| 12b838b8aa7d68b0… | The source document inventory defines contract templates as approximately 12 Drive files in .docx format that should be assigned to the CONTRACT_STANDARDS target set so that contractual standards are extracted from template documents. | active | contextual | yes | |
| cb65fc62363ff0c2… | The source document inventory defines platform documentation as approximately 15 key GitHub repository files in .md format that should be assigned to the PYRANA_PLATFORM target set so that platform knowledge is ingested from repository documentation. | active | contextual | yes | |
| dc5ac0da3130ae2e… | For the internal deployment, the extraction process must be configured with the specified extraction lenses so that the context engine applies the intended parallel analysis setup. | active | contextual | yes | |
| fe08d4f1f495392b… | During the chunking phase, the context engine runs multiple extraction lenses in parallel so that different knowledge perspectives can be applied simultaneously to the same source content. | active | contextual | yes | |
| 037820c943f47c90… | The source inventory maps financial documents in Drive to the FINANCIAL_OPS target set, with approximately eight files in XLSX and PDF formats. | active | contextual | yes | |
| 278f216b004a204c… | The source inventory maps ongoing meeting notes from Granola transcripts to the CLIENTS and PROJECTS target sets rather than static file collections. | active | contextual | yes | |
| 52a717f1b7991ea5… | The source inventory maps patent documents from the Shared Drive to the IP_PATENTS target set, but both file count and formats remain to be determined. | active | contextual | yes | |
| 5e7db4989d3a0eb5… | The source inventory maps marketing materials from the Shared Drive to the MARKETING_CONTENT target set, but both file count and formats remain to be determined. | active | contextual | yes | |
| 401dae9e9aa02e4d… | The source inventory maps sales materials in Drive to the SALES_POSITIONING target set, with approximately 15 files in PPTX, PDF, and DOCX formats. | active | contextual | yes | |
| 35357a58dcf1a5da… | The source inventory maps company policies stored in Drive to the COMPANY_POLICIES and SECURITY_COMPLIANCE target sets, with approximately six files in PDF and DOCX formats. | active | contextual | yes | |
| 630dccccf906dfa0… | The source inventory maps client folders in Drive to the CLIENTS and PROJECTS target sets, with more than 80 files across .docx, .pptx, .xlsx, and .pdf formats. | active | contextual | yes | |
| b700dcd67afe2c33… | The source inventory maps contract templates stored in Drive to the CONTRACT_STANDARDS target set, with approximately 12 files primarily in .docx format. | active | contextual | yes | |
| eafe789135f5395a… | The extraction pipeline’s source inventory maps platform documentation from GitHub repos to the PYRANA_PLATFORM target set, with approximately 15 key files primarily in Markdown format. | active | contextual | yes | |
| 46a14ffc05cac7f2… | The SALES_POSITIONING example defines PYRANA as an enterprise-grade agentic application platform that is configuration-driven, multi-tenant, and libs-first so that it can be presented as highly extensible. | active | contextual | yes | |
| 4067cce4d08e83c8… | The CLIENTS:PATRICK example asserts that Patrick Industries’ AI strategy engagement expanded from an initial financial-analysis point of view into a broader enterprise AI roadmap covering eCommerce, manufacturing, and board-level strategy. | active | contextual | yes | |
| d62a3d44cfe06ef7… | The CONTRACT_STANDARDS example states that standard Zeroth Agents MSA payment terms require payment Net 30 from the invoice date, with late payments accruing interest at 1.5% per month or the maximum lawful rate. | active | contextual | yes | |
| 0e7a5526abc53168… | The final step of the PyranaHarness orchestration procedure is to build and persist an AgentOutputEnvelope so that the agent’s completed output is formally finalized and stored. | active | contextual | yes | |
| b56cb2d4b5ff9b9c… | After the Turn 0 plan, the PyranaHarness procedure runs an iterative native tool-calling loop in which the LLM emits tool calls, tools are executed, observations are collected, and the cycle repeats until completion. | active | contextual | yes | |
