[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"summary-d093a86475f74032-optimizing-ai-harnesses-to-slash-enterprise-token-summary":3,"summaries-facets-categories":92,"summary-related-d093a86475f74032-optimizing-ai-harnesses-to-slash-enterprise-token-summary":6460},{"id":4,"title":5,"ai":6,"body":13,"categories":46,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":51,"navigation":73,"path":74,"published_at":75,"question":48,"scraped_at":76,"seo":77,"sitemap":78,"source_id":79,"source_name":80,"source_type":81,"source_url":82,"stem":83,"tags":84,"thumbnail_url":48,"tldr":89,"tweet":48,"unknown_tags":90,"__hash__":91},"summaries\u002Fsummaries\u002Fd093a86475f74032-optimizing-ai-harnesses-to-slash-enterprise-token--summary.md","Optimizing AI Harnesses to Slash Enterprise Token Costs",{"provider":7,"model":8,"input_tokens":9,"output_tokens":10,"processing_time_ms":11,"cost_usd":12},"openrouter","google\u002Fgemini-3.1-flash-lite",5391,576,2755,0.00221175,{"type":14,"value":15,"toc":39},"minimark",[16,21,25,29,32,36],[17,18,20],"h2",{"id":19},"the-shift-from-model-benchmarks-to-infrastructure-efficiency","The Shift from Model Benchmarks to Infrastructure Efficiency",[22,23,24],"p",{},"Enterprise AI adoption is hitting a wall as organizations grow weary of chasing marginal gains in model benchmarks while facing unpredictable, ballooning token costs. Writer, an AI platform for marketers, argues that the industry's focus on model selection is often misplaced. Instead, the company suggests that the most reliable lever for cost reduction is the 'harness'—the infrastructure surrounding the model that manages prompts, multi-step task orchestration, and context handling.",[17,26,28],{"id":27},"harness-optimization-as-a-force-multiplier","Harness Optimization as a Force Multiplier",[22,30,31],{},"Writer’s research indicates that optimizing the harness is more effective at reducing costs than switching between different foundation models. By refining how agents execute multi-step tasks, the company achieved an average cost reduction of 40% across various models in their testing. This approach is model-agnostic, meaning the efficiency gains apply regardless of whether the client is using Writer’s proprietary models or external models via platforms like Azure or Amazon Bedrock.",[17,33,35],{"id":34},"launching-palmyra-x6","Launching Palmyra X6",[22,37,38],{},"To support this strategy, Writer introduced Palmyra X6, a flagship model built as a post-training variation of Z.ai’s GLM-5.2. When paired with their upgraded agentic harness, the company estimates a 50% reduction in costs for basic enterprise tasks. This move reflects a growing sentiment among CIOs who are increasingly skeptical of major AI labs, which they perceive as having a financial incentive to maximize token consumption rather than optimizing for enterprise utility.",{"title":40,"searchDepth":41,"depth":41,"links":42},"",2,[43,44,45],{"id":19,"depth":41,"text":20},{"id":27,"depth":41,"text":28},{"id":34,"depth":41,"text":35},[47],"AI & LLMs",null,"md",false,{"content_references":52,"triage":68},[53,59,64],{"type":54,"title":55,"author":56,"url":57,"context":58},"paper","A recent paper from Writer researchers","Writer Researchers","https:\u002F\u002Farxiv.org\u002Fpdf\u002F2607.06906","cited",{"type":60,"title":61,"author":62,"context":63},"tool","Palmyra X6","Writer","recommended",{"type":60,"title":65,"author":66,"context":67},"GLM-5.2","Z.ai","mentioned",{"relevance":69,"novelty":70,"quality":69,"actionability":70,"composite":71,"reasoning":72},4,3,3.6,"Category: AI & LLMs. The article discusses optimizing AI infrastructure to reduce token costs, which directly addresses a pain point for product builders concerned about cost efficiency in AI deployment. It presents a new model and approach but does not provide detailed actionable steps for implementation.",true,"\u002Fsummaries\u002Fd093a86475f74032-optimizing-ai-harnesses-to-slash-enterprise-token-summary","2026-08-13 21:13:24","2026-08-14 03:21:19",{"title":5,"description":40},{"loc":74},"d093a86475f74032","TechCrunch — AI","article","https:\u002F\u002Ftechcrunch.com\u002F2026\u002F08\u002F13\u002Fwriter-introduces-new-ai-model-and-upgraded-harness-to-contain-token-costs\u002F","summaries\u002Fd093a86475f74032-optimizing-ai-harnesses-to-slash-enterprise-token--summary",[85,86,87,88],"ai-tools","agents","llm","automation","Writer’s new Palmyra X6 model and upgraded agentic harness aim to reduce enterprise AI costs by up to 50% by focusing on infrastructure efficiency rather than just model 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The new model family—specifically the Luna and Terra variants—can match the performance of previous flagship models (like GPT-5.4 and 5.5) at a fraction of the cost. For instance, GPT-5.6 Luna achieved an 84.04% score on the BrowseComp benchmark for $1.33, compared to the $33.27 cost of GPT-5.5 for a similar result.",[22,6479,6480],{},"Builders should now prioritize:",[6482,6483,6484,6492],"ul",{},[6485,6486,6487,6491],"li",{},[6488,6489,6490],"strong",{},"Down-scaling:"," Use smaller models (Terra\u002FLuna) for high-volume, latency-sensitive, or repetitive tasks like data extraction.",[6485,6493,6494,6497],{},[6488,6495,6496],{},"Reasoning Tuning:"," Reduce \"reasoning effort\" settings. In production, GPT-5.6 at low effort often outperforms older models at high effort, compounding cost savings with improved latency.",[17,6499,6501],{"id":6500},"architectural-interventions-for-efficient-agents","Architectural Interventions for Efficient Agents",[22,6503,6504],{},"Beyond model selection, the Responses API now includes primitives that allow agents to operate with significantly fewer tokens while maintaining or increasing intelligence.",[6482,6506,6507,6513,6519],{},[6485,6508,6509,6512],{},[6488,6510,6511],{},"Programmatic Tool Calling:"," Instead of forcing the model to reason over large intermediate datasets, use programmatic tool calling to execute JavaScript. This allows the model to delegate data processing and filtering outside the context window, reserving its reasoning capacity for high-level judgment.",[6485,6514,6515,6518],{},[6488,6516,6517],{},"Multi-Agent Orchestration:"," Complex tasks should be decomposed. A primary agent can orchestrate subagents that work in parallel, passing results back for final synthesis. This approach is natively supported in the API and is highly steerable; developers can guide the model on when to spawn subagents to avoid unnecessary token expenditure.",[6485,6520,6521,6524],{},[6488,6522,6523],{},"Compaction and Retained Reasoning:"," These architectural interventions can dramatically improve performance on complex benchmarks. For example, using these features on ARC-AGI-3 resulted in a performance jump from 13.3% to 38.3% while simultaneously reducing output token usage by 6x.",[17,6526,6528],{"id":6527},"optimizing-context-and-caching","Optimizing Context and Caching",[22,6530,6531,6532,6536],{},"To further improve efficiency, the prompt cache TTL has been extended to 30 minutes, and developers can now set deterministic cache breakpoints. By using an appropriate ",[6533,6534,6535],"code",{},"prompt_cache_key",", developers can increase cache hit rates and ensure requests land on the same inference engine, which reduces latency and stabilizes performance across agentic workflows.",{"title":40,"searchDepth":41,"depth":41,"links":6538},[6539,6540,6541],{"id":6473,"depth":41,"text":6474},{"id":6500,"depth":41,"text":6501},{"id":6527,"depth":41,"text":6528},[47],{"content_references":6544,"triage":6549},[6545,6547],{"type":60,"title":6546,"context":67},"GPT-5.6",{"type":60,"title":6548,"context":67},"Responses API",{"relevance":6550,"novelty":69,"quality":69,"actionability":69,"composite":6551,"reasoning":6552},5,4.35,"Category: AI & LLMs. The article provides in-depth insights into optimizing workflows with the new GPT-5.6 model, addressing specific pain points such as cost efficiency and performance improvements for AI builders. It offers actionable strategies like down-scaling model usage and implementing