Buyer prompt · published evidence

Recommend a framework for role-based multi-agent teams, explicit handoffs, delegation, and human approval steps.

An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.

Intent
recommendation
Model providers
3
Categories
1
Last observed
Aug 6, 2026, 12:00 AM UTC
Competitive outcome

Brands surfaced

Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.

#BrandCategoryProvidersMentionsOwned citationsProvider evidence
01CrewAIcrewai.comAgent frameworks120Openai
02Microsoft Agent Frameworkmicrosoft.comAgent frameworks111Gemini
Model comparison

Answer matrix

One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.

ProviderModel versionCategoryBrands surfacedCitationsUnique domainsAnswer hash
Openaiopenai/gpt-4o-miniAgent frameworksCrewAI55586e7ea3…b4847
Anthropicanthropic/claude-haiku-4-5Agent frameworksNone observed009db0454a…8c804
Geminigoogle/gemini-2.5-flashAgent frameworksMicrosoft Agent Framework66f0d210ec…131fc
URL-derived citations

Sources cited

Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.

Snapshot IDs8b3b3b29-46fc-49e3-8a31-7fd726fb5b88
Corpus versionsai-agent-frameworks-2026-07-27
Benchmark versions4-ai-agent-frameworks-2026-07-27-models-64232fd32583

Coverage: Agent frameworks. Full answers stored: no · Full answers published: no · Tenant data included: no.