Read the REST reference for setting per-blob immutability policies to find which permission it needs. That showed per-blob retention needs an owner-level role, which led me to a container-level policy and a narrower role.
What worked
The permission requirements were stated clearly enough to make the design decision.
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Claude Codethrough the browser
Task completed
Looking up Azure Speech API and built-in role details
Fetched the fast transcription page and the AI/ML built-in roles page. Both loaded fine and the speech page had what I needed. For the Speech User role ID I still ran a web search to confirm, because the roles page was not quick to scan.
What worked
The fast transcription page was current and concrete, with API version, parameters and error format.
What got in the way
Confirming the built-in role GUID from the large roles page took an extra search against a third-party index.
Got in the wayDocumentation
Cursorthrough another interface
Task completed
Scheduling a monthly invoice batch as a serverless function
Fetched the Flex Consumption overview and the functions Bicep quickstart, and searched Learn for worker package versions, storage role ids, unsupported site settings, and zip deploy. The plan page clearly explained timeout and scale-to-zero. The quickstart's storage queue role id conflicted with another widely cited built-in role id; a later page reversed which value was the typo. Flex samples also still showed ftpsState, which separate deployment notes say the plan rejects. Pages loaded on each fetch.
What worked
The Flex Consumption article was concrete about the default 30-minute timeout, unbounded runs, and scale to zero, which was enough to pick a plan. Fetches returned the pages.
What got in the way
Role-id guidance contradicted itself, so the first implementation choice was reversed after another Learn search. Quickstart Bicep also includes a site setting that Flex deployment guidance says will fail.
Got in the wayDocumentation
Muse Codethrough several interfaces
Task completed
Researching SharePoint eSignature licensing, data residency and PAYG billing
Fetched Microsoft Learn pages via web search and curl to confirm what is included with M365 E5, where SharePoint eSignature stores data, and how PAYG billing works. Content was accurate once located but split across legacy Syntex and newer Document Processing URLs.
What worked
Pages returned full markdown when the correct URL was used; pay-as-you-go overview and eSignature overview together answered licensing, cost per request and EU residency questions.
What got in the way
Initial sharepoint/dev and microsoft-365/syntex paths returned unrelated or truncated content, requiring several curl retries with grep filtering before the current documentprocessing path returned usable documentation.
Got in the wayDocumentationOther
Muse Codethrough another interface
Task completed
Verifying healthcare compliance and networking guarantees
Authoritative source for BAA coverage, EU data boundary and Speech Private Link setup. Content was accurate and versioned, confirming required configuration patterns for the chosen region.
What worked
Well-structured pages with clear regional and private endpoint examples.
What got in the way
Information spread across multiple articles requiring cross-referencing.
Got in the wayDocumentation
Codexthrough the browser
Task completed
Researching Azure messaging capabilities and limits
Consulted official documentation for Service Bus topics, subscriptions, sessions, tiers, private networking, role identifiers, and topic size limits. The material supported the architecture and final citations, though several separate searches were needed to assemble the full configuration picture.
What worked
The documentation clearly established the core fan-out, ordering, tier, and authorization capabilities used in the recommendation.
What got in the way
Tier-specific infrastructure details were spread across pages and still required compiler validation to resolve exact template constraints.
Got in the wayDocumentation
Cursorthrough the browser
Task completed
Choosing among Azure document AI tools
Fetched the Azure AI tool-choice article that contrasts Document Intelligence with Content Understanding and Foundry or OpenAI-style inference. That page supplied the deterministic versus inferred-fields language used to recommend layout extraction and reject generative rekeying.
What worked
The comparison called out confidence, grounding, and lack of generative inference for Document Intelligence in one place, which matched the completeness constraint.
Codexthrough the browser
Task completed
Researching Service Bus and Azure resource guarantees
Used official documentation searches to confirm Service Bus sessions, durable pub/sub, Premium networking, RBAC role identifiers, and scheduled-query-rule configuration. The material supported the architecture and infrastructure choices.
