I-AI ikhiqiza ikhowudi ngokukhawuleza. Kodwa apha yintoni iingxaki: ukufumana inkalo yokukhiqiza. Ukukhiqiza kunezinto. I-Code ibonisa into efunekayo; Izixhobo ze-observability zibonise iingcebiso; Iinkqubo ze-ticketing zibonise iinkcebiso; I-CI / i-CD zibonisa iinkcukacha. Yonke iphepha yaziwa i-sheet yokukhiqiza. Akukho akuyona iimodeli efanelekileyo yokusebenza kwinkqubo ngokwenene. I-SRE, i-Support, i-QA, i-dev, i-PM. Akukho inkcazelo lwekhompyutha lwekhompyutha yokukhiqiza. Kwakhona kwi-team, i-silos yeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha. Ukubuyekezwa kwimveliso i-impulsive kunye ne-fragmented - i-code, i-dashboards, i-tickets, iinkonzo ze-tribal, kunye neengcali ezininzi zeengcali. Ngoko ke, xa ixesha lokuphendula ingxaki yeengcali kwimveliso, impendulo ibonelela kwimveliso: i-disjoined, i-slow, kunye ne-siloed. Ukuze i-AI kubonelela ngokwenene, kufuneka ukufumana i-"why", i-background yeengxaki ezininzi. Akukho kuphela apho thina namhlanje, kodwa indlela yokufika apha. Iingxaki ezimbini zeengxaki Ukugqiba phakathi kwimeko yamanje kunye neemeko yeholide ibizwa ngokuba yi- "i-two clock problem". Nazi i-analogia eliza kunceda ukwandisa umzimba wakho: I-CRM yakho ibhekwa ixabiso lokugqiba lokugqiba, ayikho kwimeko. I-ticket system yakho ibhekwa i-"resolved", ayikho kwimeko. I-codebase yakho ibhekwa kwimeko yeholide, ayikho kwiiyure ezimbini ze-architectural ebonakalayo. Zifumaneka i-trillion-dollar infrastructure yayo yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni yintoni. Yinto yenzelwe ngexabiso xa abantu zilungiselela. I-brain yobungcali yabasetyenziswa kwiintloko ze-human, i-reconstructed kwi-demand nge-conversation. Ngoku ufuna i-AI systems ukuba bafikele, kwaye sinikezela akukho nto ukuba bafikelele. Sinikezela iimodeli ukuba usebenzise imibuzo ngaphandle kokufumana i-precedent. Yinto efana nokufunda i-advocate kwiimeko ngaphandle kwe-case law. Iifayile ye-config ithetha timeout = 30s. I-timeout = 5s. Umntu waya. Yintoni? I-git blame ibonisa ngubani. I-reasoning waya. I-CRM inikezela "ngokugqitywa ngexesha." I-software ye-Enterprise ibonelela kakhulu kwi-storage state, kodwa i-deal ye-deal ye-deal ye-deal. Izixhobo ezininzi zinokufundisa ukuba yintoni lokwenene ngoku kwaye yintoni kwangaphambili, kodwa ayifuni ukuba yintoni iingcebiso yenzelwe ngexesha elandelayo – iingcebiso ezifakwe, iingcebiso ezifakwe, kwaye iingcebiso ezifakwe ngokwenene kwimiphumo. Yoko ke, "ukudibanisa i-LLM kwi-systems yakho" ibonelela ngokufanelekileyo: iimodeli inokufunda idatha, kodwa ayifumaneka i-decision logic ye-organization. Ukuba ufuna i-AI ukuba isebenza ngokufanelekileyo, kufuneka indlela yok Umgca we-value ayikho iingcebiso; iingcebiso ezaziwayo kunye neengcebiso ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe Ukucaciswa kwama-decision iindawo apho intelligence ye-institutional ngokufanelekileyo. Kodwa i-decision traces ziquka ngakumbi ukucaciswa kunokuba i-documents. Uyakwazi ukucaciswa kwama-entity. Uyakwazi ukucacisa ngokufanelekileyo i-patterns ye-judgment. "Ndiya kuthatha umgca obunzima xa umlawuli we-counterparty uye kwi-X-firm" ibonise into ngaphandle