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Issue 43 | AI automations just got reliable. Here is what changed.

AI automations just got reliable. Here is what changed.

The biggest friction point in AI automation is not the AI's capability. It is the AI's formatting consistency. When a downstream system expects a JSON object with specific fields and the AI returns slightly different field names, adds an explanation before the JSON, or omits a key, the automation breaks.

6 min read
Quick Scan

What matters today

The biggest friction point in AI automation is not the AI's capability. It is the AI's formatting consistency.

Format Weekly newsletter issue
Audience Executives using AI at work
Time 6 min read
Topic AI automations just got reliable. Here is what changed.

Welcome byte

This issue gives executives a clean scan of AI automations just got reliable. Here is what changed.. Start with the quick hits, then use the companion guides for the workflows worth testing this week.

Quick Hits

#01

Microsoft: Recall Delayed Again

Microsoft's Recall AI screenshot memory feature for Copilot+ PCs delayed again to November 2024 due to ongoing privacy concerns. Read more

#02

ElevenLabs: Enterprise Voice API

ElevenLabs launched an enterprise voice cloning API for customer service and content production at scale. Read more

#03

OpenAI: $3.4B Revenue Run Rate

Bloomberg reported OpenAI's annual revenue run rate hit $3.4B, doubling year over year. Read more

#04

Gemini 1.5 Flash Updates: Google's Fastest Model for Repetitive Tasks

A marketing operations team classifies 500 customer support messages per day. Read more

#05

Perplexity Pages for Business: Shareable AI Research with Citations

What Perplexity Pages is and how it differs from a standard research conversation Read more

Top AI Updates

1. OpenAI Structured Outputs: Reliable JSON from AI for Business Automations

The Head of Operations at a logistics company spent three months trying to automate customer complaint routing using the OpenAI API. The AI categorized complaints correctly about 90% of the time.

2. Gemini 1.5 Flash Updates: Google's Fastest Model for Repetitive Tasks

A marketing operations team classifies 500 customer support messages per day. GPT-4o mini worked well but required chunking because some message threads with full conversation history exceeded its 128K context window.

3. Perplexity Pages for Business: Shareable AI Research with Citations

What Perplexity Pages is and how it differs from a standard research conversation

Pro Tip

How to handle ambiguous inputs and route low-confidence classifications for human review

Action items:

  • Copy the prompt or framework into ChatGPT, Claude, or Gemini.
  • Test OpenAI Structured Outputs for Customer Feedback Categorization on one live decision, document, or meeting artifact.
  • Save the best version as a reusable team template.

Productivity Gem

A five-query sequence that produces a comprehensive market analysis in 30 minutes

Action items:

  • Choose one recurring workflow with a clear before and after.
  • Run the Perplexity Research Workflow: Build a 10-Page Market Analysis in 30 Minutes workflow once with real work, not sample data.
  • Keep it only if it saves at least 30 minutes this week.

Health Tip

How to extract key biometric markers from your iPhone or Apple Watch without complex exports.

This information is for educational purposes only and is not medical advice. Please consult a qualified healthcare professional before making changes to your health routine.

Kids Tip

Kids create a hands-on AI project: Build a Teachable Machine Image Classifier With Your Kid. A parent or educator helps them build, test, and explain what the AI tool gets right and wrong.

Wrap Up

Pick one workflow from this issue, run it with real work, and keep the result only if it makes the next decision clearer or faster.

About the author

Pierre Bradshaw Founder, PromptHacker.ai

Pierre has spent 25+ years building growth systems across fintech, real estate, lending, campaigns, and AI workflows, with $1.5B+ in client value delivered.

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