
AI Developer - Founder of @AffinityBots and @AIAutomated_cn - AI Agent Specialist
USA
Joined May 2018
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AI needs the right context at the moment of work:
• customer
• request
• current status
• constraint
• owner
• next action
New capability gets attention. Context creates useful outcomes.
Audit one handoff this week. #AI #Automation
1/4 This week's AI releases have a shared lesson:
Capability is moving fast. Context still decides whether the work is useful.
Before an AI workflow acts, it should know who this is, what changed, and what “good” looks like.
A practical context checklist 🧵
3/4 Make context operational, not a document no one opens.
Put the fields beside the action:
• ticket priority before reply
• account status before outreach
• policy before refund
• owner before escalation
4/4 Start small: take one repeated task and write the six fields it needs to make the next right move.
Then automate the routine path and review the edge cases.
What workflow needs clearer context first? #AIAutomation #AI
1/5 November is the right time for an automation pre-mortem.
Do not ask, “Is it automated?”
Ask, “What happens when the workflow is wrong, late, or overloaded?”
Five questions to run before year-end volume 🧵
4/5 What needs a human?
Define the moments that require judgment: low confidence, policy exceptions, customer risk, or irreversible action.
Human review is a design feature, not a fallback.
5/5 How will you know it is healthy?
Track queue age, exception rate, and time to resolution. Give one person ownership of the weekly review.
Run the pre-mortem now. Your busiest week is not the moment to discover a broken handoff. #Automation #AI
Automating an inbox? First decide where the weird stuff goes.
Green: complete + low risk → act
Amber: missing context → ask
Red: high impact or low confidence → escalate
The goal is fewer humans doing routine work.
Map one exception path today. #AI #Operations
2026 AI reports have a clear theme: value needs proof.
Start with the unglamorous wins:
• fewer back-and-forths
• faster handoffs
• no missed follow-ups
Pick one friction point. Baseline it. Improve it weekly.
What delay would you remove first? #AI #Automation
The post is not the finish line.
It is research for the next one.
Save questions, objections, and examples from replies. That is audience research without a survey link.
Publish → listen → tag → next brief.
What reply changed your thinking? #SocialMedia #Automation
1/5 Before you automate a customer touchpoint for holiday volume, run this test:
Can the workflow recognize a routine request, pause on ambiguity, hand a person the right context, and record the outcome? 🧵
4/5 Check 3: a clean human handoff.
Do not send someone a vague alert. Send the request, relevant context, what the system found, and the recommended next step.
5/5 Check 4: an outcome loop.
Log what changed, who owns follow-up, and the next approved action.
That is how automation stays useful under pressure.
Pick one touchpoint and test it before volume does. #CustomerExperience #Automation
AI can make 50 posts before lunch.
That does not create 50 reasons to care.
The content advantage is editorial judgment:
signal → point of view → proof → feedback
Automate production. Keep the opinion human.
What would you stop publishing? #ContentMarketing #AI
1/4 A useful AI rollout does not begin with a model comparison.
It begins with a calendar.
Find the recurring decision your best operator makes every Tuesday. That is where to look for leverage. 🧵
3/4 Automate the predictable 80%. Design the 20% for handoff.
A workflow that knows when to pause is more valuable than one that confidently guesses.
4/4 Then measure the change:
• cycle time
• rework
• escalations
• outcome quality
Start narrow. Learn in production. Expand only when the data earns it.
What recurring decision would you map this week? #AI #Automation




