• AUDIT
  • BILLING
  • REVIEW
  • LOGS

How to track billable project hours with your AI

Connect Lancerkit to your AI client once. Your agent then handles the heavy lifting of cross-referencing logs against project scopes.

Ask AI about this page

Short answer

How can I use AI to track my billable hours?

Your AI pulls raw time logs and compares them against project details to find discrepancies. You get a clear view of exactly how much time was spent on specific tasks.

Audit outcomes

Where your audit data lands.

The AI organizes its findings into these specific outcomes.

AUDIT

Discrepancy reports

The AI compares logs to project data. You get a list of hours that don't align with the project scope.

BILLING

Verified totals

The agent calculates final billable amounts. You receive clean numbers ready for your next invoice.

REVIEW

Human oversight needed

When logs look suspicious or incomplete, the AI flags them for you. You decide if those hours are valid or need adjustment.

LOGS

Cleaned time data

The AI filters out non-billable noise. You get a streamlined set of entries that reflect actual project work.

The workflow

What your AI does when the data arrives.

The AI acts as a bridge between your raw time entries and your project management data.

  1. Pulling raw data

    The agent fetches all recent time entries recorded in your system.

    get_time_logs

  2. Fetching project context

    The AI looks up the specific parameters and scope for the project you are auditing.

    get_project

  3. Comparing entries

    The agent matches the time logs against the project requirements to find mismatches.

    get_time_logsget_project

  4. Flagging issues

    The AI identifies specific hours that need your manual review before you send an invoice.

    get_time_logs

Try it

Copy these to start.

Paste these directly into your chat to begin the audit.

Starting points

These are opening lines. Swap out the bracketed text for your actual project or client names.

Lancerkit Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Elzs5KVeJje3ekt7xbflGr9JfgMe5os1b9v5TvBk/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Lancerkit capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lancerkit-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Elzs5KVeJje3ekt7xbflGr9JfgMe5os1b9v5TvBk/mcp"
    }
  }
}
Copy into chat04

  • Audit the time logs for the [Project Name] project and tell me if any hours look off.

  • Compare my recent time logs against the [Project Name] project scope.

  • Check the time logs for [Client Name] and summarize the total billable hours.

  • Find any time entries for [Project Name] that don't match the project's defined tasks.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Lancerkit once, then ask.

You only need to link your account once. Your credentials stay encrypted, and you can immediately start asking questions about your hours in your preferred AI client.

Connect Lancerkit to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my time logs?

    No. The AI can only read your logs to audit them. It cannot edit, delete, or add time entries.

  • 02

    Does the AI automatically send invoices?

    No. The AI identifies the billable hours, but you must handle the actual invoicing yourself.

  • 03

    How does it know which project to check?

    You tell the AI which project to look at in your prompt, and it uses the project data to verify the logs.

  • 04

    Can it find missing time entries?

    Yes, by comparing the work described in the project scope against the logs actually recorded.

  • 05

    Will it flag every single hour?

    No. It only flags entries that appear inconsistent with the project's specific details.

  • More questions about Lancerkit? The Connector page answers them. See everything the Lancerkit Connector can do

Connect Lancerkit to Claude, Cursor, ChatGPT & more