PodcastsRank #47428
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AI, Actually

BusinessPodcastsTechnologyENunited-statesDaily or near-daily
5 / 5
Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI. Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required. AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned.
Top 94.9% by pitch volume (Rank #47428 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Daily or near-daily
Episodes
13
Founded
N/A
Category
Business
Number of listeners
Private
Hidden on public pages

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Canonical: https://podpitch.com/podcasts/ai-actually
Cadence: Active monthly
Reply rate: Under 2%

Latest Episodes

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Building Software 10x Faster with AI: A Real-World Walkthrough

Tue Jan 27 2026

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What happens when AI coding agents enter the development process? AnswerRocket's team built a production-ready CRM in just four weeks, showing what's possible with next-generation software development. In this episode, Pete Reilly, Alon Goren, Mike Finley, and Andy Sweet pull back the curtain on what modern AI development actually looks like in practice. Using a custom CRM project as their case study, they demonstrate how coding agents, contextual design, and new architectural patterns are fundamentally rewriting the build versus buy equation for enterprise software. This isn't theory—it's a live demonstration of software that would have taken 10x longer to build just six months ago, with insights on what this means for development teams, IT strategy, and the future of business software. Topics covered: How AI coding agents reduced development time by 10x for production-grade softwareWhy context is now more valuable than data entry in modern CRM designThe shift from "system of record" to "sales assistant" in CRM philosophyHow playbooks and workflows enable AI to follow company-specific processesWhy the build vs. buy decision is becoming "build with composable blocks"What "vibe coding" means and why offshore development strategies need rethinkingHow maintenance changes when AI agents can read source code directly Follow the Gang Mike Finley, CTO, AnswerRocket  - https://www.linkedin.com/in/mikefinley/ Pete Reilly, COO, AnswerRocket - https://www.linkedin.com/in/petereilly Andy Sweet, VP Enterprise AI Solutions, AnswerRocket - https://www.linkedin.com/in/andrewdsweet/ Alon Goren, AnswerRocket, CEO - https://www.linkedin.com/in/alon-goren-87889681/ Chapters 00:00 Intro: Demo to AI in Software Development 02:10 Understanding Customer Interactions and CRM Needs 04:39 Reimagining CRMs in the Age of AI 06:00 Demo Walkthrough of the CRM 20:02 What's Possible Now with AI-Assisted Development 21:25 Designing an AI-Compatible Stack 27:32 Flipping the Build vs. Buy Dilemma 32:59 AI's Impact on Offshore Development 35:57 The Future of Business and Software Customization 39:23 Maintaining AI-Assisted Software Solutions #AIDevelopment #CodingAgents #CRMCustomization #VibeCoding #BuildVsBuy #EnterpriseSoftware #AIAgents #SalesAutomation #SoftwareDevelopmentLifecycle #ClaudeCode #AgenticDevelopment #ContextDrivenDesign

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What happens when AI coding agents enter the development process? AnswerRocket's team built a production-ready CRM in just four weeks, showing what's possible with next-generation software development. In this episode, Pete Reilly, Alon Goren, Mike Finley, and Andy Sweet pull back the curtain on what modern AI development actually looks like in practice. Using a custom CRM project as their case study, they demonstrate how coding agents, contextual design, and new architectural patterns are fundamentally rewriting the build versus buy equation for enterprise software. This isn't theory—it's a live demonstration of software that would have taken 10x longer to build just six months ago, with insights on what this means for development teams, IT strategy, and the future of business software. Topics covered: How AI coding agents reduced development time by 10x for production-grade softwareWhy context is now more valuable than data entry in modern CRM designThe shift from "system of record" to "sales assistant" in CRM philosophyHow playbooks and workflows enable AI to follow company-specific processesWhy the build vs. buy decision is becoming "build with composable blocks"What "vibe coding" means and why offshore development strategies need rethinkingHow maintenance changes when AI agents can read source code directly Follow the Gang Mike Finley, CTO, AnswerRocket  - https://www.linkedin.com/in/mikefinley/ Pete Reilly, COO, AnswerRocket - https://www.linkedin.com/in/petereilly Andy Sweet, VP Enterprise AI Solutions, AnswerRocket - https://www.linkedin.com/in/andrewdsweet/ Alon Goren, AnswerRocket, CEO - https://www.linkedin.com/in/alon-goren-87889681/ Chapters 00:00 Intro: Demo to AI in Software Development 02:10 Understanding Customer Interactions and CRM Needs 04:39 Reimagining CRMs in the Age of AI 06:00 Demo Walkthrough of the CRM 20:02 What's Possible Now with AI-Assisted Development 21:25 Designing an AI-Compatible Stack 27:32 Flipping the Build vs. Buy Dilemma 32:59 AI's Impact on Offshore Development 35:57 The Future of Business and Software Customization 39:23 Maintaining AI-Assisted Software Solutions #AIDevelopment #CodingAgents #CRMCustomization #VibeCoding #BuildVsBuy #EnterpriseSoftware #AIAgents #SalesAutomation #SoftwareDevelopmentLifecycle #ClaudeCode #AgenticDevelopment #ContextDrivenDesign

Key Metrics

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Pitches sent
6
From PodPitch users
Rank
#47428
Top 94.9% by pitch volume (Rank #47428 of 50,000)
Average rating
5.0
Ratings count may be unavailable
Reviews
N/A
Written reviews (when available)
Publish cadence
Daily or near-daily
Active monthly
Episode count
13
Data updated
Feb 10, 2026
Social followers
N/A

Public Snapshot

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Country
United States
Language
English
Language (ISO)
Release cadence
Daily or near-daily
Latest episode date
Tue Jan 27 2026

Audience & Outreach (Public)

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Audience range
Private
Hidden on public pages
Reply rate band
Under 2%
Public band
Response time band
Private
Hidden on public pages
Replies received
Private
Hidden on public pages

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
N/A
Contact available
Yes
Masked on public pages
Sponsors detected
Private
Hidden on public pages
Guest format
Private
Hidden on public pages

Social links

No public profiles listed.

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Monthly listeners49,360
Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About AI, Actually

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What is AI, Actually about?

Tired of the AI hype? So are we. Welcome to AI, Actually: the podcast that cuts through the noise and gets real about how artificial intelligence can work for your business. In each episode, our resident AI and business transformation experts–along with occasional industry guests–hold a candid, jargon-free conversation on what it takes to get actual value from AI. Join us as we tackle topics like: the real difference between the latest LLM models, why generic AI can't make sense of your messy company data, how to get your GenAI use case off the ground, and what the rise of AI agents means for your business. This is your practical playbook for putting AI to work. No PhD required. AI, Actually is produced by AnswerRocket. Since 2013, our enterprise AI solutions have helped Fortune 500 companies achieve measurable results through their AI transformations. This podcast is where we share what we’ve learned.

How often does AI, Actually publish new episodes?

Daily or near-daily

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