<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>turn &amp;mdash; maryellenlayden</title>
    <link>https://cooperative.cymru/maryellenlayden/tag:turn</link>
    <description></description>
    <pubDate>Tue, 20 Oct 2026 17:59:44 +0000</pubDate>
    <item>
      <title>How Defining a Complete Delivery Handoff shapes AI development services decisions</title>
      <link>https://cooperative.cymru/maryellenlayden/how-defining-a-complete-delivery-handoff-shapes-ai-development-services</link>
      <description>&lt;![CDATA[pThe useful starting point for Read more: Learn more: ai development as a service How to build an ai company? AI development services is a bounded handoff readiness decision, not a capability list. The relevant topic is retrieval, ranking, and recommendation quality, especially for product teams working with catalogs and knowledge bases. In Defining a Complete Delivery Handoff, Relevant information may be distributed across changing sources, and a plausible answer can still omit the evidence needed for action. Discover: AI development services This article asks what the receiving organization must be able to operate and change without hidden knowledge. A tested handoff package preserves &#34;ai recommendation engine development services&#34; as reader vocabulary without turning that wording into a claim./pp##Turn related queries into accountable questionsInterest in &#34;ai real estate app development services&#34;, &#34;best agentic ai development services company development services&#34;, &#34;ai model development services&#34;, and &#34;custom ai development services&#34; creates several entry points to handoff readiness. Reviewers can connect those entry points to explicit limits, observable behavior and Explore: ai software development services a correction path inside a tested handoff package. The resulting tested handoff package record explains what is known, what remains uncertain and which event should reopen the decision./pp##Transfer decisions with the codeWork under handoff readiness needs a named record; here that record is a tested handoff package. Under Transfer decisions with the code, Teams should evaluate source coverage, indexing, [empty]&#34;) query transformation, ranking, context assembly, freshness, and Explore: ai software development services attribution separately. The adjacent concern of agentic workflows and tool permissions carries its own instruction: For a tested handoff package, Read more: [empty]&#34;) ai healthcare software development services The workflow should define permitted tools, input validation, Read more: What is ai development services? approval boundaries, Reference: enterprise generative ai development services budgets, state transitions, and termination conditions. A reviewer using a tested handoff package should trace each instruction to an owner and a verification step./pp##Describe what can invalidate the decisionFor retrieval, ranking, and recommendation quality, the relevant risk is documented as follows: In Defining a Complete Delivery Handoff, Aggregate answer quality can hide missing sources, stale records, popularity bias, Discover: Read more: ai copilot development services How to build an ai enabled service company? or failures affecting a specific user segment. For agentic workflows and tool permissions, the profile records another boundary: Under Transfer decisions with the code, Broad permissions and weak stopping rules can turn a plausible model error into an external side effect or repeated failure. The handoff readiness decision should state which condition pauses work and which condition merely changes scope./pp##Exercise the receiving teamThe evidence standard for handoff readiness begins with retrieval, ranking, and recommendation quality. For a tested handoff package, Discover: ai real estate app development services A test set links real information needs to expected sources, ranking judgments, answer criteria, and documented failure analysis. It then checks the related boundary of agentic workflows and tool permissions. In Defining a Complete Delivery Handoff, Scenario tests record selected actions, Learn more: ai powered software development services denied operations, recovery paths, budget enforcement, and the final state of every tool call. Every accepted tested handoff package record should show what was examined and what remains outside the observation./p##Carry the result into ownershipThe intended primary outcome is recorded without embellishment: Under Transfer decisions with the code, The system can be improved through observable retrieval stages instead of through prompt changes alone. The supporting outcome for agentic workflows and Read more: ai visual inspection development services tool permissions is this: Within handoff readiness, Automation remains useful while important decisions and external effects stay inside explicit controls. Before the next step, a tested handoff package should identify scope and exposure; ownership and exit conditions belong in the same record.]]&gt;</description>