multi-agent orchestration, which are directly applicable to developers looking to enhance their AI-powered products.","\u002Fsummaries\u002F6f8368ac763b7373-optimizing-agentic-workflows-with-gpt-5-6-summary","2026-08-14 03:21:18",{"title":6463,"description":40},{"loc":6553},"6f8368ac763b7373","OpenAI News","https:\u002F\u002Fopenai.com\u002Findex\u002Fbuilders-guide-to-gpt-5-6","summaries\u002F6f8368ac763b7373-optimizing-agentic-workflows-with-gpt-5-6-summary",[87,86,85,88],"GPT-5.6 shifts the economics of agentic AI by enabling high-performance results with smaller models, reduced reasoning effort, and new API primitives like programmatic tool calling and multi-agent orchestration.",[],"wq583R4_WNNYJ1HcsEegyccqLpgp21-dJPBO92zBCno",{"id":6566,"title":6567,"ai":6568,"body":6573,"categories":6628,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6629,"navigation":73,"path":6638,"published_at":6639,"question":48,"scraped_at":6640,"seo":6641,"sitemap":6642,"source_id":6643,"source_name":6644,"source_type":6645,"source_url":6646,"stem":6647,"tags":6648,"thumbnail_url":6649,"tldr":6650,"tweet":6651,"unknown_tags":6652,"__hash__":6653},"summaries\u002Fsummaries\u002F1084f7b717359337-optimizing-ai-agents-mcp-vs-skills-summary.md","Optimizing AI Agents: MCP vs. Skills",{"provider":7,"model":8,"input_tokens":6569,"output_tokens":6570,"processing_time_ms":6571,"cost_usd":6572},4994,625,3776,0.002186,{"type":14,"value":6574,"toc":6623},[6575,6579,6582,6586,6589,6592,6613,6616,6620],[17,6576,6578],{"id":6577},"the-context-bloat-problem-with-mcp","The Context Bloat Problem with MCP",[22,6580,6581],{},"Model Context Protocol (MCP) serves as a standardized bridge, allowing Large Language Models (LLMs) to interact with external APIs and file systems using natural language. While it effectively connects models to the \"outside world,\" it introduces a significant architectural trade-off: context bloat. Because MCP requires defining tools within the model's active definition, equipping an agent with numerous tools forces the model to process hundreds of lines of irrelevant instructions for every interaction. As the number of tools grows, the model's memory and performance suffer because it cannot selectively ignore the definitions of tools it isn't currently using.",[17,6583,6585],{"id":6584},"progressive-disclosure-via-skills","Progressive Disclosure via Skills",[22,6587,6588],{},"Skills act as a complementary layer to MCP, focusing on reusability and efficiency through a concept called \"progressive disclosure.\" A Skill is essentially a saved prompt—often a simple markdown or text file—that can also encapsulate scripts or command-line instructions.",[22,6590,6591],{},"Unlike MCP, which loads all tool definitions upfront, Skills utilize a three-part structure to optimize memory:",[6593,6594,6595,6601,6607],"ol",{},[6485,6596,6597,6600],{},[6488,6598,6599],{},"Frontmatter",": A summary of the skill and its purpose, which the agent loads into its internal registry upon startup.",[6485,6602,6603,6606],{},[6488,6604,6605],{},"Body",": Human-readable English instructions detailing how the model should execute the task.",[6485,6608,6609,6612],{},[6488,6610,6611],{},"Optional Linked File",": Deterministic scripts or external tools that are only invoked when the agent determines they are necessary.",[22,6614,6615],{},"By only loading the frontmatter initially, the agent maintains a lightweight registry of capabilities. It only pulls in the full instructions and scripts when it identifies a specific need, preventing the performance degradation seen in monolithic tool definitions.",[17,6617,6619],{"id":6618},"programming-in-english","Programming in English",[22,6621,6622],{},"Beyond technical efficiency, Skills democratize agent development. Because they are written in natural language, they allow non-developers to define, iterate, and share business logic across teams. This shift treats English as a programming language, enabling builders to capture complex workflows in reusable, shareable prompts. MCP and Skills