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CDB Logic

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// Work

Useful by design.
Distinct by nature.

A closer look at the workflows behind the software: what needed to change, what was built, and how the pieces fit together.

01 / Featured system · Internal operations

When every proposal starts from a blank page, pricing decisions and handoffs become harder to keep consistent. This workspace brings the path from request to quote into one guided flow.

Illustrative artwork representing the quoting workspaceWORKFLOW STUDY / SMART QUOTING

Inside the workflow

  1. 01

    Capture the request

    A guided intake keeps the information needed for a quote in one place.

  2. 02

    Apply pricing logic

    Structured inputs carry the pricing rules through the same workflow.

  3. 03

    Build the proposal

    The quote becomes an output the sales team can review and share.

  4. 04

    Hand off clearly

    The next team receives a cleaner record of what was proposed.

Built around structured inputs, visible pricing logic, proposal output, and a cleaner handoff. Project artwork is illustrative; private workspace screens are not shown.

Discuss a similar workflow

Fulfillment workflow

Order entry workspace for operations

Order entryWorkflowOperations

Problem

Order details were spread across messages, notes, and repeated entry steps.

Built

A focused order entry interface designed around the information operations actually needs to move work forward.

Result

Cleaner capture, fewer back-and-forth questions, and a more reliable operational record.

AI systems

Automated content and publishing pipeline

AI workflowContent systemAutomation

Problem

Recurring content work needed structure, repeatability, and review before publishing.

Built

A generation pipeline that creates drafts, images, metadata, and publishing-ready assets with human oversight.

Result

A repeatable system for turning topics into posts without starting from a blank page every time.

Discovery tools

Local service discovery experience

SearchLocal businessProduct UX

Problem

People needed a faster way to compare practical local service options without digging through cluttered results.

Built

A lightweight discovery interface shaped around neighborhood-level search and clear comparison points.

Result

A more direct path from need to useful local options.

Trust signals

Built for teams that need usable software, not theater.

The work is strongest when the system supports a real workflow, gives people clarity, and keeps important business logic easy to reason about.

CDB Logic

Built for real operational workflows

CDB Logic

Human review where AI needs guardrails

CDB Logic

Private/internal tools supported

CDB Logic

Fast prototypes with production paths

CDB Logic

Clear handoffs and audit-friendly flows

CDB Logic

Business logic kept visible

Have a similar workflow?

Describe the messy version. That is usually where the useful system starts.

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