Building Out Loud: Initial MVP Feedback & wrestling with Agents 

Randy Silver and Faith Forster catch up after Faith reaches a key milestone: a working MVP that covers the full workflow. 

After walking a few “friendly” product leaders through the tool, Faith uses early feedback to sharpen the purpose of each element. She shares strong early demand signals and early indications of willingness to pay.

Faith explains recent work on AI agents and why it has been harder than expected. Based on user conversations, Faith talks about some of the updates she has already made to deliver even more value. 

00:00 MVP Update: Full Workflow Working & Early Friendly Feedback
00:50 Sharpening Features: Rethinking the Roadmap Around Impact
01:38 Demand Signal: 53 Product Leaders Raise Their Hands
02:19 Will They Use It and Pay? Early Buyer Validation
04:12 Building with AI Agents: The Pain of Training Web Search & Pricing Scrapes
05:37 Refactoring the Agent Stack: Router + Choosing Perplexity/OpenAI/Gemini
06:36 Cadence & Cost: Scheduling Agents and Avoiding Market Noise
08:01 Competitor Intelligence: Threat Levels, Refreshes, and Instant Battle Cards
09:06 Assistant vs Autonomous Agents: What’s Hard, What Learns Over Time
09:39 Evals, Corrections, and Learning Loops in the Product
11:26 Next Week: Sending 60 Invites, Collecting Beta Feedback, and Messaging Prep
12:07 Wrap-Up and What’s Coming Next