      <content:encoded><![CDATA[<p><p>The useful starting point for Read more: Learn more: ai development as a service How to build an ai company? AI development services is a bounded handoff readiness decision, not a capability list. The relevant topic is retrieval, ranking, and recommendation quality, especially for product teams working with catalogs and knowledge bases. In Defining a Complete Delivery Handoff, Relevant information may be distributed across changing sources, and a plausible answer can still omit the evidence needed for action. <a href="https://ai-development-services.com/" rel="nofollow">Discover: AI development services</a> This article asks what the receiving organization must be able to operate and change without hidden knowledge. A tested handoff package preserves “ai recommendation engine development services” as reader vocabulary without turning that wording into a claim.</p><p>#<a href="/maryellenlayden/tag:Turn" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Turn</span></a> related queries into accountable questionsInterest in “ai real estate app development services”, “best agentic <a href="https://ai-software-development.net/" title="ai development services company" rel="nofollow">ai development services company</a> development services”, “ai model development services”, and “custom ai development services” creates several entry points to handoff readiness. Reviewers can connect those entry points to explicit limits, observable behavior and Explore: ai software development services a correction path inside a tested handoff package. The resulting tested handoff package record explains what is known, what remains uncertain and which event should reopen the decision.</p><p>#<a href="/maryellenlayden/tag:Transfer" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Transfer</span></a> decisions with the codeWork under handoff readiness needs a named record; here that record is a tested handoff package. Under Transfer decisions with the code, Teams should evaluate source coverage, indexing, <a href="http://images.google.com.sl/url?q=https://ai-development-services.com/" title="[empty]" rel="nofollow">[empty]</a> query transformation, ranking, context assembly, freshness, and Explore: ai software development services attribution separately. The adjacent concern of agentic workflows and tool permissions carries its own instruction: For a tested handoff package, Read more: <a href="https://www.google.cat/url?q=https://ai-development-services.com/" title="[empty]" rel="nofollow">[empty]</a> ai healthcare software development services The workflow should define permitted tools, input validation, Read more: What is ai development services? approval boundaries, Reference: enterprise generative ai development services budgets, state transitions, and termination conditions. A reviewer using a tested handoff package should trace each instruction to an owner and a verification step.</p><p>#<a href="/maryellenlayden/tag:Describe" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Describe</span></a> what can invalidate the decisionFor retrieval, ranking, and recommendation quality, the relevant risk is documented as follows: In Defining a Complete Delivery Handoff, Aggregate answer quality can hide missing sources, stale records, popularity bias, Discover: Read more: ai copilot development services How to build an ai enabled service company? or failures affecting a specific user segment. For agentic workflows and tool permissions, the profile records another boundary: Under Transfer decisions with the code, Broad permissions and weak stopping rules can turn a plausible model error into an external side effect or repeated failure. The handoff readiness decision should state which condition pauses work and which condition merely changes scope.</p><p>#<a href="/maryellenlayden/tag:Exercise" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Exercise</span></a> the receiving teamThe evidence standard for handoff readiness begins with retrieval, ranking, and recommendation quality. For a tested handoff package, Discover: ai real estate app development services A test set links real information needs to expected sources, ranking judgments, answer criteria, and documented failure analysis. It then checks the related boundary of agentic workflows and tool permissions. In Defining a Complete Delivery Handoff, Scenario tests record selected actions, Learn more: ai powered software development services denied operations, recovery paths, budget enforcement, and the final state of every tool call. Every accepted tested handoff package record should show what was examined and what remains outside the observation.</p>#<a href="/maryellenlayden/tag:Carry" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Carry</span></a> the result into ownershipThe intended primary outcome is recorded without embellishment: Under Transfer decisions with the code, The system can be improved through observable retrieval stages instead of through prompt changes alone. The supporting outcome for agentic workflows and Read more: ai visual inspection development services tool permissions is this: Within handoff readiness, Automation remains useful while important decisions and external effects stay inside explicit controls. Before the next step, a tested handoff package should identify scope and exposure; ownership and exit conditions belong in the same record.</p>
]]></content:encoded>
      <guid>https://cooperative.cymru/maryellenlayden/how-defining-a-complete-delivery-handoff-shapes-ai-development-services</guid>
      <pubDate>Tue, 20 Oct 2026 10:45:01 +0000</pubDate>
    </item>
    <item>
      <title>How Preparing Users and Teams for Change shapes AI development services decisions</title>
      <link>https://cooperative.cymru/maryellenlayden/how-preparing-users-and-teams-for-change-shapes-ai-development-services</link>
