RepReady

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  Turn your sales reps into killer closers!

Inspiration

Real estate companies invest millions in hiring and training sales professionals, yet most learning still happens through classroom sessions, shadowing, and occasional roleplays. New agents often face real buyers before they're truly ready.

We asked a simple question: What if sales teams had a practice arena like athletes have training facilities or pilots have flight simulators?

That idea became RepReady, an AI-powered platform where sales professionals can practice realistic conversations, receive instant coaching, and continuously improve before meeting actual clients.

What it does

RepReady is an AI Sales Training Arena built specifically for real estate teams.

It enables sales professionals to:

• Practice realistic buyer conversations with AI
• Receive instant coaching and performance feedback
• Improve discovery, objection handling, and closing skills
• Learn using company-specific sales playbooks
• Track progress through performance analytics

Instead of replacing salespeople, RepReady helps them become more confident and better prepared for every customer interaction.

How we built it

We built RepReady using a modern AI-first stack:

• OpenAI GPT-5.5 for realistic buyer simulations and AI coaching
• OpenAI Codex to accelerate development, debugging, and feature implementation
• Next.js for the frontend
• Supabase for authentication, database, and storage
• Vercel for deployment

We designed structured prompting that allows the AI to simulate different buyer personas, personalities, objections, and sales scenarios while evaluating each conversation using proven sales methodologies.

Challenges we ran into

The biggest challenge was making conversations feel genuinely human instead of scripted.

We also had to balance realistic buyer behavior with coaching that was actionable and consistent. Every conversation needed to feel different while still providing meaningful feedback.

Another challenge was designing a platform flexible enough to support different developers, products, and sales playbooks without rebuilding the experience for each organization.

Since this was built during a hackathon, speed was essential. OpenAI Codex helped us rapidly prototype features, fix bugs, and iterate much faster than traditional development.

Accomplishments that we're proud of

• Pilot discussions with the Philippine leading real estate organizations such as Megaworld, Filipino Homes, and Pueblo de Oro, with an upcoming product demo with SMDC
• Built a functional AI sales training platform within the hackathon timeframe
• Created realistic roleplay conversations with personalized AI coaching
• Demonstrated how OpenAI models can create practical enterprise training solutions

What we learned

We learned that great AI products are not just about using powerful models. They're about combining domain expertise, thoughtful prompt engineering, and an experience that solves a real business problem.

We also discovered how much faster product development becomes when using OpenAI Codex as a development partner, allowing us to spend more time refining the product rather than writing repetitive code.

What's next for RepReady

We're expanding RepReady into a complete AI training platform for enterprise sales teams.

Our roadmap includes:

• Natural voice conversations with AI buyers
• Multiplayer practice and sales competitions
• Manager dashboards and team analytics
• CRM and LMS integrations
• Company-specific knowledge bases and playbooks
• Personalized AI learning paths

Built With

• codex
• gpt-5.5
• next.js
• supabase
• vercel