kwe-X-masked. Yintoni i-Context Graphs Enye Kwakhona Iifayile ezilandelayo ze-trillion-dollar ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe zibe z Xa i-context graphs ibonise isakhiwo efanelekileyo, kunokufumaneka kwimodeli yehlabathi. Zihlanganisa i-physics ye-organization - ukutshintshwa kwimeko, ukunyuka kwimeko, ukuxhaswa kwe-entity. Uyakwazi ukuqhuba i-simulations okanye iimvavanyo kwiimodeli ezininzi. Uyakwazi ukufumana imibuzo efanelekileyo, ngaphandle kwe-hallucinations ezimbini, ngenxa yokuba uyenza into efanelekileyo. I-context graph is a graph of nouns; it is a graph of decisions with evidence, constraints, and outcomes. "I-Context Graph" ikhona yinto efanelekileyo xa unako ukuguqula iinkqubo ezininzi ezininzi: akuyona kuphela iziganeko, kodwa izixazululo kunye neengxaki ezininzi ezinikezwayo, i-compromise elidlulileyo, kunye neengxaki ezilandelayo. Ngaphandle kokuba, unokufumana iimodeli emangalisayo engaphakathi nemisebenzi, okanye i-firehose ye-activity eyenza. Yintoni oku kubonakala kwimeko? I-agent ye-renewal ibonelela i-20% i-raise. I-caps ye-policy ibonelela kwi-10% ngaphandle kokuba i-exception ye-impact ye-service iboniswe. I-agent ibonelela iindidi ezintathu ze-SEV-1 evela kwi-PagerDuty, i-open "cancel unless fixed" escalation kwi-Zendesk, kunye ne-pre-renewal thread apho i-VP ibonelela i-exception efanayo kwizinyanga ezidlulileyo. I-agent ibonelela i-exception kwi-Finance. I-Finance ibonelela. I-CRM ibonelela kunye ne- fact: "i-20% discount." Xa ufumane iingcebiso zomthetho, i-"why" yenza iinkcukacha ze-first-class. Ngaphandle kwexesha, iingcebiso zihlanganisa ngokwemvelo i-context chart: iingcebiso ezivela kwi-business (i-accounts, i-renewals, i-tickets, iingcebiso, iingcebiso, i-policy, i-approveers, i-agent runs) zihlanganiswa kwiingcebiso zomthetho (iingcebiso ezininzi) kunye neengcebiso ze-"why". Iingcebiso ziya kufumana i-audit kunye ne-debug i-autonomy kwaye zibonise iingcebiso kwi-precedence ngaphandle kokufunda i-edge case I-feedback loop yenza le mveliso. Iingxaki zeengxaki ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Yonke oku kufuneka ukunyaniseka ngokupheleleyo ngosuku lokuqala. Kuqala nge-human-in-the-loop: i-agent ibonise, ibonise i-context, i-routes i-approvals, kunye nokufaka i-track. Ngokuxa, njengoko iimeko ezifanayo ziquka, ngaphezulu kwe-path kungenziwa i-automated ngenxa yokuba i-system ine-library eyakhelweyo yeempumelelo ezidlulileyo kunye neengxaki. Nangona umntu akufumana i-call, i-diagram ibandakanya, ngenxa yokuba i-workflow layer ibandakanya i-inputs, i-approval, kunye ne-rationalise njenge-precedence elide kunokufumaneka kwi-Slack. Ukuba i-context charts ziquka kakhulu, ngoko ke asikwazi ukufumana ezininzi? Yintoni i-Context Graphs i-Rare: I-Five Coordinate System Problem I-context graphs ayikho ngokwenene kwelanga namhlanje ngenxa yokufuna iingxaki kwiinkqubo ze-coordinate ezininzi ezinxulumene iingxaki. Iingxaki ze-databases ezijoliswe ziye zihlanganisa izixeko ezidlulileyo. Unayo i-customer_id, i-order_id, iingxaki ye-foreign. Iingxaki zihlanganisa zihlanganisa; iingxaki zihlanganisa; isebenze ngokubanzi. Iingxaki