are not mutually exclusive; in practice, a robust agent often uses Skills as the \"instructional layer\" to manage and orchestrate the external tools provided by MCP.",{"title":40,"searchDepth":41,"depth":41,"links":6624},[6625,6626,6627],{"id":6577,"depth":41,"text":6578},{"id":6584,"depth":41,"text":6585},{"id":6618,"depth":41,"text":6619},[47],{"content_references":6630,"triage":6636},[6631,6634],{"type":60,"title":6632,"context":6633},"Model Context Protocol (MCP)","reviewed",{"type":60,"title":6635,"context":67},"Gemini",{"relevance":6550,"novelty":69,"quality":69,"actionability":69,"composite":6551,"reasoning":6637},"Category: AI & LLMs. The article provides a deep dive into optimizing AI agents through the comparison of MCP and Skills, addressing a specific pain point regarding context bloat in LLMs. It offers actionable insights on how to implement Skills for more efficient agent development, making it highly relevant for product builders.","\u002Fsummaries\u002F1084f7b717359337-optimizing-ai-agents-mcp-vs-skills-summary","2026-07-30 16:00:48","2026-07-31 03:11:02",{"title":6567,"description":40},{"loc":6638},"1084f7b717359337","Google Cloud Tech","video","https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=T6PQIPMlj3E","summaries\u002F1084f7b717359337-optimizing-ai-agents-mcp-vs-skills-summary",[87,86,85,88],"https:\u002F\u002Fi.ytimg.com\u002Fvi\u002FT6PQIPMlj3E\u002Fhqdefault.jpg","While Model Context Protocol (MCP) standardizes how LLMs connect to external data, it suffers from context bloat. 'Skills' solve this by using progressive disclosure to load instructions only when needed, allowing for more efficient, modular agent development.","This is a high-level conceptual comparison between [Model Context Protocol (MCP)](https:\u002F\u002Fgoo.gle\u002F4fLO5lj) and \"Skills.\" The speakers explain how MCP standardizes API connections while Skills use progressive disclosure to manage prompt context, arguing that the two approaches are complementary rather than mutually exclusive.",[],"FmmsECQD5YwvFdF04lyg-y5WM1fWnsCPBjsvHqW9KWQ",{"id":6655,"title":6656,"ai":6657,"body":6662,"categories":6724,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6725,"navigation":73,"path":6736,"published_at":6737,"question":48,"scraped_at":6737,"seo":6738,"sitemap":6739,"source_id":6740,"source_name":6558,"source_type":81,"source_url":6741,"stem":6742,"tags":6743,"thumbnail_url":48,"tldr":6744,"tweet":48,"unknown_tags":6745,"__hash__":6746},"summaries\u002Fsummaries\u002F265c6a0134aba9b6-how-retained-reasoning-and-compaction-triple-agent-summary.md","How Retained Reasoning and Compaction Triple Agent Performance",{"provider":7,"model":8,"input_tokens":6658,"output_tokens":6659,"processing_time_ms":6660,"cost_usd":6661},8068,636,3209,0.002971,{"type":14,"value":6663,"toc":6719},[6664,6668,6671,6675,6678,6692,6696,6699],[17,6665,6667],{"id":6666},"the-hidden-impact-of-evaluation-harnesses","The Hidden Impact of Evaluation Harnesses",[22,6669,6670],{},"Benchmarks like ARC-AGI-3 are often treated as objective measures of model intelligence, but they are heavily influenced by the 'harness'—the code that manages the model's interaction with the task. OpenAI found that GPT-5.6 Sol's initial poor performance (7.8%) on ARC-AGI-3 was not due to a lack of reasoning capability, but rather a result of a generic, suboptimal harness that discarded critical context.",[17,6672,6674],{"id":6673},"the-two-settings-that-triple-performance","The Two Settings That Triple Performance",[22,6676,6677],{},"To improve performance, OpenAI shifted from a legacy, stateless approach to their production-grade Responses API, enabling two specific settings:",[6482,6679,6680,6686],{},[6485,6681,6682,6685],{},[6488,6683,6684],{},"Retained Reasoning:"," By default, many harnesses discard the model's 'private reasoning' messages after each action. This forces the model to re-interpret the game state from scratch every turn. Retaining these reasoning messages allows the model to maintain a continuous thread of logic, strategy, and insight, which