AI Resources

A general-purpose AI workspace for drafting, reasoning, research, coding, and rapid prototyping.

Reach for it as the front door to broad, cross-functional AI work.

A long-context model family built for careful reasoning, analysis, writing, and reliable agentic work.

Choose it when dense context, deliberate reasoning, and dependable execution matter most.

Google's frontier model family for multimodal reasoning, long context, and Workspace-native workflows.

Use it for cost-controlled frontier deployments or work already centered in Google Workspace.

A frontier model with native real-time web and X grounding for current-event reasoning.

Use it when the answer depends on the last hour, not the last training run.

A practical class of self-hostable models for teams prioritizing residency, control, and unit economics.

Choose open weights when data residency, self-hosting, or cost matters more than the final benchmark points.

A terminal-native agentic engineer that reads repositories, plans changes, edits files, runs tests, and opens pull requests.

Use it for supervised engineering that needs depth, execution, and an audit trail instead of autocomplete.

A CLI and cloud coding agent that takes scoped tickets, drafts changes asynchronously, and reviews pull requests.

Use it to parallelize well-specified engineering work across many tickets at once.

An AI-native editor with codebase-aware chat, multi-file edits, cloud agents, and code review.

Choose it when you want the model inside the editing loop rather than beside it.

GitHub-native coding assistance for in-editor completion, scaffolding, and pull request workflows.

Use it as the low-friction paid baseline for teams already standardized on GitHub.

An open protocol for connecting models to tools, data, and business systems through a shared integration contract.

Use it when an AI system must reach real tools and data without bespoke glue for every integration.

A graph-based orchestration framework for stateful, durable, and reviewable agent workflows.

Use it when an agent needs durability and auditability rather than a simple prompt chain.

A core platform for discovering, testing, and shipping open models across NLP, vision, audio, and multimodal AI.

Essential when a team wants breadth, open-model experimentation, and direct access to the wider model ecosystem.

Google's image generation and editing system built directly into Gemini for fast, consistent visual work.

Use it as the everyday default for photorealistic generation and high-fidelity editing.

OpenAI's production image model for precise prompting, conversational edits, and readable text in generated assets.

Choose it for marketing assets where the copy needs to render correctly on the first try.

An image generation system focused on visual taste, mood, and polished aesthetic direction.

Use it when the visual feeling matters more than literal prompt compliance.

An open-weight, API-first image family built for photorealism, color precision, and controlled custom pipelines.

Choose it when control, custom infrastructure, or on-prem generation matters most.

Google's cinematic text-to-video system with native synchronized audio and enterprise-oriented availability.

Use it for 16:9 brand and YouTube work that needs to clear legal review.

A value-focused video generation platform with strong photorealistic human motion and image-to-video output.

Use it for high-volume vertical social video where cost per usable clip is the deciding metric.

A controlled image-to-video platform with reference images, camera direction, and a complete editing suite.

Use it when you need to direct a shot instead of hoping for a lucky generation.

A voice synthesis and cloning platform extended into fully licensed, production-quality music generation.

Use it when synthetic voice quality directly affects product experience or conversion.

An end-to-end song generation platform with strong vocals, broad genre coverage, and an AI-native studio workflow.

Use it when you need a complete song concept with coherent vocals and arrangement.

An AI-native answer engine that combines live retrieval, synthesis, and visible sources.

Use it to find, compare, and cite information quickly without losing the source trail.

A source-grounded research workspace that answers strictly from uploaded material and turns it into structured artifacts.

Use it when synthesis must trace back to a specific source with no invented outside context.