AERI · Weather Intelligence

Weather guidance that feels calmer when decisions matter.

AERI turns complex weather information into clearer daily guidance, severe-weather context, map awareness, and calm communication for people who need to know what to do next.

AERI mobile forecast interface screenshot

AERI is already moving from concept into interface.

The current product direction focuses on weather guidance that can be scanned quickly: forecast context, severe-weather modes, radar awareness, and calmer safety communication in one mobile-first experience.

AERI is a human-centered weather intelligence platform.

The goal is simple: reduce weather confusion before it becomes decision stress. AERI combines forecast interpretation, risk language, radar context, and safety pathways into one calmer experience.

Daily Guidance

Clear summaries for what matters today: rain, wind, comfort, air quality, and timing.

Severe Context

Risk information shaped for quick understanding, not panic or overloaded dashboards.

Calm Design

Interfaces built around attention, trust, and what people can actually process under stress.

Most weather apps give data. AERI is built around decisions.

A forecast is only useful if someone can understand what matters, when it matters, and what action makes sense. AERI is designed for the moment between seeing weather information and deciding what to do with it.

Less Interpretation Work

Translate scattered signals into priorities people can read quickly.

Better Risk Timing

Help users understand when conditions are changing, not just what the current number says.

Trust Under Pressure

Use calmer language and clearer hierarchy during stressful weather moments.

The current build is more than a forecast screen.

Forecast Experience

  • Current conditions, hourly structure, and short-horizon guidance.
  • Today-focused summaries for fast scanning and decision-making.
  • Environmental context for rain, wind, UV, AQI, comfort, and cloud cover.

Risk Modes

  • Standard, Meteorologist, and Severe pathways for different levels of detail.
  • Convective outlook framing, alert context, and high-risk communication patterns.
  • AERI index concepts for interpreting severe-weather signals.

Map Awareness

  • Radar and playback concepts for reading weather motion over time.
  • Location-aware views for local, regional, and state-level scanning.
  • Visual layers for cloud systems and evolving atmospheric behavior.

Safety Utilities

  • Alert, shelter, and SOS-oriented navigation for urgent moments.
  • AERI Radio for spoken weather in high-attention moments.
  • Mobile-first iteration with product surfaces across forecast, alerts, radio, and radar.

Anchor Mode

  • A focused mode for pinning attention to one place, event, route, or high-risk situation.
  • Keeps the most important weather changes visible without forcing users to keep re-checking.
  • Designed for moments when a user needs stability, monitoring, and calm updates.

AERI is growing into domain-specific weather intelligence.

The core AERI system is the foundation. The next step is specialized products for people whose work depends on weather decisions every day.

AERI Fields & Energy

Weather intelligence for agriculture, land, utilities, and energy operations where timing, wind, heat, rain, and field conditions affect planning.

AERI Marine

A marine-focused track for coastal, boating, and water-adjacent decisions, with attention to wind, storms, visibility, timing, and safer trip planning.

AERI Enterprise

A future operational layer for teams that need weather context across locations, alerts, staffing, events, and field decisions.

AERI is shaped by HCI, not just meteorology.

Progressive Disclosure

Start with the decision-level summary, then let users go deeper when they need expert detail.

Mode-Based Depth

Standard, Meteorologist, and Severe flows support different user intent instead of forcing one dashboard on everyone.

Human Language

Risk communication is written to reduce uncertainty, not make the interface sound more technical.

Evidence Loop

The product is being refined through screenshots, iteration notes, and visible before-and-after progress.

AERI is useful anywhere weather becomes an operational question.

Everyday Users

People deciding when to travel, commute, adjust plans, or pay attention to changing risk.

Schools and Communities

Groups that need clearer severe-weather communication without forcing everyone to become an expert.

Operations Teams

Teams that need weather context for logistics, staffing, field work, events, or safety planning.

The product has visible progress.

The most useful evidence is the interface evolution: earlier weather screens, HCI redesigns, and the current forecast direction. The proof page keeps the screenshots and build notes separate so this page can stay lighter.

What I am improving next.

Forecast

Clearer daily priorities

Severe

Better risk language

UX

Less cognitive load

Pilots

Real feedback loops