Top 5 AI Models for Professionals (Updated Weekly)
Top 5 AI models for white-collar use cases.
Ready-to-Use Models (No Setup Required)
Claude 3.5 Sonnet (Currently top)
Great all-rounder
GPT-4o
Voice understanding
Gemini 2.0
First Agentic model from Google
Technical Setup Required (Open Source)
Phi 4.0
Best Small Language Model (SML), Not yet publicly released
Llama 3.3
Best open source model (benchmarking against)
The GenAI Jumpstart course teaches you how to access open source models and customise proprietary models to your role and associated job tasks in Section 4 of the 10 Section.
The “ARIA” test: Your AI Capability & Automation Benchmark
The top AI models as of this week
As founder of Blackfeather ai, I've seen firsthand how difficult it is for organisations to understand exactly what GenAI can and can't do in professional settings. That's why we created ARIA - the Autonomous and Responsive Intelligence Assessment - a practical framework for measuring AI's current capabilities across specific tasks and industries.
What ARIA Really Measures
ARIA gives you two critical insights:
The level of automation possible for specific professional tasks (from basic augmentation to full automation)
How well GenAI models actually perform these tasks compared to human professionals
Real-World Examples
Here's how ARIA measures automation potential across different roles:
RoleTask ExampleWhat ARIA MeasuresCurrent AI CapabilityContent MarketerWriting blog postsLanguage quality, SEO optimisation, engagement metricsHigh automation potentialFinancial AnalystBuilding financial modelsAccuracy, complexity, edge case handlingAugmentation levelLegal AssistantContract reviewError detection, consistency, complex clause interpretationPartial automationSoftware DeveloperCode generationCode quality, bug rate, documentationTask-dependentExecutive AssistantEmail managementResponse accuracy, priority handling, tone matchingHigh automation potential
The Core Framework
ARIA uses five key thresholds to measure automation readiness:
ThresholdDescriptionWhy It MattersMirrorAbility to replicate human work patternsShows if AI can maintain quality standardsContinuityMaintaining context across interactionsEssential for complex, ongoing tasksAdaptationHandling unexpected situationsIndicates independence levelIntegrationWorking with systems and humansShows practical deployment readinessJudgementMaking complex decisionsMeasures automation potential
Industry-Specific Measurements
ARIA breaks down capabilities across 10 core domains, measuring specific tasks within each:
Content Creation & Media
Article writing
Social media management
Design asset creation
Research & Analysis
Market research
Data analysis
Trend forecasting
Financial Operations
Financial modeling
Risk assessment
Audit support
[Additional domains removed for brevity - expand as needed]
Automation vs Augmentation
ARIA helps you understand where AI is at these levels:
Full Automation Ready: AI consistently outperforms humans
High Augmentation: AI handles 70%+ of tasks with human oversight
Partial Augmentation: AI assists but requires significant human input
Human-Led: AI provides basic support only
Why This Matters For You
As a professional or business leader, ARIA helps you:
Identify which tasks in your organisation are ready for AI automation
Understand where AI can augment your team's capabilities
Make data-driven decisions about AI adoption
Track AI progress in your specific industry and role
Using ARIA
We're making ARIA freely available as an open standard. You can:
Use our benchmarks to evaluate AI solutions for specific tasks
Measure automation potential in your organisation
Track AI capability improvements over time
Make informed decisions about AI integration
Book a one-on-one consult to:
Access detailed task-specific benchmarks
Compare AI capabilities across different models
Get regular updates on AI progress in your industry
At Blackfeather.ai, we're focused on helping organisations understand exactly where and how AI can add value to their operations. ARIA provides the clear metrics and benchmarks needed to make smart decisions about AI adoption and automation.
Kaitlyn Sapier
Founder, Blackfeather ai