Shaping the Future of AI with Smarter Prompts
We’re an independent AI lab pushing the boundaries of LLM intelligence — from role-based tuning to token efficiency — to make AI systems faster, smarter, and more contextual.
BUILT ON RESEARCH. DRIVEN BY PURPOSE.
Partner With UsAbout the Lab
DoCoreAI Lab is an independent AI research initiative and early-stage startup focused on redefining how language models respond in dynamic environments. Founded in 2025, our mission is to build smarter, context-aware AI systems by optimizing how intelligence is applied within LLM prompts.
We believe that the next leap in generative AI doesn’t come from larger models — it comes from intelligent adaptation. DoCoreAI was created to solve real-world inefficiencies in LLM usage: prompt bloat, lack of role-awareness, and token waste.
By dynamically adjusting reasoning, creativity, and precision based on context, DoCoreAI ensures every response is purposeful, efficient, and aligned with user intent.
Our work lies at the intersection of:
- LLM prompt optimization
- Token-efficient response generation
- AI agent design and evaluation
We are building not just a tool, but a new standard in how LLMs interact with humans.
What We’re Building
We’re building DoCoreAI — a research-driven optimization engine that makes language model outputs smarter, faster, and more efficient.
At its core, DoCoreAI is an AI intelligence profiler. It dynamically adjusts key parameters like reasoning, creativity, precision, and temperature based on context — delivering role-specific, purpose-driven responses without manual prompt engineering.
Whether it’s a customer support agent, coding assistant, or internal chatbot, DoCoreAI empowers LLMs to generate high-quality responses that save cost and time.
We're currently developing:
- A Python library for developers to optimize LLMs out-of-the-box
- A real-time testing suite called DoCoreAI Pulse to evaluate AI responses across benchmarks
- Research-backed methods for token efficiency, contextual response alignment, and automated evaluation
This is more than a toolkit — it's a step toward intelligent orchestration of GenAI systems at scale.
Achievements
(40 days)
- 📦 10,000+ downloads in PyPi
- ⭐ 43 stars on GitHub
- 🔥 22,000 views on Reddit
- 📈 8,000+ LinkedIn post impressions
- 🧪 Evaluation Suite: DoCoreAI Pulse (WIP)
- 🧨 Launched on Product Hunt
Our Roadmap
- Q1 2025: Launch of DoCoreAI – First release on PyPI, introducing dynamic prompt optimization.
- Q2 2025: Evaluation Suite + Optimizations – Build DoCoreAI Pulse, token profiler, and deeper role-based tuning logic.
- Q3 2025: Web Dashboard & SaaS Preview – Launch an interactive frontend to test, visualize, and integrate DoCoreAI.
- Future: Open Leaderboards & Plugin Ecosystem – Benchmark optimization across models, and extend via agent-specific plugins.
🧭 Turning Vision into Research
From dynamic temperature profiling to token-efficiency benchmarks, our core ideas translate directly into focused, real-world AI research.
Our Research Areas
At DoCoreAI Lab, our research focuses on optimizing how AI systems think, respond, and adapt — with special attention to cost, quality, and context.
- Dynamic Temperature Tuning: Automatically adjust the "temperature" of AI responses using reasoning, creativity, and precision metrics — no more guesswork or hardcoded prompts.
- Cost Profiling & Token Efficiency: Reduce unnecessary token usage without losing output quality. We're working to make LLMs leaner, smarter, and cheaper to run.
- Evaluation & Benchmarks: We test our methods using rigorous benchmarks like MMLU, HumanEval, and Dahoas to measure real-world improvements in accuracy and efficiency.
- Contextual Role-Aware Responses: Train AI systems to respond differently based on roles — a support bot, a data analyst, and a creative writer shouldn't speak the same way. DoCoreAI makes that possible.
- DoCoreAI Pulse: Our upcoming tool to run live AI evaluations and test how optimized your responses are.
See DoCoreAI Pulse in Action
A glimpse into our evolving evaluation suite — DoCoreAI Pulse lets you benchmark, tune, and visualize prompt intelligence in real time. Precision meets performance
What Early Users Are Saying
How to Collaborate (and Why)
DoCoreAI Lab is building the next generation of LLM optimization tools—with a strong foundation in research, open-source values, and practical applications.
We’re actively seeking collaborators, contributors, and supporters who resonate with our mission:
If you’re a Researcher or Developer:
- Collaborate on benchmarking, new intelligence metrics, or token-efficiency experiments
- Contribute to DoCoreAI Pulse – our upcoming evaluation suite
- Share ideas, findings, or code that pushes the boundaries of prompt optimization
If you’re a Company or Product Team:
- Integrate DoCoreAI into your chatbots, assistants, or AI agents
- Explore how dynamic intelligence profiling can improve your GenAI workflows
- Run joint experiments to improve accuracy and reduce costs
If you’re an Investor or Incubator:
- Let’s talk about how DoCoreAI can evolve into a scalable SaaS platform
- Support the vision of a token-aware, role-smart future for LLMs
- Early-stage involvement = strategic influence in a rising AI capability
📬 Want to explore something together?
Reach out via GitHub, LinkedIn, or email info@docoreai.com