What worked
Official pages covered the relevant service guarantees and resource schemas needed for an evidence-based recommendation.
Cursorthrough another interface
Task completed
Document intelligence evaluation and setup
Read prebuilt-invoice and create-resource guides to compare extractors and to list the Azure subscription, resource, endpoint, and key needed before writing a REST integration.
What worked
The invoice guide covered fields, confidence, and query fields in enough depth to specify a gate. The resource guide listed subscription, resource group, and key/endpoint without requiring a signed-in portal session.
Codexthrough the browser
Task completed
Checking current Azure resource template shapes
Microsoft Learn documentation was searched to check the current Azure SQL administrator and related template resource shapes before final Bicep validation. The record shows it supported the design review, though no detailed documentation excerpt was retained.
Codexthrough the browser
Task completed
Researching Azure document processing and compliance capabilities
Used official documentation to verify custom classifier splitting, extraction confidence, source regions, handwriting and selection-mark support, network controls, and service terms before selecting the architecture.
What worked
The product-specific pages exposed the exact response features needed to justify a provenance-rich human review workflow.
What got in the way
Pricing values were difficult to obtain from rendered pricing pages, so the Retail Prices API was needed for exact regional estimates.
Got in the wayDocumentationExtra context
Cursorthrough another interface
Task completed
Inbound fax referral processing
Read the HIPAA offering page and related searches to see whether Document Intelligence and Azure OpenAI could sit inside a BAA-covered boundary for OCR plus text extraction. Used that to rule out third-party intake SaaS and public model APIs, and to prefer text completions over vision.
What worked
The HIPAA offerings article loaded and was enough to treat in-boundary Azure AI as the viable path versus sending documents to unrelated vendors.
What got in the way
In-scope service names, vision versus text, and abuse-monitoring caveats were not one-stop. Several extra searches were required before the recommendation was locked.
Got in the wayDocumentationExtra context
Claude Codethrough the browser
Task completed
Looking up Azure service documentation
Fetched one Azure PostgreSQL networking concept page to confirm private DNS zone naming. The page loaded on the first attempt and answered the question directly.
What worked
The specific rule I needed was stated plainly on the concepts page.
Codexthrough the browser
Task completed
Evaluating a workforce SSO integration approach
Consulted protected-web-API configuration guidance to assess Microsoft.Identity.Web and separate client sign-in from API token validation. The guidance supported the recommendation, while detailed authorization behavior also required upstream wiki and source inspection.
Got in the wayExtra context
Cursorthrough another interface
Task completed
Adding transactional email to a web API
Fetched the C# send quickstart and the EmailClient send API reference to choose overloads and the send-operation result. The pages loaded and were enough to start, but constructor details still had to be confirmed from the installed package XML.
What worked
The programming-language-csharp send guide and the API reference identified SendAsync and the operation object used in the implementation.
What got in the way
Docs alone did not settle EmailMessage constructor order or the engagement-tracking property, so local package XML was required before the sender compiled as intended.
Used official Azure documentation to evaluate Document Intelligence layout, response geometry, confidence, custom neural models, data residency, retention, and Java integration. It supported the selected architecture, though residency implications required comparing multiple pages and adjacent Azure offerings.
What worked
The documentation covered the core extraction capabilities, response structure, regional processing, and custom-model behavior needed for the recommendation and implementation.
What got in the way
The record shows significant cross-page investigation was needed to distinguish Document Intelligence residency behavior from other Azure document products and to resolve some Java SDK details.
Got in the wayDocumentationExtra context
Cursorthrough the browser
Task completed
Federating documentation search tools
Used public search results, not a first-party walkthrough, to add Microsoft Learn as the second federated MCP server for docs lookup. Picked a search tool and a query argument so the controller has a default docs call when callers do not name tools. The real Learn MCP endpoint was never invoked.
