Leading models, one conversation layer
Work across chat, reasoning, coding, and research models without rebuilding your workflow for every provider.
Move from conversation to production without stitching together a dozen tools. Chat across leading models, create images and video, generate music and audio, route work intelligently, talk with Hannah, and keep every output organized.
Multi-provider AI chat
Move among 118 chat, reasoning, coding, and research models across 14 providers—without changing the workspace around your work.
Start with the task, then pick the model that earns the work.
EZ Ai Assist keeps model choice close without making the provider the center of your workflow. Draft with speed, switch for deeper reasoning, compare an important answer, and preserve the context around the decision.
118
Chat models
14
Providers
Work across chat, reasoning, coding, and research models without rebuilding your workflow for every provider.
See responses arrive as they are generated so ideas, revisions, and follow-up questions keep moving.
Choose a model for the job at hand—from fast everyday answers to deeper reasoning and code-intensive work.
Bring current web context into prompts when a question depends on recent information or external sources.
Evaluate strengths, tradeoffs, and fit before committing an important workflow to one model.
Keep work moving with provider-aware routing designed around speed, cost visibility, and resilient fallback paths.
Creative generation
Generate visuals, motion, music, and audio across leading providers—then keep every useful output close to the project that created it.
40
Models
Create campaign visuals, concepts, product imagery, and production-ready assets across leading image providers.
Explore image generation models25
Models
Turn prompts and creative directions into cinematic clips, social concepts, and motion-ready outputs.
Explore video generation models11
Models
Generate tracks, voice, sound, and audio concepts alongside the rest of your creative workflow.
Explore music and audio modelsKeep generated images, videos, audio, and working files organized in the same workspace where ideas begin.
See the creative provider ecosystemWorkflow intelligence
EZ Ai Assist adds a practical workflow layer around every request so you can improve the input, understand the route, follow the generation, and keep moving.
Shape the prompt
Enhanced
Select the route
Cost checked
Run the model
Streaming
Keep the output
Organized
Compare before you standardize.
Use the model comparison workspace when accuracy, speed, or fit matters more than habit.
Compare model strengthsTurn rough instructions into clearer, richer prompts before they reach a model.
Add current external context when the work depends on timely facts, documentation, or research.
Understand the cost profile of a generation before choosing the path for the job.
Direct requests through the provider and model that best fit the workflow.
Keep supported workflows resilient when a preferred model or provider is unavailable.
Move between model strengths without losing the workspace around the task.
Follow creative generations through their active states instead of wondering whether work is still running.
These are current workflow capabilities. Repo-aware Coding Agents are presented separately in the roadmap below.
Organized workspace
History, files, generated media, and model categories live in one recognizable environment—ready for the next revision instead of lost between tabs.
Workspace
New creation
Start from any model
Recent project
Summer launch
12 assets · 8 conversations
Summer launch
Launch concept 03
Google · Nano Banana Pro
Product reveal
Runway · Gen-4.5
Campaign bed
MiniMax · Music 2.6
Connected context
Keep prompts, outputs, and working files close enough to move from idea to revision without restarting.
Reusable by design
Build on the strongest assets and conversations from earlier work instead of recreating them.
A real-time, in-app voice experience built around your models, context, and workspace tools.
Hannah is your in-app live AI voice agent. Speak naturally while she coordinates supported models, search, and workspace tools to keep the conversation moving.
Hannah operates inside the EZ Ai Assist workspace. This preview does not represent a telephone or SIP service.
Live session
Workspace voice mode
Live transcript
You
Compare the strongest coding models for this repository.
Hannah
I’m routing that through the model catalog and repository context now.
Active routing
Model route
Claude Sonnet 4.6
Ready
Workspace tool
Repository context
Connected
Response mode
Live voice
Speaking
Model and provider ecosystem
Discover the right model, understand the provider behind it, and compare realistic options before your team commits to a path.
Live catalog
194
Models & tools
26
Providers
The catalog stays organized by modality, provider, strengths, and intended use so breadth remains useful—not overwhelming.
Customer use cases
See how teams apply EZ Ai Assist across engineering, marketing, customer work, research, creative production, and operations.
Draft code, debug issues, compare implementation options, and route complex engineering prompts to stronger reasoning and coding models.
Explore this workflowPlan campaigns, generate creative directions, produce copy variants, and turn concepts into image and video assets.
Explore this workflowCreate call prep, objection handling, follow-up drafts, competitive talk tracks, and account-specific enablement materials.
Explore this workflowResearch markets, compare competitors, summarize public information, and turn findings into decision-ready briefs.
Explore this workflowBuild scripts, scene plans, shot lists, video prompts, fallback concepts, and generated video previews.
Explore this workflowCreate SOPs, process maps, internal guides, training content, meeting summaries, and implementation checklists.
Explore this workflowA planned repo-aware workflow for moving from a scoped task to a tested, reviewable change.
Preview concept · No release date announced
Coding Agents are planned to inspect a repository, build against a scoped task, run the project checks, and prepare a reviewable change without leaving EZ Ai Assist.
Plan
complete
Build
active
Test
queued
Review
queued
EZ Ai Assist / agent-workspace
Repository
Task plan
Terminal
Checks passing$ npm run type-check
✓ Types valid
$ npm run test
✓ 18 tests passed
Diff preview
2 files@@ agent task panel @@
+ render task progress and check status
+ surface a review-ready diff summary
return buildResult;
Start in the app, explore the pricing that fits your workflow, or talk with sales about broader team needs.