The Quality Command: Quality examples, quality answers
I woke up from a dream about prompting a giant Tron-like computer world. Not the usual dream fodder, but it made perfect sense. I've been obsessed with one idea since the start of 2025: LLMs become extraordinary when given the right guidance.
This isn't abstract theory. I've seen it firsthand. The same LLM, given different quality of guidance, produces dramatically different results. The pattern is clear - feed it quality context, get quality output. Feed it poor context, get mediocre results.
Through constant testing and iteration, I've identified what actually moves the needle. Not fancy prompting tricks. Not complex systems. Just clear, focused methods that consistently work.
Give LLM quality examples, get quality outputs
The most impactful context data to feed LLMs are examples. Not vague guidelines - specific, concrete examples of what works and what doesn't. I've tested this hundreds of times. The results are consistent: give an LLM quality examples, get quality output.
I. Examples, Do's and Don'ts: You can add these through your prompts or in your knowledge base and reference them. The second method is more powerful since it gives the LLM a broader context to work with. This broader context naturally leads to the next crucial element.
II. Documentation That Matters: Want to accelerate your results? Feed your LLM updated documentation. Could be API specs, product manuals, whatever's relevant. Add them as markdown or PDFs, either in your knowledge base or directly in prompts. I've seen tasks that took 20 iterations drop to 2-3 with proper documentation. This efficiency allows you to focus on what really matters - your ideas.
III. Your Ideas, Unfiltered: This one surprised me. The more ideas you feed in, the better the output. Not just rough concepts - full descriptions. It gives the LLM your thinking pattern, shows your direction clearly, and enables better scrutiny against your goals. I run nearly all my ideas through Claude now. It compares them instantly against my overarching goals, keeping me on track and saving weeks of wandering down wrong paths. This systematic approach led me to develop strategic collections.
IV. Strategic Collections: Here's where most people go wrong - they use one knowledge base for everything. Don't. Create specific collections for specific goals. When building landing page copy, for instance, you need great examples you love, offer details, and proven frameworks like David Ogilvy's. Then create a system prompt that ties it all together. This isn't just theory. I've used this to cut through the endless loops of low-context prompting, going straight to high-quality output.
Being open to new directions
Here's something counterintuitive: the more structure you give an LLM, the more creative it becomes. But you have to be willing to listen.
I. Course Correction: My creative tendencies often overcomplicate things. The solution came through building a "compass role" directly into my prompts using XML tags. This creates a dedicated section that has permission to challenge direction and point out when I'm overcomplicating. The result is clearer thinking and faster execution, which naturally leads to more effective exploration.
II. The Power of Wandering: The best creativity hack I've found is structured wandering. Build multiple knowledge bases for different projects, then create one mega-project that can access them all. Let the LLM find unexpected connections. When I combined my product development and storytelling collections, the LLM found patterns I'd never considered, leading to completely new approaches.
III. Compound Learning: This is where everything comes together. Every interaction makes the system smarter, with each project added to the knowledge base. Then, the connections get richer, the insights deeper. I update my mega-project regularly with new additions, and the thought experiments it generates keep pushing my imagination.
These ideas have been obsessively on my mind since the start of 2025. Each experiment, each iteration, has pointed toward something bigger. Something that could make these powerful techniques even more accessible and effective.
I. The Evolution: Current tools like GPT and Claude are powerful, but they're general-purpose. They weren't built specifically for this kind of structured, creative interaction. That's about to change.
II. The Next Step: We've been quietly working on something different. An app powered by US/EU AWS hosted DeepSeek R1 model and user dynamic UI. It's built from the ground up for this specific type of work - turning your knowledge and thinking patterns into a powerful augmentation system.
III. The Real Difference: This isn't just another LLM interface. It's a system designed around everything I've described - from strategic collections to creative wandering. It makes these advanced prompt and knowledge base techniques feel natural and intuitive.
Remember that Tron-like dream I mentioned? That's what we're building toward. Not just a tool, but a true thinking environment. A space where your ideas can grow, combine, and evolve in ways that weren't possible before.
We're almost ready to show you what we've built. And I can't wait for you to experience what an incredible tool this is.