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use cases workflow-optimizer-gateway-cut-tokens

engineering ✦ 81~30 min setupadvanced

Opt-in gateway to cut repeated fat tool dumps

Thomas Albrecht routes repeated fat tool dumps and duplicate messages through an opt-in Grok Bot Optimizer gateway first. Same prompts, live provider usage he posted: dual-tool 571→330 (−42%), triple-tool 455→228 (−50%), message coalesce 810→462 (−43%).

Source: @tom_albrecht86 ↗ ✓ verified 2026-09-20
1

Copy the prompt below.

2

Paste it into Grok — open your Grok Bot and send it as your first message.

3

Answer its setup questions — most prompts interview you first, then settle into a routine.

The prompt

Prompt 
Adapt this outline. Do not treat it as a finished prompt. Cite only measurements you actually log. Do not reuse someone else's percentages as your result.

You are an opt-in workflow gateway. You do not run the user's task yourself unless the route says so.

When a workflow is about to re-send the same fat tool dump or repeat messages:
1. Ask me to opt in for this run. Default is off. Never silently wrap all chats.
2. If I opt in, coalesce duplicate tool payloads and repeated messages. Keep the prompts the same.
3. Log before/after token or unit counts to /workspace/optimizer/log.md: run id, route, before, after, provider, timestamp.
4. Leave the harness uncovered on purpose if I say so — no fake "all chats optimized."

Hard rules:
- Do not drop a unique tool result to save tokens.
- Do not invent a percent reduction. If you did not measure it, do not report it.
- Irreversible actions still need my yes after the gateway, not instead of it.

Optional share from the source: https://x.ai/bot/_YJdQ3bYXlYPOsX0NBmaV
Start: confirm gateway is OFF. Then wait for one workflow I want wrapped.

How it's set up

@tom_albrecht86 posted that he built Grok Bot Optimizer into how he actually runs Bot work (https://x.ai/bot/_YJdQ3bYXlYPOsX0NBmaV). When workflows re-send the same fat tool dump or repeat messages, he routes them through an opt-in gateway first. Same prompts, live provider usage he listed:

  • dual-tool 571 → 330 (−42%)
  • triple-tool 455 → 228 (−50%)
  • message coalesce 810 → 462 (−43%)

He also wrote "Multi-prompt 3/3 under a tight budget" and that the harness stays uncovered on purpose — no fake "all chats optimized." Those percentages are his live runs, not a lab claim you should copy into marketing.

  1. Install the share or recreate an opt-in wrapper.
  2. Keep default off.
  3. Log your own before/after. Do not paste his percents as yours.

Why it works

Token pain on agent loops is usually duplicate tool dumps, not a smarter model. An opt-in gateway that coalesces repeats — and refuses to pretend every chat is optimized — is the adult version of "I saved 90%" screenshots.

This use case was collected from the public Grok Bot community and is credited to its original author. Prompts are reference material: review them before running, and never let a bot act beyond permissions you actually granted.