Customer-facing and internal systems with retrieval, session handling, and structured prompts.
AI systems, automation, and applied ML
Technical partner for businesses that need more than a prototype.
I build retrieval-backed assistants, internal knowledge systems, workflow automations, and custom software through ForeBuild LLC. The focus is practical deployment, not AI theater.
- Retrieval-backed assistants
- Workflow automation
- Applied ML and evaluation
$ forebuild engage --scope "support assistant"
OK Knowledge source connected
OK Retrieval and answer flow configured
OK Evaluation harness ready
Deployment target: Cloud Run / private infra / internal stack
Architecture, evaluation, deployment, and operations considered from the start.
Services
What I help teams build.
The best fit is usually a business that wants AI or automation implemented with clear operational value.
AI Agents and RAG Systems
Retrieval-backed assistants, embedded chat experiences, internal copilots, and knowledge-aware workflows.
Workflow Automation
Automations that remove repetitive work, connect systems, and create cleaner operational handoffs.
Internal Tools
Dashboards, search tools, and decision-support software for teams that need better access to information.
Applied ML Prototypes
Classification, evaluation, and model testing workflows that help teams validate ideas before scaling them.
Selected Work
Compact examples of the kinds of systems I build.
Client details are intentionally anonymized. Public stubs and deeper case studies can be added later.
Customer Support Agent
Production AI chat assistant with an embeddable widget, retrieval over a knowledge base, session handling, and lead qualification workflows.
RAG Evaluation Framework
Test harness for measuring retrieval quality, answer relevance, faithfulness, and hallucination rate across real business queries.
Internal Knowledge Systems
Searchable knowledge workflows for organizing operational content, training material, and reusable institutional insight.
Claim Verification Research
Two-stage claim verification pipeline for contested or insufficient-evidence claims, combining retrieval, classification, and structured evaluation over real datasets.
How I Work
Direct process. Small surface area. Real delivery.
Define the job
Clarify the business problem, the users, and what the system actually needs to do.
Design the system
Choose the right stack, data flow, and interaction model instead of overbuilding from day one.
Build and test
Implement the product, wire in evaluation where needed, and validate how it performs in practice.
Ship with context
Deliver something usable, explain how it works, and leave you with a cleaner operational path.
About
Bryce Aaron, founder of ForeBuild LLC.
I combine AI engineering, applied research, and product-minded execution to build systems that are useful in the real world. My background includes AI implementation, information science, entrepreneurship, and research-oriented ML work.
I graduated from the University of North Carolina at Chapel Hill with a degree in Information Science, a second major in Medical Anthropology, and a minor in Entrepreneurship.
Focus
Applied AI, automation, internal tools, and custom software.
Approach
Hands-on execution with an emphasis on clarity, rigor, and shipping usable systems.
Fit
Best for teams that need a capable solo operator instead of a bloated agency process.