significantly improves its ability to learn over time.",[6485,6687,6688,6691],{},[6488,6689,6690],{},"Compaction:"," Many benchmarks use 'rolling truncation,' which simply deletes the oldest messages when the context window is full. This causes the model to lose historical observations and actions. Compaction provides a more intelligent way to manage context, allowing the model to preserve essential information about the game across longer runs while using fewer output tokens.",[17,6693,6695],{"id":6694},"practical-recommendations-for-developers","Practical Recommendations for Developers",[22,6697,6698],{},"When building agentic systems, developers should avoid generic harnesses that treat each turn as a blank slate. To maximize performance and efficiency, the following stack is recommended:",[6593,6700,6701,6707,6713],{},[6485,6702,6703,6706],{},[6488,6704,6705],{},"Use the Responses API:"," Move away from legacy Chat Completions APIs to gain better control over context management.",[6485,6708,6709,6712],{},[6488,6710,6711],{},"Retain Reasoning:"," Ensure that the model's internal chain-of-thought is passed forward in the conversation history.",[6485,6714,6715,6718],{},[6488,6716,6717],{},"Implement Compaction:"," Use native compaction features to manage long-running tasks efficiently, ensuring the model retains the most relevant information without hitting context limits or wasting tokens.",{"title":40,"searchDepth":41,"depth":41,"links":6720},[6721,6722,6723],{"id":6666,"depth":41,"text":6667},{"id":6673,"depth":41,"text":6674},{"id":6694,"depth":41,"text":6695},[47],{"content_references":6726,"triage":6733},[6727,6729],{"type":60,"title":6548,"url":6728,"context":63},"https:\u002F\u002Fdevelopers.openai.com\u002Fapi\u002Fdocs\u002Fguides\u002Fcompaction",{"type":6730,"title":6731,"url":6732,"context":6633},"other","ARC-AGI-3","https:\u002F\u002Farcprize.org\u002Farc-agi\u002F3",{"relevance":6550,"novelty":69,"quality":69,"actionability":6550,"composite":6734,"reasoning":6735},4.55,"Category: AI & LLMs. The article provides in-depth insights into improving AI agent performance through specific settings in the Responses API, addressing a core pain point for developers looking to enhance AI capabilities. It offers practical recommendations that can be directly applied to build more effective AI systems.","\u002Fsummaries\u002F265c6a0134aba9b6-how-retained-reasoning-and-compaction-triple-agent-summary","2026-07-30 03:13:56",{"title":6656,"description":40},{"loc":6736},"265c6a0134aba9b6","https:\u002F\u002Fopenai.com\u002Findex\u002Fhow-two-settings-tripled-our-arc-agi-3-scores","summaries\u002F265c6a0134aba9b6-how-retained-reasoning-and-compaction-triple-agent-summary",[87,86,85,88],"AI benchmark scores are often artificially low due to poor harness design. By enabling 'retained reasoning' and 'compaction' in the Responses API, OpenAI tripled GPT-5.6 Sol's performance on the ARC-AGI-3 benchmark while reducing output tokens by 6x.",[],"kszDaMf2o_zQ8JPha9f3oy6Y22dbqEmlpJapS4v2bY4",{"id":6748,"title":6749,"ai":6750,"body":6755,"categories":6797,"created_at":48,"date_modified":48,"description":40,"extension":49,"faq":48,"featured":50,"kicker_label":48,"meta":6798,"navigation":73,"path":6812,"published_at":6737,"question":48,"scraped_at":6737,"seo":6813,"sitemap":6814,"source_id":6815,"source_name":6558,"source_type":81,"source_url":6816,"stem":6817,"tags":6818,"thumbnail_url":48,"tldr":6819,"tweet":48,"unknown_tags":6820,"__hash__":6821},"summaries\u002Fsummaries\u002Feb71f165025c2507-optimizing-ai-inference-and-agentic-workflows-with-summary.md","Optimizing AI Inference and Agentic Workflows with GPT-5.6",{"provider":7,"model":8,"input_tokens":6751,"output_tokens":6752,"processing_time_ms":6753,"cost_usd":6754},6311,701,3857,0.00262925,{"type":14,"value":6756,"toc":6792},[6757,6761,6764,6768,6771,6785,6789],[17,6758,6760],{"id":6759},"autonomous-system-optimization","Autonomous System Optimization",[22,6762,6763],{},"OpenAI has shifted from manual heuristic tuning to using its flagship model, GPT-5.6 