AUTOMATION

Using AI Prompts to Automate Subscription Cancellations

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11 May 2026 12h14

Fifth prompt: cancel the ones designed to trap you. The FTC sued Amazon over how hard Prime is to cancel. Some services force phone calls. Some only accept written notice. "Find the actual cancellation process for each. Draft a script and a formal cancellation letter."

Using AI prompts to automate price hike detection

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11 May 2026 12h14

Fourth prompt: catch the price hikes. Streaming prices rose 13% last year. Your old $9.99 Disney+ is now $18.99. Nobody notices. "Compare each current charge to the charge 12 months ago. Flag every service that raised prices more than 10%."

Using AI agents to audit and optimize subscription services

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11 May 2026 12h13

Third prompt: kill the duplicates. Two cloud storages. Three streaming services with the same shows. Adobe and Canva at once. "Group every charge by what job it does. Flag every category where I pay for two or more services doing the same thing. Recommend which to keep based on

Using AI agents for subscription management and financial auditing

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11 May 2026 12h13

Second prompt: find what you forgot. The biggest ghost charges are free trials that converted and annual renewals from old signups. "Identify any merchant on this list I would not recognize from the name alone. Tell me what each company is, what service they sell, and the date

Practical Prompt Engineering for Financial Data Analysis

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11 May 2026 12h13

First prompt: find every recurring charge. "Review these statements for every recurring charge in the last 12 months. List merchant, monthly amount, annual total, and last charge date. Sort by annual cost highest to lowest."

Using LLMs for personal financial data analysis

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11 May 2026 12h12

Export your statements. Open your bank app. Download the last 12 months of every checking and credit card account as a CSV.
Most people have never done this. It takes 4 minutes. Upload all the files to Claude or ChatGPT in one chat.

→ View original post on X — @ronald_vanloon

Why Enterprise AI Initiatives Fail Due to Missing Business Context

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@ronald_vanloon

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11 May 2026 12h12

Most enterprise AI does not fail because the model is weak.

It fails because the business context is missing.

That is the real bottleneck, and it gets worse as companies move from one copilot to hundreds of autonomous agents.

I unpacked this with Teresa Rojas & Tom Dejonghe… pic.twitter.com/W85TWP3V0s
— Ronald van Loon (@Ronald_vanLoon) 11 mai 2026

Most enterprise AI does not fail because the model is weak. It fails because the business context is missing. That is the real bottleneck, and it gets worse as companies move from one copilot to hundreds of autonomous agents. I unpacked this with Teresa Rojas & Tom Dejonghe

→ View original post on X — @elevenlabs

Mahindra Auto Deploys AI Voice Agents for XUV 7XO Launch

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@elevenlabs

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11 May 2026 11h13

@Mahindra_Auto, one of the world's largest automotive manufacturers operating across 100+ countries, deployed AI voice agents powered by ElevenLabs to manage peak demand during the XUV 7XO launch – achieving higher contact rates and an ~8% conversion uplift. pic.twitter.com/AbO3onJd9c
— ElevenLabs (@ElevenLabs) 11 mai 2026

@Mahindra_Auto
, one of the world's largest automotive manufacturers operating across 100+ countries, deployed AI voice agents powered by ElevenLabs to manage peak demand during the XUV 7XO launch – achieving higher contact rates and an ~8% conversion uplift.

→ View original post on X — @reach_vb

Using Thread Automations for Persistent AI Agent Context

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@reach_vb

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11 May 2026 7h32

thread automations are slept on they let Codex wake up inside the same thread on a schedule so instead of restarting context every time, it can keep checking, reviewing, polling, or continuing exactly where it left off tiny feature. very useful.