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AI agent for land surveyors

Control Network Adjustment Review Agent

Confirm the control network meets the accuracy standard, with weak points fixed.

Control Network Adjustment Review Agent: what goes in, what the agent does and what you get

What it does

Control errors stay hidden until the final check, and then the whole job suffers. This agent reads the raw observations, such as angles, distances and GNSS vectors, and runs a least squares adjustment. It checks residuals and error ellipses, flags blunders and weak geometry, and recommends which observations to repeat. After new data arrives, it reruns the adjustment and checks again. It continues until the network meets your standard. You approve the adjusted values. Edge case: one distance has a residual 5 times the others because the prism height was entered wrong, and the agent identifies it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueApprovedNoNo 1 STARTS WHEN Control observations are downloaded 2 USES A TOOL Read the raw observations and settings 3 USES A TOOL Run a minimally constrained adjustment 4 DOES Check residuals, error ellipses and referencevariance 5 CHECKS THE RESULT Are there blunders or weak geometry? If not: List the observations and points with the worstvalues. Back to step 4. 6 DOES Recommend which observations to repeat or add 7 YOU APPROVE Surveyor approves the re-observation plan 8 USES A TOOL Add the new data and rerun the adjustment 9 CHECKS THE RESULT Does the network now meet the standard? If not: Repeat the review of the worst residuals. Backto step 4. 10 YOU APPROVE Surveyor approves the adjusted values 11 RESULT Adjustment review report
Read the steps as a list
  1. Control observations are downloaded
  2. Read the raw observations and settings
  3. Run a minimally constrained adjustment
  4. Check residuals, error ellipses and reference variance
  5. Are there blunders or weak geometry?If not: List the observations and points with the worst values. Back to step 4.
  6. Recommend which observations to repeat or add
  7. Surveyor approves the re-observation planThe agent waits here for your OK.
  8. Add the new data and rerun the adjustment
  9. Does the network now meet the standard?If not: Repeat the review of the worst residuals. Back to step 4.
  10. Surveyor approves the adjusted valuesThe agent waits here for your OK.
  11. Adjustment review report

How it decides

It flags observations with residuals above the test limit, starting with the largest. It never removes data without recommending a re-observation.

  • Flag residuals above 3 times the standard error (default)
  • Weak geometry gets a recommended extra observation
  • Never delete an observation without a repeat
  • The reference variance must be near 1 (default 0.5 to 1.5)

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Standard error limits
  • Blunder test limit (default 3 times)
  • Variance range
  • Software
  • Re-observation rule

What keeps you in control

It always asks you first

  • Re-observation plan
  • Adjusted values

Hard limits

  • Never removes data on its own
  • Never certifies values
  • Keeps every adjustment run

It stops when

  • Done: network meets the standard
  • Stop: network cannot meet the standard; surveyor redesigns the control

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA 12 point network showed a distance residual of 0.062 ft against a 0.012 ft standard error, and a weak angle at point 7. The agent traced the distance to a prism height of 5.5 instead of 5.0 ft. The surveyor corrected it, but the variance was still 2.1, so the check failed. A repeat of two angles brought it to 1.1.

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