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Agentic AI · Learning & capability

Agentic AI for
learning & mentorship.

Project bixso-academy In production

An AI learning platform where autonomous agents tutor, mark and guide — and a human mentor steps in for the moments that matter.

WhyBusiness modelBusiness analysisThe agents

Why we built it

The reason this project exists.

Most online learning measures completion, not capability. We wanted agents that teach to real mastery — and that know when a human mentor matters more than a machine.

Every BIXSO project starts the same way — with a real business problem worth solving, not a technology looking for a use. Then comes the model, the analysis, and the agents.

01 · Business model

It starts with the business.

Training creates value when it closes a real capability gap — not when it ships another generic course or a hollow completion badge.

  • Learners hold goals and prior knowledge.
  • Value is captured by verified skill — points earned and mentor-endorsed.
  • Energy credits and course purchases fund the path.

02 · Business analysis — the DNA

Then the rigour.

We modelled the path from gap to verified mastery — and where a human mentor matters more than a machine — before the agents taught anyone.

The businessLearning & capability
01 Processes
  • Diagnose level
  • Plan a roadmap
  • Tutor & answer
  • Mark & endorse
02 Data
  • Prior knowledge & goal
  • Skill-point profile
  • Assessment signals
  • Mentor endorsements
03 Rules
  • Rubric-based scoring
  • Content approved before active
  • Honest assessment
  • Mentor-endorsed mastery
04 Decisions
  • What to teach next
  • What score to propose
  • When mastered
  • When to bring in a mentor
A modelprecise enough for agents to run

fig. — business analysis: decoding bixso-academy into processes, data, rules & decisions

The rules that let an agent act without going wrong

  • The grader marks against a rubric and tells a learner what they haven’t mastered yet — honestly.
  • Verified skill needs a human mentor’s endorsement, not just an agent’s score.

03 · The agents at work

It ships as agentic AI — verified.

Three named agents teach, mark and guide — each grounded in the learner’s real profile.

A01agent
Bixso

The learning assistant — finds the right courses, answers questions, and drafts a study roadmap.

A02agent
AI Grader

Marks each challenge against a rubric, proposes a score out of ten, and writes constructive feedback.

A03agent
Career Advisor

Reads your skill profile, spots the gaps, and updates your path toward a target role.

What the product does

  • Diagnose level and plan a path
  • Tutor and answer in context
  • Mark work against a rubric
  • Hand to a human mentor at the right moment

Guardrail. Honest assessment over flattering progress. Agents mark and guide; a human mentor endorses real mastery.

In production

In production — built on Vertex AI (Gemini), React and Google Cloud Run, across web and mobile.

What it means for you

Want this — grounded in your business?

bixso-academy is the BIXSO method, shipped: a business model, analysed with rigour, running as governed agentic AI. We start with the questions, not the tech.

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