Ten layers · 14 autonomous AI agents
Every decision, researched, compared and proven.
Aabas AI is an autonomous decision-intelligence ecosystem: a knowledge hub, decision tools, a comparison engine, a personal advisor, a video studio, a newsletter engine, a community, a marketplace, a research lab and a trust engine — all run by one coordinated AI agent team.

One ecosystem, ten layers
Each layer feeds the next: research becomes tools, tools become comparisons, comparisons become recommendations — and every output is evidence-checked before it reaches you.
Layer 1
AI Knowledge Hub
Expert-reviewed guides, news and explainers across 30+ topics.
Layer 2
AI Decision Tools
Calculators, planners and assessments that quantify the choice.
Layer 3
AI Comparison Engine
Weighted scorecards and transparent side-by-side matrices.
Layer 4
AI Recommendation Engine
A consultant that learns your context and explains every pick.
Layer 5
AI Video Studio
Turns any article into scripts, storyboards and platform-ready video.
Layer 6
AI Newsletter Engine
Curated issues, lifecycle automation and audience ownership.
Layer 7
AI Community Platform
Spaces, Q&A, reputation and AI-summarised discussions.
Layer 8
Digital Product Marketplace
Creator storefronts, licensing and instant secure delivery.
Layer 9
AI Research Laboratory
Autonomous agents mapping trends into a live knowledge graph.
Layer 10
Trust & Evidence Engine
Citations, claim registry, bias reports and public trust scores.
Aabas AI 3.0 — an autonomous agent team
A Master Orchestrator plans the work and 14 specialist agents execute it — researching, testing products, auditing review quality, building comparisons and calculators, producing newsletters and video, moderating the community, forecasting trends, optimising conversion and guarding brand trust.
Shared memory and agent-to-agent handoffs
Step-by-step task logs with automatic retries
Confidence gating that escalates to a human
Continuous self-improvement from performance metrics
Evidence-backed
Every claim links to a source, with public trust scores and bias reports.
Connected
Articles, tools, comparisons and picks all share one knowledge graph.
Human-in-the-loop
Low-confidence AI output is reviewed by an expert before publication.

