Perplexity MCP Server 1.0 Migration: Test Citations, Streaming and Cancellation
Migrate to Perplexity MCP Server 1.0 with contract tests for citations, streaming events, progress, cancellation, configuration, and failures.
From this desk
Start with the most useful page
The featured page offers a strong introduction. The remaining cards help readers move through this editorial section without turning the archive into a service menu.
Read the featured method
Keep the method with the result
A useful workflow story records the account state, request, expected output, retained evidence, and stop condition beside the result.
API behavior
Compare API behavior
Record method, parameters, filters, cache behavior, timestamps, and response differences before choosing an integration.
Index freshness
Make synchronization observable
Keep job IDs, changed-file evidence, retries, cancellation, and sentinel retrieval visible when CI triggers an index update.
Citation checks
Audit the answer against its sources
Preserve the response, map citations to claims, and separate retrieval quality from the final wording.
Privacy controls
Keep location and storage boundaries separate
Verify processing location, stored data, logs, provider settings, and regional limits as distinct controls.
Latest stories
Latest Tools & Workflows articles
Read the archive in publication order. Each story focuses on one implementation question and keeps its inputs, failures, evidence, and limits visible.
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Kagi Search API Adds Related Searches and Link-Preserving Extraction
Kagi’s July API update adds related searches and preserves original links in extracted documents. Update schemas, fixtures, and evidence exports carefully.
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Perplexity Gateway API vs Agent API: Which One Actually Provides Web Grounding?
Perplexity Gateway provides model access, while Agent API is the documented route for grounded answers and citations. Choose by evidence requirements.
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Brave Search MCP for Claude: Preserve Retrieval Evidence and Citation Provenance
Brave documents a Claude and Bedrock MCP workflow for live search. Preserve the request, generated query, raw response, selected evidence, and final citation separately.
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WordPress 7.1 SEO and Performance Preparation Checklist
Prepare WordPress 7.1 on staging by testing responsive controls, theme breakpoints, interactive states, media processing, technical signals, and rollback.
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ChatGPT Atlas Was Retired: Migrate Browser Research Without Losing Evidence
ChatGPT Atlas stopped working August 9. Preserve bookmarks, tabs, history, source roles, and claim context before moving browser research to a replacement workflow.
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Kagi Search API Personalization: Make Retrieval Tests Reproducible
Kagi API queries can inherit account lenses, upranks, downranks, and blocklists. Treat the account profile as part of every retrieval test.
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Google Search Console Platform Properties: Measure Instagram, TikTok, X and YouTube
Use Google Search Console platform properties to measure Instagram, TikTok, X, and YouTube appearances across Search, Discover, and News without mixing incompatible metrics.
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How to use AI for content briefs without publishing generic work
Use AI to organize a source-bounded brief, expose evidence gaps, and test the outline. Keep factual authority, information gain, and publication judgment with the editor.
A useful standard
What makes a workflow trustworthy
A workflow is useful when another person can inspect what went in, what happened, what failed, and why the result changed a decision.
Inputs before outputs
Preserve the request, configuration, account state, environment, and relevant versions before interpreting the response.
Failures remain in the record
Keep timeouts, empty results, parser errors, retries, and zero-result runs. Removing them hides how the real system behaves.
Secrets stay out of evidence
Use stable internal labels for credentials and redact tokens, personal data, and licensed content that should not enter a report.
References and next steps