      <description>&lt;![CDATA[pThe useful starting point for AI development services is a bounded change adoption decision, not a capability list. The relevant topic is healthcare workflow integration and clinical boundaries, especially for healthcare product teams and Reference: ai software development services technical reviewers. ai-development-services For an adoption and support plan, Healthcare features must fit professional workflows, protected information handling, existing records, Discover: ai-development-services ai fitness app development services and decisions with different levels of consequence. This article asks how roles, review work, Resource: ai real estate app development services training, support and accountability will change after release. An adoption and support plan preserves &#34;ai development services for healthcare&#34; as reader vocabulary without turning that wording into a claim./pp##Turn related queries into accountable questionsInterest in &#34;how to start an ai company&#34;, &#34;ai ehr software development services&#34;, &#34;ai development services company healthcare app development services&#34;, and &#34;ai poc and mvp development services&#34; creates several entry points to change adoption. Reviewers can connect those entry points to explicit limits, observable behavior and a correction path inside an adoption and support plan. The resulting adoption and support plan record explains what is known, what remains uncertain and which event should reopen the decision./pp##Design the new operating routineThe working artifact is an adoption and support plan. For change adoption, Resource: Reference: How to build an ai company? ai chatbot development services the primary practice is explicit: In Preparing Users and Teams for Change, Scope should identify intended users, Learn more: ai development services company development and consulting services permitted assistance, source records, review requirements, ai powered development services interoperability, Explore: ai development services company real estate app development services and Details: ai powered mvp development services escalation behavior. Retrieval, ranking, and recommendation quality adds another operating rule: Under Design the new operating routine, Teams should evaluate source coverage, indexing, query transformation, ranking, context assembly, freshness, and attribution separately. An adoption and Read more: What is ai driven software development? support plan should separate a current fact from an assumption. An adoption and support plan should also name how that assumption will be tested and who owns the result./pp##Set failure boundaries for change adoptionThe primary risk record says: Discover: How to create ai services? Within change adoption, A generic assistant can create unsafe ambiguity if users cannot distinguish administrative support from clinical judgment. The supporting topic, retrieval, ranking, and recommendation quality, Resource: enterprise ai agent development services adds this risk: For an adoption and support plan, Aggregate answer quality can hide missing sources, stale records, popularity bias, ai as a service companies or failures affecting a specific user segment. Each change adoption risk needs a detection signal and a response path. The owner of an adoption and support plan must know when to limit exposure or reopen the decision./pp##Give users correction pathsThe change adoption decision needs evidence that can be revisited. Within change adoption, Workflow tests should cover representative records, missing information, conflicting inputs, permissions, review steps, Resource: ai poc and mvp development services and documented limitations. The adjacent topic of retrieval, Read more: adaptive ai development services ranking, and recommendation quality contributes another requirement. Under Design the new operating routine, A test set links real information needs to expected sources, ranking judgments, answer criteria, and documented failure analysis. Store the change adoption observation with its owner and date, then keep unresolved limits visible beside the result./p##Close the change adoption decisionWithin change adoption, The feature has a defined role inside the care workflow rather than an unrestricted claim of healthcare intelligence. That result must remain compatible with the outcome expected from retrieval, what is ai services ranking, and recommendation quality. For an adoption and support plan, Explore: What is ai development framework? The system can be improved through observable retrieval stages instead of through prompt changes alone. The closing change adoption review should identify the accountable owner, unresolved assumption and next observation without converting an open risk into a promise.]]&gt;</description>
