Partner Google

Google Cloud — Partner Intelligence

Current state (as of 2026-05-17)

Gemini 3 is the current flagship model line, with Gemini 3.1 Flash Image ("Nano Banana 2" / NB2) as the multimodal image-edit + generation surface, Veo for video, and Imagen for stills. The Google Agent Development Kit (ADK) is the first-party agent framework — Python primary, TypeScript second-class — and the A2A (Agent-to-Agent) protocol is the first-party interop spec for cross-agent communication via Agent Cards. Vertex AI continues to anchor the managed-model + managed-pipeline lane on Google Cloud. Cloud Partner Advantage is the partner program (Sell + Service + Build engagement tracks).

Product map

• Gemini (model family) — Gemini 3 (flagship), Gemini 3 Pro, Gemini 3 Flash, Gemini 3.1 Flash Image (NB2 / Nano Banana 2), Veo (video), Imagen (stills). Frank uses Gemini 3.1 Flash Image daily for multimodal delivery.
• Vertex AI — managed model serving, training, evaluation, deployment. The enterprise lane for Gemini and partner models on Google Cloud.
• Google AI Studio — developer surface for Gemini API.
• Agent Development Kit (ADK) — first-party agent framework. Python primary. Multi-agent orchestration, tool use, deployment to Vertex AI Agent Engine.
• Agent Engine (Vertex AI) — managed runtime for ADK agents.
• A2A protocol (Agent-to-Agent) — open spec for cross-agent communication via Agent Cards. JSON-RPC-style wire format, capability discovery via Agent Card, task lifecycle primitives. Public spec.
• Google Agents CLI — Python CLI + skills bundle for ADK (NOT a separate framework — it ships ADK ergonomics).
• Google Cloud Partner Advantage — partner program. Tracks: Sell, Service, Build. Entry criteria: revenue + technical certifications + customer references (to verify against current Partner Advantage page).
• Open-source artifacts — ADK (Apache 2.0), A2A protocol spec + reference servers (Apache 2.0), Vertex AI SDK (Apache 2.0).

Pricing tiers (May 2026, to verify against current pricing page)

• Free (AI Studio) — free Gemini API tier with daily request limits, no commercial use on free tier.
• Pay-as-you-go (Vertex AI) — per-token pricing. Gemini 3 Pro ~$1.25/$10 per million input/output (to verify); Gemini 3 Flash significantly lower.
• Veo / Imagen — per-generation pricing on Vertex AI.
• Enterprise (Vertex AI + contracted spend) — committed-use discounts via Google Cloud sales.
• Agent Engine — per-agent + per-task compute pricing (to verify).
• Cloud Partner Advantage — no fee for entry; revenue + certification gates determine tier.

Programs Frank is pursuing

• Google Cloud Partner Advantage — pursuit underway. Entry criteria: technical certifications (Google Cloud Professional Architect / ML Engineer), customer-reference evidence, demonstrated GCP-aligned delivery. Frank's qualifier: Gemini in daily multimodal delivery, Google ADK + A2A in the workshop enterprise lane and the Starlight Agent Lab three-lane portfolio, public A2A protocol guide at /guides/agent-card-a2a-spec, 7,000-strong EMEA architect audience. Value to Frank: workshop attendee credits (the higher-value mechanic over commission), Deploy-to-GCP CTAs on /ai-architecture reference deploys, partner attribution.

Frank's working stack with Google Cloud

• Gemini 3.1 Flash Image (NB2 / Nano Banana 2) — daily multimodal delivery. Image hero generation for /intelligence-system, /library, /papa, /research content surfaces. Pattern: always derive file extension from inlineData.mimeType, never hardcode .png. Pass imageSize: '2K' to NB Pro for retina hero quality.
• Veo + Imagen — video and still generation when the brief calls for them.
• Google ADK — enterprise lane in Starlight Agent Lab three-lane portfolio (Vercel AI SDK web / Claude Agent SDK reasoning / Google ADK enterprise).
• A2A protocol — public reference implementation documented end-to-end at /guides/agent-card-a2a-spec. Written from hands-on use, with wire-level detail an enterprise architect needs.
• Vertex AI — referenced in /ai-architecture and AI Architect Academy curriculum for the GCP-anchored deploy lane.

