À PROPOS DE CET ÉPISODE
Brandon Redlinger isn’t here to talk theory. He’s here to show how AI is blowing up the old marketing playbook. In this episode, we get into how real operators are using tools like ChatGPT to rip through competitive research, accelerate content, and make better decisions faster than most teams can open a Google Doc. Brandon walks through his actual workflow, his personal AI stack, and how he went from basic prompts to using AI as a force multiplier across every part of marketing. If you’re still treating AI like a side project, this will be a wake-up call. Tune in and level up. Get my weekly breakdown of AI, GTM, and Cloud Employees:
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AUTRES ÉPISODES DANS CE PODCAST
Salesforce is charging for Agentforce three different ways:
• $2 per conversation
• $0.10 per action
• $125+ per user per month
One product. Three models.
Why?
Because SaaS was built on seats.
But AI replaces seats.
If your AI works, customers need fewer humans.
If customers need fewer hum…
Everyone thinks the AI race is about models.
It’s not.
It’s about data integrity.
Since 2023, Salesforce has deployed $12B in acquisitions:
• ~$10B into data infrastructure
• ~$2B into the agent layer
That ratio tells you everything.
Why?
Because enterprise “truth” is a mess:
• Multiple ve…
In this episode, we explore the transformative power of AI in customer service, focusing on the shift from traditional labor-based metrics to innovative outcome-based models. Join us as we discuss with industry experts from Zendesk and Salesforce about the challenges and opportunities in adapting t…
Vinod Khosla recently said BPOs could disappear within five years.
Most service leaders will dismiss that.
They shouldn’t.
Traditional BPO is built on:
• Labor arbitrage
• Headcount scale
• Utilization math
• Margin on human throughput
That model worked when labor was the constraint.
AI ch…
Scale AI and the Center for AI Safety tested frontier agents on 240 real freelance jobs.
Not toy benchmarks.
Not controlled prompts.
Actual client work.
Result:
Top agent success rate → 2.5%
Failure rate → 97%
Why?
Because real work is messy.
• Specs change mid-project
• Clients contradic…
Avertissement: Le podcast et les illustrations intégrés sur cette page proviennent de Gabe Larsen, qui est la propriété de son propriétaire et n'est ni affilié ni approuvé par Listen Notes, Inc.
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