Sol, to optimize its own infrastructure. By training the model to write and refine GPU kernels in languages like Triton and Gluon, the team achieved a 20% reduction in end-to-end serving costs. The model also autonomously manages the training and architecture of smaller 'speculator' models used in speculative decoding, which improved token-generation efficiency by over 15%. This creates a continuous feedback loop where the model analyzes production traffic to identify bottlenecks in routing, scheduling, and configuration, allowing for workload-specific optimizations that were previously too complex to manage manually.",[17,6765,6767],{"id":6766},"streamlining-the-agentic-harness","Streamlining the Agentic Harness",[22,6769,6770],{},"Because agentic tasks—such as those performed by Codex or ChatGPT Work—often require dozens of sequential model requests, efficiency gains must occur at the orchestration layer to prevent compounding latency and costs. OpenAI’s Rust-based agentic harness addresses this through two primary strategies:",[6482,6772,6773,6779],{},[6485,6774,6775,6778],{},[6488,6776,6777],{},"Context Management:"," To prevent 'context bloat,' the harness uses deferred discovery, surfacing tools and integrations only when necessary. It also enforces strict token caps on tool outputs to ensure the model remains focused.",[6485,6780,6781,6784],{},[6488,6782,6783],{},"Prompt Caching:"," To maximize cache hit rates, the harness treats conversation history as an append-only structure. By keeping instructions and tool definitions in a deterministic order and applying runtime policies during execution rather than embedding them in the prompt, the system avoids recomputing expensive prefixes across repeated model turns.",[17,6786,6788],{"id":6787},"the-intelligence-efficiency-curve","The Intelligence-Efficiency Curve",[22,6790,6791],{},"The GPT-5.6 family (Sol, Terra, and Luna) is designed to serve different segments of the cost-intelligence curve. By optimizing the model to take more direct paths through tasks during training, OpenAI aims to increase the amount of work performed per token. These improvements are not isolated; they compound across the stack, allowing the company to maintain high performance while significantly reducing the hardware requirements for serving millions of users.",{"title":40,"searchDepth":41,"depth":41,"links":6793},[6794,6795,6796],{"id":6759,"depth":41,"text":6760},{"id":6766,"depth":41,"text":6767},{"id":6787,"depth":41,"text":6788},[47],{"content_references":6799,"triage":6809},[6800,6803,6806],{"type":60,"title":6801,"url":6802,"context":67},"Triton","https:\u002F\u002Ftriton-lang.org\u002Fmain\u002Findex.html",{"type":60,"title":6804,"url":6805,"context":67},"Gluon","https:\u002F\u002Ftriton-lang.org\u002Fmain\u002Fgluon\u002Findex.html",{"type":60,"title":6807,"url":6808,"context":67},"FpSan","https:\u002F\u002Ftriton-lang.org\u002Fmain\u002Fprogramming-guide\u002Fchapter-3\u002Ffpsan.html",{"relevance":6550,"novelty":69,"quality":69,"actionability":70,"composite":6810,"reasoning":6811},4.15,"Category: AI & LLMs. The article provides in-depth insights into optimizing AI inference and agentic workflows, addressing specific pain points related to efficiency and cost reduction in AI systems. It discusses practical strategies like context management and prompt caching, which can be actionable for developers looking to implement similar optimizations.","\u002Fsummaries\u002Feb71f165025c2507-optimizing-ai-inference-and-agentic-workflows-with-summary",{"title":6749,"description":40},{"loc":6812},"eb71f165025c2507","https:\u002F\u002Fopenai.com\u002Findex\u002Fgpt-5-6-frontier-intelligence-efficiency","summaries\u002Feb71f165025c2507-optimizing-ai-inference-and-agentic-workflows-with-summary",[87,86,85,88],"OpenAI's GPT-5.6 model family achieves significant cost and performance gains by using the flagship 'Sol' model to autonomously optimize its own inference kernels, load balancing, and agentic orchestration layers.",[],"K1GxvGwj5Z7QtYv0HVqQL_s0kbW875b-DQGvViKVQIs"]