| ea8de64b13883a1e… | The native tool-calling procedure for PyranaHarness begins by creating an initial Turn 0 plan through the LLM so that the agent has a starting plan before entering iterative execution. | active | contextual | yes | |
| 6cb499c3a891251f… | The PYRANA_PLATFORM example defines a platform specification in which PyranaHarness uses LiteLLM for native tool calling, starts with a Turn 0 plan, iterates through tool-calling loops, and ends by finalizing an AgentOutputEnvelope. | active | contextual | yes | |
| d316f54076fe1680… | Claims with confidence scores below 0.40 should be used only for speculative gap-filling so that draft ideas and unvalidated hypotheses do not get treated as reliable organizational knowledge. | active | contextual | yes | |
| 0ee0de112cd54b14… | Claims with confidence scores between 0.40 and 0.59 should be treated as low-confidence assumptions rather than validated facts so that uncertain market or planning estimates remain clearly marked during knowledge extraction. | active | contextual | yes | |
| 07bd1e4916adae4c… | The context engine supports multiple extraction lenses that run in parallel during the chunking phase so that different extraction perspectives can be applied simultaneously to the same source content. | active | contextual | yes | |
| 20ec135f831a23c1… | The extraction pipeline's source inventory includes financial documents from Drive consisting of about 8 XLSX and PDF files targeted to the FINANCIAL_OPS set so that operational financial knowledge is extracted from spreadsheet and document sources. | active | contextual | yes | |
| b32a7bcb77150a85… | The extraction pipeline's source inventory includes ongoing meeting notes from Granola in transcript format targeted to the CLIENTS and PROJECTS sets so that continuously generated conversational records feed client and project extraction. | active | contextual | yes | |
| 512029fff53cf4c9… | The extraction pipeline's source inventory includes patent documents from a Shared Drive with file count marked TBD and various formats targeted to the IP_PATENTS set so that intellectual property knowledge can be incorporated when available. | active | contextual | yes | |
| 61e21bce1b108505… | The extraction pipeline's source inventory includes marketing materials from a Shared Drive with file count marked TBD and various formats targeted to the MARKETING_CONTENT set so that future marketing knowledge sources remain planned but unspecified. | active | contextual | yes | |
| 5b13dcc9e26cf93e… | The extraction pipeline's source inventory includes sales materials from Drive consisting of about 15 PPTX, PDF, and DOCX files targeted to the SALES_POSITIONING set so that sales positioning knowledge is sourced from presentation and document assets. | active | contextual | yes | |
| e3bb77a717c158db… | The extraction pipeline's source inventory includes company policies from Drive consisting of about 6 PDF and DOCX files targeted to the COMPANY_POLICIES and SECURITY_COMPLIANCE sets so that policy and compliance knowledge can be captured. | active | contextual | yes | |
| ab09a876a3780bbc… | The extraction pipeline's source inventory includes client folders from Drive consisting of more than 80 files in DOCX, PPTX, XLSX, and PDF formats targeted to the CLIENTS and PROJECTS sets so that client and project knowledge can be extracted from mixed-format records. | active | contextual | yes | |
| 5303a3d423c4fa76… | The extraction pipeline's source inventory includes contract templates from Drive consisting of about 12 DOCX files targeted to the CONTRACT_STANDARDS set so that standard contractual knowledge can be extracted from template documents. | active | contextual | yes | |
| bf68a2defc21f2d3… | The extraction pipeline's source inventory includes platform documentation from GitHub repos consisting of about 15 key Markdown files targeted to the PYRANA_PLATFORM set so that platform knowledge is sourced from repository documentation. | active | contextual | yes | |
