Practical AI development
Agent26.Org focuses on building usable tools that support real workflows, including evidence review, data cleaning, decision support, and user guidance.
Public-interest AI · Practical tools · Evidence-informed design
Building AI tools for meaningful impact.
Agent26.Org is a public-facing digital platform for developing and sharing practical AI-enabled tools that support equity, accessibility, knowledge synthesis, and socially useful innovation. The platform is designed for people who need clear, usable, and responsible digital solutions — not technology for its own sake.
Equity
Reducing barriers to responsible and meaningful AI use.
Evidence
Supporting better synthesis, curation, and decision-making.
Social Good
Designing tools for education, accessibility, and public value.
About Agent26.Org
Agent26.Org is a flexible platform for AI-enabled applications and public-interest digital resources. It brings together practical development, responsible design, and evidence-oriented thinking across education, accessibility, disability support, research synthesis, and other socially beneficial domains.
Equity and accessibility
The platform foregrounds inclusive design, aiming to make digital and AI-supported resources clearer, more accessible, and more useful for diverse users.
Knowledge synthesis
Agent26.Org supports tools and workflows that improve how evidence is searched, screened, organised, deduplicated, translated, and applied.
Vision and orientation
The broader vision of Agent26.Org is to create AI tools that are not only functional, but also socially meaningful, research-informed, and practically scalable.
Agent26.Org is built around a simple principle:
AI should help people think better, work more efficiently, access information more fairly, and make better-informed decisions. The platform therefore prioritises clarity, transparency, usability, and public value over unnecessary technical complexity.
Responsible innovation
The platform treats AI as a supportive layer for human judgement, not as a replacement for professional expertise, ethical reasoning, or contextual understanding.
Scalable workflows
Tools are designed so they can begin as focused prototypes and gradually develop into more robust workflows for research, education, and practice.
Public value
Agent26.Org aims to contribute to projects where AI can support equity, learning, accessibility, research translation, and social impact.
Featured web apps
These tools demonstrate the platform’s applied focus. New apps can be added over time as Agent26.Org expands across evidence synthesis, accessibility, education, and decision-support use cases.
Accessibility and support
NDIS Support Navigator
A guided support tool designed to help users navigate disability-related information, pathways, and services more clearly.
Evidence review
RIS Deduplication Tool
A practical workflow tool for uploading RIS files, removing duplicate references, and exporting cleaner records for evidence review work.
Coming next
Next Agent26 Application
This space can host future tools for AI-supported screening, data auditing, research translation, education, or public-interest decision support.
Platform note: this layout is designed so new app cards can be duplicated easily as the Agent26 ecosystem grows.
Project Lead
Dr. Cong Ngo
Agent26.Org is led by Dr. Cong Ngo as a platform for developing AI applications that connect innovation with equity, public value, evidence synthesis, and responsible implementation.
- Applied AI and evidence synthesis workflows
- AI-supported research translation and decision support
- Public-interest digital tools for education, accessibility, and social good
Platform orientation
Agent26.Org sits at the intersection of AI, education, accessibility, disability support, and knowledge synthesis. Its purpose is to develop tools that are clear enough for practical users, rigorous enough for research-informed work, and flexible enough to support future expansion.
Rather than presenting AI as a stand-alone solution, the platform positions AI as part of a broader human-centred workflow: supporting judgement, improving efficiency, reducing unnecessary complexity, and helping users make sense of information more effectively.