AI for Housing Professionals & Developers: Practical Tools, Real Results

LAAHP 2026 Annual Conference Opening Session 

Louisiana Association of Affordable Housing Providers (LAAHP)’s 2026 Annual Conference kicked off with a session that set the tone for where the industry is heading: 

Artificial Intelligence is now essential for business operations in the AEC (architecture/engineering/construction) and commercial real estate development industry. 

Host Christianne Brunini and speaker Jake Heller, Founder of AI for CRE Collective, led a discussion on how housing professionals can move beyond curiosity and begin using AI as a practical, everyday tool to drive efficiency, insight, and better decision-making. 

This conversation went beyond the buzzwords to explore AI solutions that provide real value to our everyday work.  

The AI Toolkit: What’s Worth Your Time 

There is no shortage of AI tools on the market right now, but a few stood out as especially useful for housing and development professionals: 

1. Advanced Thinking + Strategy Support: Claude AI A favorite among power users for deeper reasoning and more structured outputs. Particularly useful for complex problem-solving and long-form analysis. 

2. Multi-Step Process Automation: Manus (Meta) Designed to handle layered workflows and multi-step tasks, making it a strong option for operational processes and repeatable systems. 

3. Research + Source Validation: Perplexity AI Ideal for market research, sourcing data, and validating information quickly with citations. 

4. Real-Time Trends + Industry Signals: Grok  Particularly strong for tracking conversations and emerging trends on X (formerly Twitter), offering a pulse on what’s happening in real time across industries. 

The Real Skill: Prompting with Precision 

The biggest takeaway from the session was clear: AI is only as good as the instructions you give it. 

Jake introduced a simple but powerful framework for prompting that dramatically improves output quality: 

RTCF Prompting Framework 

• Role — Who should the AI act as? 

• Task — What exactly are you asking it to do? 

• Context — What background or assumptions should it know? 

• Format — What should the final output look like? 

Why This Matters 

Most people use AI like this: “Analyze this property for me.” 

The result? Generic, inconsistent, and often unusable. 

A more effective approach looks like this: 

• Assign a specific role (CIO, developer, analyst) 

• Define a clear objective (build a 5-year model) 

• Provide real assumptions and constraints 

• Request a structured output (Excel with defined tabs) 

These steps give the AI model a better idea of the context behind what you are asking and actionable steps to give you what you are looking for.  

Pro Tip: Start with Meta Prompting 

One of the most practical techniques shared in the session was meta prompting. Instead of trying to write the perfect prompt yourself, brain dump everything you know and ask the AI model to build the prompt for you. 

This approach: 

• Reduces friction 

• Improves clarity 

• Produces stronger, more usable outputs from the start 

Where AI Delivers Real Value (Today) 

For housing and real estate development professionals, AI is already proving highly effective in: 

• Document Analysis 

• Financial Modeling & Underwriting 

• Construction and Renovation Budgeting 

• Rendering and Visual Concepts 

• Data Extraction 

• Drafting Communications 

• Investor Deck Development 

• Market Research 

One example shared: AI can be trained to follow a specific underwriting model based on redevelopment type and renovation level, essentially learning how you think and replicating your process. 

Where AI Still Falls Short 

Despite its capabilities, AI has clear limitations. Understanding them is critical: 

• Relationship building and negotiation 

• Final judgment and decision-making 

• Legal and compliance accuracy 

• Handling private or non-public information 

• Hyperlocal market knowledge 

• Persuasion in high-stakes deal-making 

This is where human expertise remains non-negotiable. 

The 90/10 Rule: Trust, But Verify 

A simple rule to guide your use of AI: AI will get you 90% of the way there, but you must own the final 10%. 

That final 10% is where: 

• Accuracy is verified 

• Assumptions are challenged 

• Strategy is refined 

• Risk is managed 

Skipping this step is where mistakes happen. 

A Critical Conversation: Privacy + Internal Process 

As adoption increases, one of the most important considerations is data security and governance. Most AI tools now allow you to turn off data sharing and prevent inputs from being used for model training. Even still, it’s important to understand what data your AI agent is learning from you and what limitations exist with proprietary information. 

But the bigger takeaway is this: Avoiding AI is not a strategy. Your team will adopt it formally or informally, so implementing it the right way can only benefit your work.  

The real opportunity is to: 

• Establish internal guidelines 

• Provide team-specific training 

• Define approved use cases 

• Create checks and balances 

• Build a shared understanding of best practices 

Without this, organizations risk operating in what was described as the “wild west” of AI usage. 

Final Takeaway: From Curiosity to Capability 

The shift happening right now is significant. AI is moving from experimentation to integration and curiosity to capability.

For housing professionals, developers, and economic development leaders, the question is no longer if you will use AI. It’s how intentionally you choose to implement it. 

At 30|90 Marketing, we see AI not as a replacement but as an accelerator. It’s a tool that enhances strategy, sharpens execution, and creates space for higher-level thinking. 

And like any tool, its impact depends entirely on how well you use it. If you’d like to hear more from Jake Heller, you can tune into The Comms Exchange Episode Harnessing AI in Real Estate: A New Era.