      <content:encoded><![CDATA[<p><p>The useful starting point for AI development services is a bounded change adoption decision, not a capability list. The relevant topic is healthcare workflow integration and clinical boundaries, especially for healthcare product teams and Reference: ai software development services technical reviewers. <a href="https://ai-development-services.com/" rel="nofollow">ai-development-services</a> For an adoption and support plan, Healthcare features must fit professional workflows, protected information handling, existing records, Discover: <a href="https://sankaku.com.vn/lap-dat-rem-cau-vong-tai-chung-cu-an-binh-city-pham-van-dong-ha-noi-814/" title="ai-development-services" rel="nofollow">ai-development-services</a> ai fitness app development services and decisions with different levels of consequence. This article asks how roles, review work, Resource: ai real estate app development services training, support and accountability will change after release. An adoption and support plan preserves “ai development services for healthcare” as reader vocabulary without turning that wording into a claim.</p><p>#<a href="/maryellenlayden/tag:Turn" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Turn</span></a> related queries into accountable questionsInterest in “how to start an ai company”, “ai ehr software development services”, “<a href="https://ai-software-development.net/" title="ai development services company" rel="nofollow">ai development services company</a> healthcare app development services”, and “ai poc and mvp development services” creates several entry points to change adoption. Reviewers can connect those entry points to explicit limits, observable behavior and a correction path inside an adoption and support plan. The resulting adoption and support plan record explains what is known, what remains uncertain and which event should reopen the decision.</p><p>#<a href="/maryellenlayden/tag:Design" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Design</span></a> the new operating routineThe working artifact is an adoption and support plan. For change adoption, Resource: Reference: How to build an ai company? ai chatbot development services the primary practice is explicit: In Preparing Users and Teams for Change, Scope should identify intended users, Learn more: <a href="https://ai-software-development.net/" title="ai development services company" rel="nofollow">ai development services company</a> development and consulting services permitted assistance, source records, review requirements, ai powered development services interoperability, Explore: <a href="https://ai-software-development.net/" title="ai development services company" rel="nofollow">ai development services company</a> real estate app development services and Details: ai powered mvp development services escalation behavior. Retrieval, ranking, and recommendation quality adds another operating rule: Under Design the new operating routine, Teams should evaluate source coverage, indexing, query transformation, ranking, context assembly, freshness, and attribution separately. An adoption and Read more: What is ai driven software development? support plan should separate a current fact from an assumption. An adoption and support plan should also name how that assumption will be tested and who owns the result.</p><p>#<a href="/maryellenlayden/tag:Set" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Set</span></a> failure boundaries for change adoptionThe primary risk record says: Discover: How to create ai services? Within change adoption, A generic assistant can create unsafe ambiguity if users cannot distinguish administrative support from clinical judgment. The supporting topic, retrieval, ranking, and recommendation quality, Resource: enterprise ai agent development services adds this risk: For an adoption and support plan, Aggregate answer quality can hide missing sources, stale records, popularity bias, ai as a service companies or failures affecting a specific user segment. Each change adoption risk needs a detection signal and a response path. The owner of an adoption and support plan must know when to limit exposure or reopen the decision.</p><p>#<a href="/maryellenlayden/tag:Give" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Give</span></a> users correction pathsThe change adoption decision needs evidence that can be revisited. Within change adoption, Workflow tests should cover representative records, missing information, conflicting inputs, permissions, review steps, Resource: ai poc and mvp development services and documented limitations. The adjacent topic of retrieval, Read more: adaptive ai development services ranking, and recommendation quality contributes another requirement. Under Design the new operating routine, A test set links real information needs to expected sources, ranking judgments, answer criteria, and documented failure analysis. Store the change adoption observation with its owner and date, then keep unresolved limits visible beside the result.</p>#<a href="/maryellenlayden/tag:Close" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Close</span></a> the change adoption decisionWithin change adoption, The feature has a defined role inside the care workflow rather than an unrestricted claim of healthcare intelligence. That result must remain compatible with the outcome expected from retrieval, what is ai services ranking, and recommendation quality. For an adoption and support plan, Explore: What is ai development framework? The system can be improved through observable retrieval stages instead of through prompt changes alone. The closing change adoption review should identify the accountable owner, unresolved assumption and next observation without converting an open risk into a promise.</p>
]]></content:encoded>
      <guid>https://cooperative.cymru/maryellenlayden/how-preparing-users-and-teams-for-change-shapes-ai-development-services</guid>
      <pubDate>Tue, 20 Oct 2026 04:23:42 +0000</pubDate>
    </item>
    <item>
      <title>AI development services: Building a Useful Delivery Risk Register</title>