Frank's audience funnel touching Google

• LinkedIn (~7,000 EMEA architects) — Gemini and ADK + A2A content lands on the architect audience. The A2A protocol guide is one of the most-referenced pieces in the agent-framework comparison content.
• Workshop touchpoint — Build First AI Agent workshop ADK branch — one of the enterprise tracks. Cohort gets hands-on ADK and Agent Cards.
• Public content surfaces — /guides/agent-card-a2a-spec, /workshops/build-first-ai-agent, /research/agent-frameworks, /ai-architecture, /ai-coe, /os modules.
• Public reference implementations — A2A guide, Starlight Agent Lab three-lane portfolio brief.

Integration patterns Frank ships

1. Gemini NB2 image generation — derive file extension from inlineData.mimeType (never hardcode .png from slug — caught SIS regression 2026-04-25). Pass imageSize: '2K' to NB Pro for retina hero quality.
2. ADK multi-agent pattern (Python) — Agent + sub-Agent orchestration, tool registration, deployment to Vertex AI Agent Engine. Reference shape for the workshop enterprise lane.
3. A2A protocol implementation — Agent Card JSON schema (capabilities, skills, endpoints), JSON-RPC-style task lifecycle (tasks/send, tasks/get, tasks/cancel). Reference at /guides/agent-card-a2a-spec.
4. Vertex AI Gemini production deploy — managed model serving for Gemini on Vertex AI with regional residency. Pattern in the GCP-anchored /ai-architecture reference.
5. Multi-cloud agent harness with ADK enterprise lane — Vercel AI SDK on the web lane, Claude Agent SDK on the reasoning lane, Google ADK on the enterprise lane. Reference: Starlight Agent Lab three-lane portfolio.

Things to watch (May 2026 → next 90 days)

• Gemini 4 family — next-gen flagship line rumored for mid-2026 (to verify).
• ADK TypeScript first-class support — current Python primacy is the friction point for Next-on-Vercel teams.
• A2A protocol ecosystem maturation — non-Google reference servers, Anthropic + OpenAI + Vercel adoption signals.
• Agent Engine GA + pricing settling — managed runtime pricing shapes the production agent story on GCP.
• Cloud Partner Advantage AI-track changes — the program is evolving to recognize agent-platform partners; verify current criteria.

Voice rules when writing about Google Cloud

• Verifiable claims only — every product/pricing fact resolves to a public URL or is marked "to verify".
• Never "Google Cloud partner" without the program qualifier ("pursuing Google Cloud Partner Advantage").
• Never claim formal partnership, revenue share, or co-marketing arrangement that does not exist.
• Honor partner-google namespace pattern in all references.
• The "Google Agents CLI is NOT a framework" correction matters — it is a Python CLI + skills bundle for ADK, not a separate framework. Get this right in all written content.
• Peer-architect voice — Frank is operator-side (Gemini in daily delivery, ADK in workshop), not Google-employee-flavored.
• No emojis, no AI-tone words (delve, dive into, transform, revolutionize, accelerate, journey, unleash, unlock, empower).

Cross-references

• Public partnership page: https://www.frankx.ai/partnerships/google
• Outreach packet: docs/private/outreach/2026-05-14-partnerships-send-ready.md
• Private brief: .frankx/private/partnerships/google-brief.md (gitignored)
• Public skill: ~/.claude/skills/partner-google/SKILL.md (this file)
• Specialist agent: ~/.claude/agents/partner-google.md (separate)
• Working repos: frankxai/ai-architect-academy, frankxai/FrankX (A2A guide), C:\Users\frank\starlight-agent-lab (ADK enterprise lane)
• A2A guide: https://www.frankx.ai/guides/agent-card-a2a-spec
• Frank's stake: Gemini in daily multimodal delivery. ADK + A2A is the enterprise lane in Build First AI Agent workshop. Public A2A protocol guide already in market. Cloud Partner Advantage is the formal lane being pursued — attendee credits the higher-value mechanic.