ze-organization zihlanganisa iintlobo ezahlukeneyo ze-join. Unokufuna ukuxhumanisa: into efanayo (iingxaki) kwiinkonzo (timeline) kwi-contract, "@JayaGupta" kwi-data, "@JayaGup10" Iinkqubo ze-5 ze-coordinate, i-5 iintlobo ze-joins: I-Timeline ifumaneka: Ukuxhaswa kwimeko kwixesha elide. I-config i-30s ngoku. I-5s ngoLwesihlanu. Ukuxhaswa kwimeko ezininzi kufuneka i-indexing yexesha elide apho i-"ngaphandle" kunye ne-"ngaphambili" zihlanganisa iinkqubo ze-first-class, ngaphandle kwe-filters. Iingxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki. I-Semantic Joins: Ukuxhaswa kwe-significance kwi-representations. I-"Churn risk" kwi-support ticket ibhaliswe ne-"retension concern" kwi-sales note. I-join yi-vector similarity, ayikho i-string matching. I-fuzzy ngokwemvelo. I-Attribution Joins: Ukuxhumanisa iingxaki ze-actors kwi-ownership. Yintoni wabelane oku? Yintoni wabelane le nqakraza? I-Attribution uqhagamshelane ne-org structure, i-permission hierarchies, i-approval chains. I-topology yenye i-join condition. Iziphumo zihlanganisa: Ukuxhumanisa izixazululo kwiimiphumo. Le ukuguqulwa kwexabiso lithumela ukuba imiphumo yentengiso. I-joining yi-causal, ayikho-correlational. Kufuneka ukuchithwa kwe-contra-factual: into efanayo? Yonke uhlobo le-joining ine-geometry eyahlukileyo. I-timeline yi-linear. Iingxaki zihlanganisa. I-semantics ifumaneka kwi-vector space. I-attribution yi-graph-structured. I-results yi-causal DAGs. Ingxaki ye-context graph inokufumaneka xa ufumane ukuba awukwazi ukuvelisa kwabo ngempumelelo; ziyi-sub-product yeendlela abathengi kunye nabantu ukuxhaswa. Indlela I-Context Graphs Yenza I-Tractable: I-Agent Trajectories njengezinto ze-Training Umzekelo we-context charts iyatholakala ngoku ukuba sinokufuneka inkqubo ye-coordinate eyenziwe apho izixhobo ziye ziye ziye zibonakalayo. I-Trajectories ye-Agent (ngokuqhelekanga ukufumana umsebenzi olufanelekileyo) yinkonzo yokufunda. Xa i-Agent isixazululo inkinga, i-Agent isebenza zonke iintlobo ze-join ngokucacileyo. I-Agent isixazululo i-entity kwi-representations. I-Sequence events. I-Connects meaning. I-Property crosses. I-Track results. I-Trajectories yi-sample ye-joins eyenziwe kwi-multi-coordinate. Ukulungiselela iintlobo ezininzi kunye nexesha, kwaye ufunde iingxaki ezijoliswe ukuxhaswa kwe-join-compatibility kwiinkqubo ze-coordinate. Iingxaki ezijoliswe kunye ne-trajectories ziquka iingxaki ezifanelekileyo kwimeko. Iingxaki zengxaki iye yobugcisa yi-index ye-join. Iingxaki ze-structural kufuneka zihlanganisa kunye neengxaki ze-semantic. Iingxaki ze-semantic zihlanganisa i-significant-similarity. Iingxaki ze-structural, ezijoliswe kwiingxaki, zihlanganisa iingxaki ze-operational-coupling. Kwixolo zibonakalisa indawo apho "uk Yonke ingxubevange olungagqibekanga kunye neengxubevange olungagqibekanga zihlanganisa kwiinkqubo ze-coordinate. Iigrafu ze-context ayiyi ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Ukuhamba komhlaba (ukukhuthaza ngaphandle) ukufundisa i-equivalence ye-structural - ama-nodes ziyafumaneka ngenxa yokufanisa i-analogue roles, nangona awukwazi ukuqhagamshelane ngqo. Qinisekisa iingcali ezimbini