| b15b0282b51ab1d8… | PYRANA is defined in sales positioning as an enterprise-grade agentic application platform that is configuration-driven, multi-tenant, and based on a libs-first philosophy so that it is presented as maximally extensible. | active | contextual | yes | |
| ecc47c4b27bc5f4c… | Patrick Industries' AI strategy engagement evolved from a financial analysis point of view into a full enterprise AI roadmap spanning eCommerce, manufacturing, and board-level strategy so that the client relationship expanded in scope across business functions. | active | contextual | yes | |
| 74375100143099eb… | Standard Zeroth Agents MSA payment terms require payment Net 30 from the invoice date, with late payments accruing interest at 1.5% per month or the maximum rate permitted by law so that overdue balances are contractually governed. | active | contextual | yes | |
| a0a3e8f47bae70e5… | The PyranaHarness implements native LLM tool calling through LiteLLM by creating a Turn 0 plan, running iterative tool-calling loops, and finalizing an AgentOutputEnvelope so that agent orchestration proceeds from planning through persisted output. | active | contextual | yes | |
| f2555c8e4df7a4fa… | Confidence scores below 0.40 indicate speculative knowledge that should be used only for gap-filling so that draft ideas and unvalidated hypotheses are not treated as reliable facts. | active | contextual | yes | |
| 0f8d9166bfeef232… | Confidence scores between 0.40 and 0.59 indicate low-confidence knowledge that should be marked as an assumption when used so that uncertain market estimates or similar claims are explicitly qualified. | active | contextual | yes | |
| c30195b9ca129a01… | The context engine supports multiple extraction lenses that run in parallel during the chunking phase for internal deployment configuration. | active | contextual | yes | |
| faca871c5861c14b… | The source document inventory includes financial documents stored in Drive, with approximately 8 XLSX and PDF files targeted to the FINANCIAL_OPS set. | active | contextual | yes | |
| bf927e844ce85a0b… | The source document inventory includes ongoing meeting notes from Granola in transcript format, targeted to the CLIENTS and PROJECTS sets. | active | contextual | yes | |
| 3966c5cbf66a5328… | The source document inventory includes patent documents from a Shared Drive, with file counts still to be determined and various formats targeted to the IP_PATENTS set. | active | contextual | yes | |
| 23b6e5427b83ef6b… | The source document inventory includes marketing content from a Shared Drive, with file counts still to be determined and various formats targeted to the MARKETING_CONTENT set. | active | contextual | yes | |
| 4ec046b43ff79895… | The source document inventory includes sales materials stored in Drive, with approximately 15 PPTX, PDF, and DOCX files targeted to the SALES_POSITIONING set. | active | contextual | yes | |
| 8f1bba962531e981… | The source document inventory includes company policies stored in Drive, with approximately 6 PDF and DOCX files targeted to the COMPANY_POLICIES and SECURITY_COMPLIANCE sets. | active | contextual | yes | |
| d3392c360c6b7a0d… | The source document inventory includes client folders stored in Drive, with more than 80 files in DOCX, PPTX, XLSX, and PDF formats targeted to the CLIENTS and PROJECTS sets. | active | contextual | yes | |
| 268676b8ac9bfa5d… | The source document inventory includes contract templates stored in Drive, with approximately 12 DOCX files targeted to the CONTRACT_STANDARDS set. | active | contextual | yes | |
| 97b364628e5a9f6a… | The extraction pipeline's source document inventory includes platform documentation from GitHub repositories, with approximately 15 key Markdown files targeted to the PYRANA_PLATFORM set. | active | contextual | yes | |
| 55f2c87dcab48239… | PYRANA is positioned as an enterprise-grade agentic application platform that is configuration-driven, multi-tenant, and based on a libs-first philosophy for maximum extensibility. | active | contextual | yes | |
| e66557061e9e951c… | Patrick Industries' AI strategy engagement evolved from a financial analysis point of view into a full enterprise AI roadmap spanning eCommerce, manufacturing, and board-level strategy. | active | contextual | yes | |