In our recent workshop, 18 participants, half technical and half business-focused, went from scattered ideas to working prototypes in just one day. One participant even built a mini flight simulator during a break. The secret wasn't the AI tools themselves, but changing how we work with them.
Why AI Alone Won't Double Your Speed
The real blocker isn't the technology. It's process debt. Strict, legacy workflows kill the speed that AI promises. LLMs can double your speed, but only if you let them integrate end-to-end.
Time lost to approvals
Over-specification before development
Multiple hand-offs between teams
Debates instead of demos
LLMs can double your speed, if you let them.
What We Did in the Workshop (Case Snapshot)
Workshop Overview
18 participants (~50% technical / 50% non-technical)
LLM fundamentals: stochastic outputs, context windows, agents
Voice ideation and thinking models for PRD
Vibe-coding in Replit from scratch
Results
Multiple working prototypes
GitHub linking and deployment
Live testing and demos
One mini flight simulator built during break!
Vibe-Coding, Explained
"Vibe-coding" is iterative, conversational building with AI, starting from intent and context, not from lengthy specs. It works because it emphasizes fast feedback, fewer hand-offs, and demos over debates.
Iterative, conversational building with AI
Starting from intent and context, not lengthy specs
Fast feedback, fewer hand-offs
Demos over debates
Incremental prompts with early branching
Built-in guardrails for quality
Get the Vibe-Coding Checklist
The Coherence Framework (Step-by-Step)
Context Harvesting
Gather PM/Dev/Design assets
Alignment Kick-off
North Star + transcript
AI Clarifying Questions
Uncover unknowns
AI-Drafted PRD
Goals, non-goals, success metrics
Review & Refine
Human oversight
AI Task Breakdown
Dev plan to Jira/Linear
Download Prompt Templates
How We Build in Replit (Hands-On Flow)
Create Repl from scratch → AI Agent for scaffold
Assistant for precise edits
GitHub integration (branching, PRs)
Secrets and Deploy (Static / Autoscale / Reserved VM)
Logs, Tests, Multiplayer
Switch to advanced tools when needed
Why GitHub Linking Matters
GitHub integration ensures your prototypes aren't trapped in Replit. You can seamlessly transition to your production stack, CI/CD pipelines, and existing development workflows.
What Teams Learned (and Loved)
Mixed teams produce business-ready prototypes in hours
Voice ideation improves context richness → better PRDs → cleaner code
Agentic scaffolding accelerates, tests guard against regressions
Updating processes unlocks the real speed-up
Participant Testimonials
We built more in one day than our usual sprint produces in two weeks.
The voice ideation completely changed how we think about requirements gathering.
Who This Workshop Is For
Product Leaders
Who want a repeatable AI workflow, not just demos.
Forward-Thinking Organizations
Ready to rethink process to capture AI benefits.
GitHub-Ready Teams
With GitHub access and basic LLM/Copilot exposure.
Format, Agenda & Deliverables
Workshop Details
5-6 hours, on-site or remote
Interactive, hands-on learning with mixed teams
Live prototype branch + next-steps plan
Take-Aways
PRD prompt template
Vibe-Coding checklist
One week of optional support
Email + short 1:1 calls
Request a Workshop / Book Discovery Call
Ready to Transform Your Development Process?
Don't let legacy processes hold back your AI potential. Join the teams that are already building prototypes in hours, not weeks.
Book Your Workshop
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