eziphambili kwikhompyutha. Enye isebenza kwiimali, enye kwiingcebiso. Akukho iingcebiso ezahlukahlukeneyo, akukho ikhowudi yokubala, akukho iinkqubo ezahlukahlukeneyo zeSlack. I-Homophily akukwazi ukufumana kubo njengoko efanayo. Kodwa kwisakhiwo ziyi-equivalent-equivalent-equivalent-equivalent-equivalent-equivalent-equivalent-equivalent-equivalent-equivalent. Iingcali ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Nangona i-agent idibazisa ingxaki okanye ivule umsebenzi, ivela kwi-organizational state space. I-agent i-system, i-data, i-API. I-trajectory yi-walk-through ye-graph of organizational entities. Ngokungafani neengxaki ezincinane, iingxaki zeengxaki zihlanganisa iingxaki. Iingxaki zihlanganisa ngokufanelekileyo. Ukuhlola iingxaki zokuvelisa, kunokufumaneka ngokubanzi - yintoni ezivela ngexesha elidlulileyo kuzo zonke iinkqubo? Yintoni iingxaki zehlabathi, iingxaki zeengxaki zeengxaki. Xa iingxaki zihlanganisa, iingxaki zihlanganisa iinkonzo ezithile, iingxaki zeengxaki zeengxaki zeengxaki zeengxaki. Yintoni iingxaki zeengxaki zeengxaki zeengxaki zeengxaki zeengxaki. Ukusuka okuhlobisa isakhiwo nge-bruto-force coverage. Ukusuka okuhlobisa isakhiwo nge-problem-directed coverage. Umthengisi uye apho ingxaki ithatha, kwaye iingxaki zibonise into efanelekileyo. I-Engineered ngokufanelekileyo, i-agent trajectories iya kuba i-event clock. Yonke trajectory isampula isakhiwo yabasetyhini, ekugqibeleni kwiindawo ezininzi ezininzi ezininzi. Ukuphucula ezininzi kwaye ufumana umzekelo olufunyenweyo indlela yokusebenza yabasetyhini, etholakalayo ngokusebenzisa. I-ontology ifumaneka kwi-walks. I-entities ezibonakalayo ziquka kwi-entities ezininzi. I-relationships ezivela ziquka kwi-relationships ezininzi ezininzi. I-equivalences ye-structural zibonakalisa xa i-agents ezahlukileyo ezahlukileyo ze-problems ezahlukileyo zihlala iindlela ezininzi. I-Elegance ye-economic yinto. I-agents ayifunda i-context chart – zibonisa iingxaki ezifanelekileyo. I-context chart yi-exhaust. I-context engcono ivumela i-agents ezininzi; i-agents ezifanelekileyo ziyafumaneka ngaphezulu; i-deployment ikhiqiza i-trajectories; i-trajectories zibonisa i-context. Kodwa iyasebenza kuphela ukuba i-agents zenza umsebenzi ebonakalayo. Ngexesha elide, njengoko i-context charts ibonise ulwazi olufanelekileyo, kunokufumaneka into engaphezulu: umzobo wokuvelisa ngokupheleleyo yokukhiqiza. I-Context Graphs Inokukwazi Ukwenza I-Model ye-Production World Iimodeli yehlabathi yeemveliso ibonisa indlela yokusebenza kweemvelo. Izixhobo i-dynamics, i.e. yintoni okufanayo xa uthathe iimveliso ezihlangene kwimeko esifunyenweyo. Izixhobo zihlanganisa izakhiwo: izakhiwo ezikhoyo kunye neendlela ezihlangeneyo. Kwaye ivumela ukuhlaziywa: phantsi kweemeko ezininzi, kunye nemisebenzi ebonakalayo, into elandelayo? Iimodeli zehlabathi zibonisa into ebalulekileyo: i-agents inokufunda iingcebiso ze-environment kunye nokufunda ngokupheleleyo kwi-"dreams" - iintlobo ze-simulated kwi-space ye-latent. Iimodeli zehlabathi ibonelela kwi-simulator. Uyakwazi ukuqhuba i-hypotheticals kunye nokufumana iimpazamo ezifanelekileyo ngaphandle kokusebenza kwi-environment