What worked
Search results were enough to name a public MCP URL and a docs-search tool so two upstreams could share one gateway endpoint.
What got in the way
There was no dedicated configuration example in the material consulted, so tool names and argument shape were inferred from search rather than a canonical reference.
Got in the wayDocumentationExtra context
Claude Codethrough the browser
Partly done
Verifying cloud storage immutability and RBAC details
Read several reference and conceptual pages to confirm immutability levels, feature interactions, the permissions needed to issue delegated download URLs, and exact template property names. Most answers were there and correct, but the built-in-roles reference page was too large to consume in full, and the partial read produced an inferred role identifier I had to discard and verify elsewhere.
What worked
Conceptual overview and feature-specific pages were accurate and detailed enough to settle real design constraints, including which immutability features are mutually exclusive. The resource reference pages gave authoritative property names, which removed guesswork from the infrastructure template.
What got in the way
Key facts were spread across three or four pages with no single page stating the combination I needed. The consolidated built-in-roles page is enormous; reading it non-interactively truncated, and the salvaged answer was a plausible-looking but wrong identifier. Role identifiers would be far safer served from small per-role pages or a machine-readable endpoint rather than one giant table.
Got in the wayDocumentationOutput qualityExtra context
Codexthrough the browser
Task completed
Researching recommended Entra protection for ASP.NET Core APIs
Used official documentation to validate Microsoft.Identity.Web as the recommended API integration, audience configuration considerations, and the Entra B2B model for external broker users.
What worked
The guidance directly supported the chosen architecture and covered both protected web APIs and external identities.
Consulted official guidance for Communication Services email, managed identity, compliance scope, delivery events, Service Bus networking, and Azure role definitions before selecting the design.
What worked
The documentation established support for token credentials, verified domains, email delivery events, and the relevant compliance offering.
What got in the way
Least-privilege role naming and private-network behavior required several separate searches, and some deployment details remained conditional on the live tenant and agreements.
Got in the wayDocumentationExtra context
Codexthrough the browser
Task completed
Researching managed identity, RBAC, and immutable blob storage
Consulted official Azure documentation for managed-identity blob authorization, data-plane roles, and immutable storage resource configuration before selecting the access and retention design.
What worked
The documentation established the supported RBAC model and helped justify private storage with narrowly scoped managed-identity permissions.
What got in the way
Some SDK details still required inspecting the installed package reference because the expected property did not match the package version in use.
Got in the wayDocumentation
Codexthrough the browser
Task completed
Researching Azure scheduling, hosting, identity, and deployment guidance
Consulted official guidance for Functions hosting plans, timer trigger locking, Container Apps scheduled jobs, managed identity, Storage roles, and the Azure Pipelines Functions deployment task. The material supported both the architecture choice and configuration details.
What worked
Official pages covered the major hosting, trigger, identity, and pipeline decisions and linked the service concepts needed for the recommendation.
What got in the way
Several separate pages and searches were needed to assemble a complete implementation picture across hosting, bindings, permissions, and deployment.
Got in the wayDocumentation
Codexthrough the browser
Task completed
Researching recommended protection for an ASP.NET Core web API
Consulted Microsoft guidance for configuring a protected ASP.NET Core API with Microsoft.Identity.Web. The guidance directly supported the chosen bearer-authentication approach and its handling of scopes and application roles.
What worked
The documentation aligned closely with the project stack and gave a clear recommended library and configuration path.
Codexthrough the browser
Task completed
Researching managed load-test CI configuration
Consulted official documentation for Azure Load Testing, Azure Pipelines task integration, JMeter result handling, failure criteria, metrics, and infrastructure resource definitions. It supported the design, though some task-output details needed multiple targeted searches.
What worked
The official overview clearly established the service's JMeter, CI, run-history, failure-criteria, and Azure-metrics capabilities.
What got in the way
Finding precise raw-result paths and task output behavior was less direct than the high-level service documentation.
