The Real Problem with AI Tools in Business Development

You've been there. You fire up ChatGPT, paste your prompt, get a response that sounds like everyone else's response, and then spend the next 30 minutes making it sound human. Then another 20 minutes checking facts. Then you realize it doesn't reflect your actual case studies, your company's voice, or anything that makes your agency special.

This is the fundamental flaw with generic AI assistants for business development work. They're great at generating something, but they know nothing about you.

Trie approaches this problem differently.

What Makes Trie Actually Different

Rather than being another chatbot you bounce ideas off, Trie positions itself as an "AI associate" that lives directly inside your Google Workspace. That means when you're building a pitch deck in Slides, drafting a proposal in Docs, or crafting a follow-up email, Trie is right there—armed with your company's context.

We're talking about:

• Your actual case studies and proof points that make your claims credible
• Your brand voice and tone baked into every output
• Account-specific notes from previous conversations that inform your next pursuit
• Decision records from past meetings that keep momentum going

This isn't AI that happens to work with Google Workspace. This is AI that thinks in your business context.

For Consultants and Agencies: The Weekly Deliverable Grind

If you're running an independent consultancy or a lean agency, you know the rhythm: client work flows out, new business development has to flow in. That means pitch decks, proposals, account plans, meeting follow-ups, executive summaries—all delivered at a quality level that represents your brand.

The problem? These deliverables are incredibly time-consuming when you start from zero every time. And when you're one person or a team of three, zero is where you often find yourself.

Trie's value proposition centers on speed without sacrifice. You brief it with context, and it produces presentation-ready drafts—formatted for client send, not requiring another round of heavy editing.

Key Capabilities Worth Noting

Decision Capture: This feature caught my attention. How many brilliant insights get lost between client meetings? Trie integrates meeting discussions into your account context, feeding objections and decisions into your next deliverable. The system builds institutional memory that doesn't require someone to manually update a CRM.

Review Before Send: A structured review layer catches issues with facts, brand consistency, and versioning before work reaches the client inbox. This is the kind of quality gate that larger organizations have but lean teams usually skip due to time constraints.

Company Brain: The concept of a centralized knowledge base—your proof, voice, account notes—that informs every deliverable is where Trie differentiates from generic AI. You're not prompting a blank slate; you're querying your own organizational knowledge.

The Practical Starting Point

Teams typically begin with one deliverable type—usually pitch decks—and expand from there. This makes adoption manageable rather than overwhelming. Download the macOS app or book a call with the founders to explore whether it fits your workflow.

The Bigger Picture

What we're seeing with tools like Trie is a shift in how AI adds value in business contexts. The first wave was about generating anything. The next wave—where Trie sits—is about generating relevant output based on proprietary context.

For agencies and consultants, your proprietary context is your competitive advantage: your methodology, your client relationships, your past wins. Tools that amplify that context rather than replace it represent the real opportunity.

Blank documents might not become a thing of the past, but they could become a lot less common.

Trie is available at trie.dev. Worth exploring if your team produces client-facing deliverables weekly and could use a boost in speed without a drop in quality.