real. Yinto unayo i-analogia emangalisayo kwi-robotics. I-world model yokufumana i-physics (how objects fall, how forces propagate) ivumela ukuba uthathe iimpendulo ze-robot ngaphambi kokuphendula, utshintshe iinkqubo kwi-imagination, utshintshe iiscenari ezinzima ngokhuseleko, kwaye utshintshe kwi-hardware ye-physics. I-model yakho ye-physics, i-simulations yakho iyafumaneka kakhulu. I-logic efanayo isebenza kwiinkalo, kodwa i-physics iyahlukileyo. I-physics ye-Organization ayikho i-mass and momentum. I-dynamics ye-decision. Yintoni i-exceptions ifumaneka? Yintoni i-escalations ifumaneka? Yintoni ibonakala xa ukuguqulwa le-configuration xa i-feature flag ifumaneka? Yintoni i-blast radius ye-deploying ku-this service ngokutsho kwimeko ye-dependence yamanje? I-Event Clock ibonisa indlela yokusebenza kwinkqubo - kunye ne-comportment yintoni oko kufuneka uqhagamshelane. I-context graph kunye ne-structures ezininzi zihlanganisa kubonakala kwimodeli yehlabathi ye-organisational physics. I-coded iindlela zokuphendula iingxaki, indlela yokuguqulwa kwimeko, indlela izakhiwo zihlanganisa. Xa ufumane oku, unako ukuhanjiswa. Kwi-PlayerZero, sinikezela i-simulations ye-code—ukukhanyisa iimodeli zethu ze-production systems kunye nokukhanyisa imiphumo. Ngokusho kwimodeli efunyenweyo, i-configurations ezidlulileyo kunye neefayile ze-function flags, iimodeli yokusebenza kwe-users kwi-system: kuya kuthatha into? Yintoni i-fault mode? Yintoni iinkonzo ezidlulileyo? Zifumaneka i-simulations. Zifumaneka kwizakhiwo ezihlangeneyo. Sithanda iindlela ezininzi ngokusebenzisa iingxaki zokuvelisa ukufundisa iimodeli - iindlela ze-coding ziyafumaneka, iindlela ze-configurations zihlanganisa ngokufanelekileyo, iinkqubo ze-deployment zibonisa iingxaki. I-world model ikhowudi oku. I-simulation ibonisa iimodeli kunye ne-hypotheticals. I-Simulation yi-test ye-comprehension. Ukuba i-context chart yakho ayikwazi ukufumana i-"what if," ke kuphela i-index yokufunda. Implications for the Continual Learning Debate Imiphumela kwi-Continuous Learning Debate Inani abaninzi zibophelela ukuba i-AI ayibonisa imveliso ngenxa yokuba iimodeli akakwazi ukufundisa kwindawo yokusebenza - siphila ukwakhiwa kwiziko zokusebenza ze-custom training for every capability, leyo ayidlulanga kwi-long tail of organizational knowledge. Kodwa ukuba i-framing ye-standard yintliziyo? Ukufundwa okuqhubekayo ibonisa: njani ukutshintsha iingxaki evela kwi-experience elandelayo? Yinto enzima-ukugqitywa kwe-catastrophic, i-shift ye-distribution, i-re-training ezininzi. Iimodeli zehlabathi zibonisa i-alternative: ukugcina iimodeli, ukuphucula iimodeli zehlabathi. Iimodeli akufuneka ukufundisa ukuba iimodeli zehlabathi ibandakanya. Yintoni iingcebiso anokufumana ngeengcebiso zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha zeenkcukacha. Iintlobo ezininzi, ukuhlaziywa okungcono. Akukho ngenxa yobugcisa kwimodeli, kodwa ngenxa yobugcisa kwimodeli yamazwe. Kwaye ngenxa yobugcisa yobugcisa, ufumane into enamandla kakhulu: ukuchithwa kwe-contra-factual. Akukho kuphela "ngaba kuba kwimeko efanayo?" kodwa "ngaba uya kuba ndiza ukuba ndiza?" I-agent ibonisa