Build a Ruthless AI Researcher to Evaluate 108 SaaS tools

Hosted by Jason Tan

Wed, Jul 15, 2026

10:30 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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What you'll learn

Build a 3-Step Autonomous AI Research Workflow

Build an "Extract, Batch, Evaluate" sequence to stop AI memory limits and process huge datasets on autopilot.

Eliminate AI Hallucinations with the "Verification" Rule

Write a constraint prompt that forces AI to admit what it doesn't know, instantly filtering out fake data.

Delegate Your Operational "Dirty Work" to AI

Map out your team's tedious manual tasks and translate them into strict, repeatable AI systems.

Why this topic matters

Manual software research and operational dirty work kill your team's momentum. You will learn to stop treating AI like a magic eight ball and start treating it like an autonomous junior analyst. By mastering strict, sequential workflows, you will eliminate AI hallucinations, reclaim hours of wasted time, and confidently automate complex evaluations without sacrificing accuracy or transparency.

You'll learn from

Jason Tan

Bootstrapped AI Founder | Author & Speaker | AI Product & Business Advisor

I am the Chief AI Officer at Ascendnce. We build AI agents that scale revenue without adding headcount, automating real operations like lead research and email triage.

Previously, I bootstrapped Engage AI to 100,000 users and built pricing systems for major insurers. After 20 years in data science, I prefer execution over theory. I map business workflows to prove financial cases and build actual technology.

In this course, I teach engineers and corporate employees this approach. You will learn to identify expensive bottlenecks, work backwards, and rapidly prototype a functional AI product. You leave with the frameworks and a working AI prototype to become an internal product leader.

Subscribe for practical frameworks on building AI products and agentic system.

TRUSTED BY

Google
Amazon Web Services
Suncorp Group
Great Eastern
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