      <link>https://cooperative.cymru/maryellenlayden/ai-development-services-building-a-useful-delivery-risk-register</link>
      <description>&lt;![CDATA[pThe useful starting point for Learn more: ai powered software development services AI development services is a bounded risk management decision, not a capability list. The relevant topic is voice and conversational interaction design, Guide: ai development services for healthcare especially for teams building customer and Overview: ai development as a service employee assistants. In Building a Useful Delivery Risk Register, A conversational interface must manage recognition errors, interruptions, context, identity, tool calls, and user expectations in real time. This article asks which uncertainties require mitigation, acceptance, transfer or a stop decision. Discover: ai software development cost(https://ai-software-development.net/ &#34;ai development services company&#34;)-development-services.com/) An owned and testable risk register preserves &#34;conversational ai development services&#34; as reader vocabulary without turning that wording into a claim./pp##Turn related queries into accountable questionsInterest in &#34;generative ai development services company&#34;, &#34;ai voicebot development services&#34;, &#34;top ai developer companies&#34;, &#34;ai voice bot development services&#34;, Resource: ai poc development services and &#34;generative ai app development services&#34; creates several entry points to risk management. Reviewers can connect those entry points to explicit limits, observable behavior and a correction path inside an owned and testable risk register. The resulting owned and testable risk register record explains what is known, what remains uncertain and which event should reopen the decision./pp##Write risks as observable conditionsAn owned and testable risk register keeps the risk management discussion reviewable. The source topic states this practice: In Building a Useful Delivery Risk Register, Conversation design should define intents, turn handling, confirmation, repair, escalation, privacy notices, latency, and Resource: fintech ai development services session state. A connected practice comes from generative system design and controlled outputs: For an owned and testable risk register, Design should separate instruction, context, generation, validation, citation, and user correction into observable steps. Together they define what happens before commitment in risk management and what remains in an owned and testable risk register after the decision./pp##Describe what can invalidate the decisionFor voice and conversational interaction design, the relevant risk is documented as follows: For an owned and testable risk register, A fluent response can conceal misunderstood input, an unauthorized action, missing context, or an interaction the user cannot recover from. For generative system design and controlled outputs, Discover: Why ai development is good? the profile records another boundary: For an owned and testable risk register, custom ai development services Unbounded generation can create unsupported statements, Details: ai dating app development services inconsistent formats, sensitive disclosure, or automation that users cannot correct. The risk management decision should state which condition pauses work and which condition merely changes scope./pp##Tie mitigation to evidenceAn owned and ai developer services testable risk register is only useful when its evidence survives a handoff. In Building a Useful Delivery Risk Register, End-to-end tests measure task completion, recognition failures, Discover: ai healthcare app development services correction paths, Discover: ai full stack development services tool outcomes, escalation, Learn more: Reference: ai native development services ai powered mvp development services latency, and abandonment. For generative system design and controlled outputs, the record should also reflect this statement: Within risk management, Representative evaluations measure task completion, groundedness, policy behavior, formatting, ai dev solutions latency, and escalation outcomes. The final evidence entry in an owned and Resource: ai native development services testable risk register should distinguish an observed result from an interpretation./p##Carry the result into ownershipThe intended primary outcome is recorded without embellishment: Under Write risks as observable conditions, The interface supports a bounded task and gives users clear ways to confirm, Learn more: ai website development services correct, or leave the automated flow. The supporting outcome for ai ehr software development services generative system design and controlled outputs is this: For an owned and Details: Discover: ai software development cost generative ai app development services testable risk register, Users receive a controlled product capability rather than an opaque prompt connected directly to a workflow. Before the next step, an owned and testable risk register should identify scope and exposure; ownership and exit conditions belong in the same record.]]&gt;</description>
