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Most store AI failures are IDs, APIs, ownership, and evals — not the model. Plan against a published ~$791/mo platform floor at 50K sessions — that is cost, not savings. Run the pre-model gate first.
A shopper asks ChatGPT for a blue tee in medium. Adobe's July 2026 cohort says 39% of retail homepages still aren't machine-readable — and size, stock, and price live on the PDP, not the slogan. GEO is product facts, not a rank guarantee.
LangChain composes Bedrock models, tools, and retrieval; AgentCore hosts production agents. Reuse the B2B CRM Gateway canary (~180→95 ms) and 50K-session ~$791/mo silhouette — do not give the model the warehouse.
On August 19, 2026 AWS enabled live-web fetch for Bedrock Web Search in 3 US Regions. Default external_web_access is true; AmazonBedrockFullAccess still does not grant ExternalWebAccess — and the 403 does not fail the request.
On June 15, 2026 Grok 4.3 GA on Bedrock Mantle at $1.25/$2.50 per 1M. On August 19, 2026 Grok 4.6 added Converse + US Geo/Global CRIS at $2.00–$2.20 / $6.00–$6.60 — do not jump on name alone.
On July 30, 2026 AWS cut Bedrock on-demand prices 80% for GPT-5.6 Luna and 20% for Terra — Luna is now $0.22/$1.32 per 1M tokens. Here is the routing math and what not to re-price overnight.
Quick Suite GA October 2025; Q Business and Kendra freeze new customers after July 30, 2026. A 420-seat professional-services firm paused a $38K/year Kendra quote and cut evaluation from 9 weeks to 3 by starting on Quick instead.
February 2026 server-side tool execution via AgentCore Gateway + Responses API cut median tool-round-trip latency ~180 ms → ~95 ms on a 12-tool SaaS CRM assistant by removing the client orchestration hop.
First-party TCO benchmark (July 2026): 500-employee Quick Suite ~$3,580/mo vs AgentCore support agent ~$791/mo at 50K sessions. CTO framework for choosing managed assistants vs custom agent infrastructure on AWS.
Bedrock AgentCore is metered across twelve distinct components — Runtime, Browser, Code Interpreter, Gateway, Identity, Memory (two tiers), Observability, Evaluations, Payments, Search, and the underlying model spend. Two of them drive 80% of the bill.
SageMaker AI Savings Plans deliver up to 64% off SageMaker training, real-time inference, async inference, serverless inference, and processing jobs in exchange for 1-year or 3-year hourly commitment. Compute Savings Plans do NOT cover SageMaker — this is a separate purchase. The break-even is dramatically faster than RI-style commits for steady ML production workloads.
On September 1, 2026 AWS GA’d Claude Fable 5.1 — 1M-token context, 128K output, Covered Model with 30-day retention. Fable 5 (June 9) remains the prior pin; here is the fit decision, not the press release.