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Summary

This note tracks the current official product signals around deep research as a category, not just as a single case study. It is meant to help contributors extend the lab’s deep-research coverage with current product positioning from OpenAI and Google.

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Why It Matters

Deep research is turning into a recognizable agent shape: long-running, source-aware, analyst-style work that gathers evidence, synthesizes it into a report, and increasingly connects to trusted or private systems. That makes it useful across case studies, platform comparisons, and future starter projects.

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Scope Notes

Included:
  • OpenAI’s current deep research positioning in ChatGPT
  • Google’s developer API framing for Gemini Deep Research
  • Google’s April 2026 Deep Research Max update
Excluded:
  • implementation walkthroughs for one specific UI
  • benchmark deep dives beyond what the official product pages mention
  • broader research-assistant tooling that is not framed as deep research

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Source Map

  • Introducing deep research: OpenAI describes deep research as a multi-step internet research agent and notes the February 10, 2026 update that added MCP and app connections, trusted-site search controls, and improved progress tracking.
  • Build with Gemini Deep Research: Google exposes Gemini Deep Research through the Interactions API and frames it as an embeddable agent for long-running context gathering and synthesis.
  • Introducing Deep Research and Deep Research Max: Google positions the April 21, 2026 release around MCP support, native visualizations, and better performance on long-horizon research workflows.

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Synthesis

Three stable signals stand out across these sources:
  • Deep research is being framed as work product, not just chat. OpenAI describes analyst-level reports built from many sources, while Google frames Deep Research as a long-running synthesis agent.
  • The product boundary is moving beyond public web search. OpenAI added MCP and app connections plus trusted-site restrictions in the February 10, 2026 update. Google’s April 2026 update adds MCP support for custom and professional data sources.
  • Deep research is splitting into both end-user and developer surfaces. OpenAI centers ChatGPT usage, while Google now exposes the shape directly through the Interactions API for embedded product use.
This means the lab should treat deep research as a broader product category with shared traits such as planning, evidence gathering, traceability, and artifact quality rather than as one isolated feature from one vendor.

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Gaps And Follow-up

  • Expand Deep Research Agents with a short product-signals section so the case study acknowledges current market movement.
  • Add a follow-up note focused on evaluation and trust boundaries for long-running research agents.
  • Revisit whether a starter project should support trusted-source constraints or MCP-connected private data in a future iteration.

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Update Log

  • 2026-04-23: Added a contributor-facing product-signals note based on current OpenAI and Google sources.