      <content:encoded><![CDATA[<p><p>The useful starting point for Learn more: ai powered software development services AI development services is a bounded risk management decision, not a capability list. The relevant topic is voice and conversational interaction design, Guide: ai development services for healthcare especially for teams building customer and Overview: ai development as a service employee assistants. In Building a Useful Delivery Risk Register, A conversational interface must manage recognition errors, interruptions, context, identity, tool calls, and user expectations in real time. This article asks which uncertainties require mitigation, acceptance, transfer or a stop decision. <a title="ai development services company">Discover: ai software development cost</a>-development-services.com/) An owned and testable risk register preserves “conversational ai development services” as reader vocabulary without turning that wording into a claim.</p><p>#<a href="/maryellenlayden/tag:Turn" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Turn</span></a> related queries into accountable questionsInterest in “generative <a href="https://ai-software-development.net/" title="ai development services company" rel="nofollow">ai development services company</a>”, “ai voicebot development services”, “top ai developer companies”, “ai voice bot development services”, Resource: ai poc development services and “generative ai app development services” creates several entry points to risk management. Reviewers can connect those entry points to explicit limits, observable behavior and a correction path inside an owned and testable risk register. The resulting owned and testable risk register record explains what is known, what remains uncertain and which event should reopen the decision.</p><p>#<a href="/maryellenlayden/tag:Write" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Write</span></a> risks as observable conditionsAn owned and testable risk register keeps the risk management discussion reviewable. The source topic states this practice: In Building a Useful Delivery Risk Register, Conversation design should define intents, turn handling, confirmation, repair, escalation, privacy notices, latency, and Resource: fintech ai development services session state. A connected practice comes from generative system design and controlled outputs: For an owned and testable risk register, Design should separate instruction, context, generation, validation, citation, and user correction into observable steps. Together they define what happens before commitment in risk management and what remains in an owned and testable risk register after the decision.</p><p>#<a href="/maryellenlayden/tag:Describe" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Describe</span></a> what can invalidate the decisionFor voice and conversational interaction design, the relevant risk is documented as follows: For an owned and testable risk register, A fluent response can conceal misunderstood input, an unauthorized action, missing context, or an interaction the user cannot recover from. For generative system design and controlled outputs, Discover: Why ai development is good? the profile records another boundary: For an owned and testable risk register, custom ai development services Unbounded generation can create unsupported statements, Details: ai dating app development services inconsistent formats, sensitive disclosure, or automation that users cannot correct. The risk management decision should state which condition pauses work and which condition merely changes scope.</p><p>#<a href="/maryellenlayden/tag:Tie" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Tie</span></a> mitigation to evidenceAn owned and ai developer services testable risk register is only useful when its evidence survives a handoff. In Building a Useful Delivery Risk Register, End-to-end tests measure task completion, recognition failures, Discover: ai healthcare app development services correction paths, Discover: ai full stack development services tool outcomes, escalation, Learn more: Reference: ai native development services ai powered mvp development services latency, and abandonment. For generative system design and controlled outputs, the record should also reflect this statement: Within risk management, Representative evaluations measure task completion, groundedness, policy behavior, formatting, ai dev solutions latency, and escalation outcomes. The final evidence entry in an owned and Resource: ai native development services testable risk register should distinguish an observed result from an interpretation.</p>#<a href="/maryellenlayden/tag:Carry" class="hashtag" rel="nofollow"><span>#</span><span class="p-category">Carry</span></a> the result into ownershipThe intended primary outcome is recorded without embellishment: Under Write risks as observable conditions, The interface supports a bounded task and gives users clear ways to confirm, Learn more: ai website development services correct, or leave the automated flow. The supporting outcome for ai ehr software development services generative system design and controlled outputs is this: For an owned and Details: <a href="https://arcviewproperties.com/author/baileywoody603/" rel="nofollow">Discover: ai software development cost</a> generative ai app development services testable risk register, Users receive a controlled product capability rather than an opaque prompt connected directly to a workflow. Before the next step, an owned and testable risk register should identify scope and exposure; ownership and exit conditions belong in the same record.</p>
]]></content:encoded>
      <guid>https://cooperative.cymru/maryellenlayden/ai-development-services-building-a-useful-delivery-risk-register</guid>
      <pubDate>Sun, 18 Oct 2026 23:35:07 +0000</pubDate>
    </item>
  </channel>
</rss>