Build a Real Internal Tool with Lovable — Live in 30 Minutes

Hosted by Aki Wijesundara, PhD and Manu Jayawardana

Sun, Mar 15, 2026

10:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

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Scaling a Business with AI Automations
Manu Jayawardana and Aki Wijesundara, PhD
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What you'll learn

How to identify the right internal tool to build

Spot high-friction internal workflows that don’t need full engineering cycles.

How to scope a tool for speed and impact

Define clear inputs, outputs, and guardrails before building.

How to build an internal tool live with Lovable

Turn a real team problem into a working tool in under 30 minutes.

How to connect data, logic, and AI safely

Use structured workflows without creating brittle systems.

How to decide when to scale vs rebuild properly

Know when your internal tool should graduate to a production system.

Why this topic matters

Every operations team has internal tools they wish existed but never get prioritized by engineering. Lovable changes that — but most people don't know how to spec, build, and ship one without ending up with something that breaks when they're not looking. This session shows the full process from idea to deployed tool.

You'll learn from

Aki Wijesundara, PhD

AI Founder | Educator | Google AI Accelerator Alum

Aki Wijesundara is an AI leader with a PhD in Machine Learning and extensive experience mentoring startups at Google’s AI Accelerator. With a career spanning both research and applied AI, Aki has taught 5,000+ students worldwide how to design and deploy production-ready AI systems.

He has worked across cutting-edge areas of applied AI, from LangChain and RAG pipelines to observability and large-scale deployment. As a researcher and educator, Aki bridges the gap between theory and practice, making complex systems approachable and actionable for engineers, founders, and product leaders.

Aki is also a frequent speaker and advisor to organizations adopting AI, helping them transition from experimentation to production at scale.

Career highlights

  • Ex–Google AI Accelerator researcher focused on responsible AI and applied ML.
  • PhD in AI & Cognitive Systems with published research across top universities.
  • Former researcher with teams affiliated with MIT, University of Oxford, & King’s College London.
  • Co-founder of Snapdrum — delivered AI systems for finance, education, and healthcare.
  • Built and deployed AI product pipelines used by PMs, startups, and enterprise teams.
  • Instructor for multiple AI builder programs, helping 500+ professionals ship AI features fast.

Manu Jayawardana

Exited AI Founder (Rise AI: 35k Users) | Co-Founder of Krybe and Snapdrum.com

Manu Jayawardana is a serial entrepreneur with multiple AI startup successes. He exited Rise AI, a fintech app with over 35,000 users, to a private investor, demonstrating his ability to build and scale impactful products.

He co-founded Snapdrum, delivering enterprise AI systems and scaling paid acquisition engines that drove 5,000+ premium customers.

He is also Co-Founder & CEO of Krybe, a London-based Voice AI startup serving 1,000+ users and part of the NVIDIA Inception ecosystem. With a background in quant finance and AI engineering, he operates at the intersection of AI, distribution, and execution.


Career highlights

  • Exited Founder, Rise AI — Built an AI investment copilot (35,000+ users) trained on 1,300+ financial sources; exited to a private investor.
  • Co-Founder, Snapdrum — Delivered enterprise AI agents and high-ticket growth systems; scaled funnels to 5,000+ customers.
  • Co-Founder & CEO, Krybe — Built a production-grade Voice AI platform serving 1,000+ users; part of NVIDIA Inception.
  • Creator of the #1 ranked Investment GPT on the OpenAI Store with 30,000+ users.
  • B2B SaaS Analytics CEO — Scaled revenue 10× in one year, serving 5,000+ users.
  • Entrepreneur First Unlock Fellow (2024) — Selected for high-potential deep-tech founders.
  • AI Systems & Growth Architect — Built and scaled 10+ ventures across AI and SaaS.


Previous Students from

Google
Meta
OpenAI
NVIDIA
Boston Consulting Group (BCG)

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