OpenAI
Responses API · Model example: GPT-6 Astra
Reasoning, document analysis and tool use within your application and workflows.
APPLIED AI
AI that helps your team move the work forward.
Recommend useful content, turn documents into usable records and bring evidence together for decisions. TreeNodes designs, builds and supports AI within your software and workflows, with the permissions, human review and recovery each task needs.
Known inputs → defined AI task → human review where needed → traceable result
BUSINESS REQUIREMENTS & ANALYSIS
Start with the work your business needs to do.
We analyse how people work, the data they use and the business rules involved to define where AI can help. Together, we agree useful outcomes and the decisions that need human review.
Recommend content and learning paths
Recommend relevant content and learning paths using the information and preferences available in your application.
Read documents and images
Extract fields from invoices, scans and records. Return structured data with the source and flag what needs checking.
Triage incoming work
Classify requests, identify missing information and prepare the next step for the right person or workflow.
Prepare evidence for decisions
Bring relevant records together into a review, comparison or report that keeps supporting sources and unresolved questions visible.
Act inside your systems
Use permitted tools and services to carry out tasks, record results and hand over decisions that need human authority.
Support the complete application
Support the frontend, backend and data around AI, and implement new requirements as your business evolves.
PROJECT SHOWCASE · MUSIC LEARNING
Completed · 2023–early 2026Personalised learning paths for musicians.
TreeNodes delivered a complete music learning platform across web, iOS, iPad and Android, connecting course information, data processing and visualisation with personalised learning paths and certification.
The learning experience
The platform combined an educational institution’s course information from databases, spreadsheets and other sources with student scores, interests, behaviour and learner characteristics. AI recommended courses and learning paths that musicians could follow towards certification.
Web and native delivery
The Swift apps for iOS and iPad and Kotlin apps for Android were delivered alongside the web platform by early 2026. The wider platform supported relationships across course, curriculum and learner information.
- Inputs
- Course and learning informationDatabases, spreadsheets and other sources from an educational institution
- AI
- Course and learning path recommendationsStudent scores, interests, behaviour and learner characteristics
- Learning
- Learning and certificationMusicians follow personalised learning paths, explore courses and gain certification
Functional overview of the delivered platform. Client, platform and institution details remain confidential under NDA.
- TreeNodes’ role
- Analysis, architecture, frontend, backend, APIs & databases
- Technology
- C# · GraphQL · Swift for iOS and iPad · Kotlin for Android · Open-source AI API
- Applied AI
- Course and learning path recommendations
IMPLEMENTATION, DELIVERY & OPERATION
Carry the design through to working software.
We build the user experience, backend, data connections and controls around AI, then plan release and ongoing support.
- Build the complete workflow
- Connect inputs, outputs, permissions and human review. Implement error handling and recovery for incomplete results or unavailable services.
- Evaluate before release
- Check quality, response time and cost against representative and difficult cases. Review errors with users and agree release criteria.
- Operate and improve
- Agree ownership and support, monitor performance and keep consequential actions traceable. Turn new requirements into controlled changes.
ARCHITECTURE & API INTEGRATION
Connect AI models to your business software.
We integrate OpenAI, Claude and open-source AI models with your software, defining the context, data access, hosting and review each task needs.
- 01 · Request
Your website or app
A person starts a task in your existing software.
- 02 · Prepare
Application backend
Authentication
Business rules
Relevant contextApproved data Documents or databases - 03 · Model request
Choose a model API
- 04 · Return
Backend validation
The response returns to your backend for checks against the task and business rules.
- 05 · Outcome
Application result
Show the checked result, or route it to a person for review.
Human review when needed
Claude
Messages API · Model example: Claude Opus 5
Document review, conversational applications and workflows that use tools.
Open-source AI
Hosted or self-hosted model APIs
Hosted APIs or models running in your infrastructure, selected for the task, licence terms, data requirements and running costs.
We design credential handling, data access, structured responses, tool permissions, error recovery and usage monitoring around your application.
Examples for new integrations, checked against official documentation on . We select the model and configuration for each project.