60%
Traditional code and database work
The part a Buddy is a wrong tool for. Schema, joins, stored procedures, reliable writes.
The overlap
You ship function-specific agents, then refactor them every six to nine months.
Thirty-two active customers across the US, Belize, and Ghana. Sixty percent ARR growth. A 97.5% retention rate. A 2026 pipeline that already qualifies at $1.3M.
The Avatar Buddy frame that 70% of GenAI projects fail due to lack of internal expertise and clear roadmap is the exact wedge Eduba pushes on with its own clients.
We built this page because the overlap is worth a conversation.
How Eduba thinks about your stack
Most teams burn budget putting models where Postgres would do the job.
Eduba works from a simple distribution. The Buddy Suite handles the 10% well. The partnership conversation is about the 90% that sits underneath, and who carries it.
30%
Rule-based logic
Policy, routing, eligibility, guardrails. Deterministic, testable, and cheaper than a model call.
10%
Genuine language-model work
Where function-specific agents earn their keep. Summarization, reasoning-in-context, tone, translation.
On the 90% underneath. Eduba partners with NLP Logix for work that sits below the orchestration layer. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists. That is a natural fit when a shared client's real need is data-platform work or a production pipeline.
The case and the paper
Two artifacts that map directly to Avatar Buddy's shape.
A prior Eduba engagement with a similar buyer profile, and a methodology paper that addresses the refactoring cycle.
Feeld. Andrew Santus, CTO.
A scoped sprint with a product-company CTO. Workshop, advisory calls, Organizational Context Architecture, and a Strategic Operations Framework. The output was reusable IP the team owned. For Avatar Buddy the analogous output is a context-architecture convention you can apply across thirty-two clients and every client after that.
Interpretable Context Methodology: Folder Structure as Agent Architecture.
Submitted to ACM TiiS. A layered filesystem convention (L0 identity through L4 working artifacts) with measurable interpretability and reproducibility gains. Adopt even the naming conventions and the six-to-nine-month refactoring cycle gets measurably cheaper.
One credibility line
Jake and Matt built an online community to 22,000 members in five weeks. Distribution and product instinct. Back to the work.
The next step
Bring one Buddy spec, and we will walk the ICM layer against it live.
Thirty minutes, peer to peer. If the methodology maps, the rest of the conversation is about shape: licensing, co-delivery, or a downstream handoff when the need sits below the orchestration layer. If it does not map, we will both learn that quickly and go back to our respective calendars.