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- 🎮 The Next Input — Issue #163
🎮 The Next Input — Issue #163
Why Your Team is Drowning in "Workslop"

⚡ The Briefing — 60 sec
Anthropic’s rise is giving some OpenAI investors second thoughts All that means for us as consumers is that we get amazing products. Really don’t care who wins. I’m having popcorn the entire time 🍿
Anthropic readies Claude Opus 4.7 and AI design tool for launch BUT if they are in a war… Anthropic is not playing at all. 4.7 is likely to be incremental, but the broader move into design tooling says they are widening the battlefield.
Bosses say AI boosts productivity – workers say they’re drowning in ‘workslop’ No matter which way the war above goes, one thing will never change: bosses don’t understand workers and workers stay under the pump.
🛠️ The Playbook — The AI Workslop Filter
Mission
Use AI to cut actual work, not create a fresh layer of synthetic busywork that makes leadership feel productive while teams quietly drown.
Difficulty
Intermediate
Build time
3–5 hours
ROI
Less fake productivity, better workflows, and a much clearer line between useful AI leverage and AI-generated admin sludge.
0) Why This Matters
The model war is fun to watch from the sidelines.
One company ships harder. Another raises more. Investors panic. Founders posture. Consumers get better products. Fine.
But the worker-level reality is different.
A lot of AI rollouts are not producing leverage. They are producing:
more summaries
more dashboards
more reporting
more “visibility”
more layers between the worker and the actual work
That is how productivity theatre happens.
The smart play is not to ask, “Where else can we add AI?”
It is to ask:
what work disappears
what work gets faster
what work gets clearer
what new work is just slop wearing a blazer
1) Architecture
Component | Tool | Purpose | Owner | Failure mode |
|---|---|---|---|---|
Workflow map | Airtable / spreadsheet | List real recurring work | Operations | Teams optimise around the wrong tasks |
AI layer | ChatGPT / Claude / Gemini | Draft, summarize, classify, assist | Team | Generates extra admin instead of removing it |
Validation layer | Human review / QA | Check whether AI output reduced effort | Team lead | Slop gets mistaken for productivity |
Output layer | Docs / CRM / inbox / dashboard | Deliver output where work happens | Operations | Output creates another review step |
Metrics layer | Sheets / BI | Measure time saved and error load | Operations | Leadership tracks volume, not value |
Kill switch | Policy / review cadence | Shut down low-value AI workflows | Leadership | Bad workflows linger because they look innovative |
2) Workflow
Pick one workflow where AI has already been introduced or is about to be introduced.
Map the old process in plain English before touching the shiny new layer.
Identify which steps AI removes, which steps it speeds up, and which steps it adds.
Kill any new AI-generated step that does not clearly improve speed, quality, or clarity.
Keep human review only where judgment actually matters, not where the process got bloated.
Measure whether the workflow now feels lighter for the worker, not just cleaner for management.
3) Example Prompts
Workslop Detector
You are reviewing a workflow for AI-generated busywork.
For the process below:
- identify which steps create real value
- identify which steps are just extra summaries, reporting, or admin
- identify what should be removed immediately
- identify the top 5 signs of workslop
Process:
[insert workflow here]
Manager Reality Check
You are reviewing whether an AI rollout improves work or just improves optics.
Check:
- whether the worker has fewer steps
- whether leadership has added extra reporting
- whether the workflow is genuinely faster
- whether the output is being used or merely observed
Return:
1. biggest issue
2. biggest waste
3. one concrete fix
Worker Load Prompt
You are assessing the real impact of AI on the worker.
For the workflow below:
- identify what got easier
- identify what got more annoying
- identify where AI created new hidden labour
- recommend what to cut
Workflow:
[insert workflow]
Kill-the-Slop Prompt
You are ruthless about workflow quality.
Given the process below:
- remove anything redundant
- remove anything that exists only for visibility theatre
- keep only the steps that produce a materially better outcome
Return the leaner workflow in numbered steps.
4) Guardrails
Never count extra summaries as a win by default.
Do not add an AI layer unless a human layer can disappear.
Track worker burden, not just management visibility.
Kill workflows that produce more reading than action.
Do not mistake cleaner reporting for better operations.
If the user still feels crushed, the AI rollout did not work.
5) Pilot Rollout — 3 hours
Pick one AI-assisted workflow that staff already complain about.
Write down the before and after process side by side.
Highlight every new step AI introduced.
Remove the steps that do not improve outcome quality or reduce load.
Test the leaner version with 10 real tasks.
Keep only the version that reduces both effort and irritation.
6) Metrics
Number of workflow steps removed
Time saved per task
Human review minutes added vs removed
Output usage rate
Worker frustration score
Percentage of AI outputs acted on
Number of AI-generated steps killed after review
Pro Tip: If AI creates three new layers of summaries so someone senior can feel informed, but the worker is still buried, that is not leverage. That is deluxe workslop.
🎯 The Arsenal — Tools & Platforms
ChatGPT / Claude / Gemini · useful when they remove work, not when they create a fresh reporting stack · ChatGPT · Anthropic · Gemini
Airtable · simple workflow map for spotting where AI added sludge instead of leverage · Airtable
Google Sheets · fast scorecard for time saved, steps added, and slop removed · Google Sheets
Anthropic’s next moves · the consumer takeaway is better products; the operator takeaway is that the tooling layer is expanding beyond pure chat.
The Guardian’s workslop framing · a useful reminder that “AI productivity” and “worker experience” are often not the same thing.
Copy-paste prompt block:
You are helping me build an AI Workslop Filter.
For the workflow below:
1. map the original process
2. map the AI-assisted process
3. identify which steps were removed
4. identify which new steps AI added
5. identify which new steps are genuine leverage versus workslop
6. propose a leaner workflow
7. define success metrics
Workflow:
[insert workflow here]
Return the answer in markdown with sections for:
- Original workflow
- AI-assisted workflow
- Workslop detected
- Leaner workflow
- Risks
- Pilot rollout
- Metrics
💡 Free Office Hours
If your team has adopted AI but somehow ended up with more admin, more dashboards, and more noise, I run free office hours to help strip the slop out and get back to actual leverage.
Book here: https://calendly.com
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🕹️ Game Over
The model war is entertaining. Workslop is not. Enjoy the popcorn, then go cut the sludge.
— Aaron Automating the boring. Amplifying the brilliant.
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