Inside the Gemini Agent Factory: Building Multimodal Workflows in 48 Hours

Gemini 3's agentic headline feels abstract until you watch a workflow reroute itself in production. During November's Agent Factory sprint we paired Evolink Workflows with Gemini 3 Pro Preview, turning fragmented support macros into a self-healing, multimodal concierge.

Architecture Snapshot

• Entrypoint: API Gateway receives raw tickets, context packs (docs, screenshots, timeline), and attaches a streaming Gemini session.
• Orchestration: A lightweight Planner prompts Gemini to decide which task graph to execute (lookup policy, triage attachments, craft response, escalate).
• Action layer: Canvas blocks call third-party APIs (Linear, Stripe) while Gemini keeps the memory window synchronized through Evolink's shared context store.

The crucial trick was letting Gemini 3 maintain tool state for 1M tokens. Rather than repeatedly summarizing the ticket, we pinned structured context objects (customer tier, SLA, transcript) and instructed Gemini to diff them. Latency dropped 28% because we only regenerated deltas.

Multimodal Reasoning in Practice

One of our testers uploaded a grainy warehouse video showing a mis-labeled pallet. Gemini 3 parsed the frame sequence, aligned it with the manifest PDF we already stored, and generated a corrective pick list. No vision-specific prompts—we simply added the video URL inside the memory chain. The model's improved motion reasoning meant it kept track of the forklift's path without additional constraints.

Tip: declare camera movements and lighting in your prompt. Gemini 3's scene consistency jumped from 62% to 87% when we specified phrases like "wide dolly shot" or "backlit tungsten".

Shipping Checklist

1. Model routing: Keep Gemini 3 Pro for planning and swap to Flash for deterministic CRUD updates. Use Evolink's tool calling guardrails to enforce this.
2. Monitoring: Mirror chain-of-thought tokens into Observability so you can diff how the agent made a decision before pushing UI updates.
3. Human handoffs: Gemini's plan JSON already includes confidence. Surface that in your UI to toggle "ask a teammate" flows.

Why It Matters

Gemini 3 is no longer just a reasoning engine—it is a context operating system. When paired with Evolink's canvas we got:

• 41% faster close times on logistics tickets.
• Automatic inclusion of compliance quotes from our private doc set.
• Sharable "action films": gif-level replays of what tools the agent touched, great for onboarding.

If you're evaluating where to start, wire a single workflow that already mixes structured data + screenshots. Gemini 3 needs that sensory cocktail to shine.