible deliverables

• Current-state workflow map
• Automation scripts or service
• Failure and retry handling
• Runbook and ownership boundaries

How we move

1. Measure repeated friction
2. Choose the smallest valuable handoff
3. Automate with visible checkpoints
4. Add monitoring and recovery

Relevant evidence

Archiving, transcription, translation, reporting, and data-extraction workflows demonstrate repeatable cross-tool automation.

Boundaries

Automation should not silently transmit sensitive data or perform irreversible actions without explicit permission and recovery paths.

Best for

Small teams that need a service moved from a local prototype to a stable, inspectable server environment.

Possible deliverables

• Deployment layout
• Nginx, container, or process configuration
• Health and log checks
• Versioned release and rollback notes

How we move

1. Inspect the actual host and constraints
2. Deploy beside the current version
3. Verify locally and publicly
4. Switch traffic with a rollback path

Relevant evidence

The deployment of this Astro site uses versioned releases, Nginx configuration tests, public route checks, and preserved rollback state.

Boundaries

Availability and response-time commitments require an explicit support agreement; they are not implied by a one-time deployment.