iimviwo, i-evaluates, i-choices ngokufanayo. Oku yintoni abasebenzi abavela ukuba abalandeli abatsha akayi. Akukho isakhiwo esahlukileyo, isakhiwo sehlukileyo. Baya babona iimeko ezininzi ukuguquka imiphumo. "Ukuba sikhuthaza loLwesihlanu, kwi-on-call iya kuba ngexesha elide." Yinto ayikho ukufumana. Yintoni iingxaki kwiimodeli yendawo yentliziyo. Umzila wokugqibela kwe-AI yokuguqula ngempumelelo ukutshintsha ukufundisa ukufundisa. Oku kunokuba kufuneka ukwakha iimodeli zehlabathi ezikhuthaze iimodeli ze-static zihlala njengokufunda, nge-expanding evidence bases kunye ne- inference-time computing ukufundisa kunye nokuguqula kwakhona. Umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo umzekelo. Enye ukuxhaswa kwimodeli zehlabathi ziquka i-ontologies ezahlukahlukeneyo, ngoko kunzima ukucacisa i-ontologies ezidlulileyo kunye ne-learned. I-Prescribed vs. Learned Ontologies: Izindlela ezimbini ze-Organization Structure Inani abaninzi bafumane ingxaki ukufikelela ukuba i-context graph is a graph database okanye i-memory eyenziwe. Oku ayikho. I-context graphs kufuneka unxibelelwano olufanelekileyo kwi-schema kunye ne-representation. Yinto kubaluleke njengoko amaqela ukufumana izixhobo ezaziwayo (Neo4j, iivenkile ze-vector, iigrafu ze-knowledge) kwaye zibonakalisa ukuba ama-agents ze-agents ze-intelligent. "Ontology" i-terms overloaded. Kukho i-ontologies ezihlawulwe (iinjini zeempawu, iinkqubo zokusebenza, iingxaki ze-governance). I-Palantir ibekwe inkampani ye-$50B kule: ingxaki esifunyenweyo yokubhalisa idatha yeenkampani kwi-object kunye neengxaki. Uyakwazi ukucacisa i-schema. Uyakwazi ukuqhuba. Oku kusebenza xa uyazi isakhiwo kwi-front. Inkampani elandelayo le-$ 50B iya kuqhutywa kwi-ontologies ezaziwayo. Isakhiwo esekelwe kwindlela yokwenza umsebenzi ngokwenene, ayikho yintoni uye uyilo. Oku kubalulekile ngenxa yokuba kukho izinto ezininzi ezaziwayo ekubeni ekubeni kwimeko, kwaye ama-agents zibonisa iingcebiso zethu! I-AI ye-Enterprise kufuneka uqhagamshelane kunye. Kukho iintlobo ezininzi ze-priors ze-ontologies ezihlawulweyo. Kukho malunga nenkqubo yokufunda, ukwakhiwa, kunye nokuphucula i-implicit. Iingxaki ze-implicit (i-entity ezihambelana kunye ne-co-occurrents kwi-decision chains) iyiphi na ingxaki. Kwaye ngoko ke i-memory ayikwazisa inkinga. Ukucinga kubonakala ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi ukuba uyazi. Enye ingxaki: "Iingxaki zeentsebenziswano ziquka i-trajectory logs." Yinto efana nokuba i-embeddings ziquka i-index yeengxaki. I-technically adjacent, i-conceptually wrong. Ingaba uye uyakufunda xa i-embeddings iye zilungele njenge-tech alien? Umgangatho we-probabilistic yokubonisa i-similarity eyenza i-problemu ye-solved ye-fuzzy search ilungele kwi-prehistoric. Abantu bafuna, "Yintoni ndifuna le nto xa ndiye i-Elasticsearch?" Thina ngexesha elifanayo lokugqibela ukufundisa isakhiwo. I-Trajectory logs ibhalisele yintliziyo. I-Decision traces (yenza ngokufanelekileyo) ibhalisele ukuba yintliziyo yintliziyo. Yintliziyo ezifanelekileyo. Yintliziyo ezifanelekileyo. Yintliziyo ezifanelekileyo. Yintliziyo yintliziyo yintliziyo. Yintliziyo yintliziyo yintliziyo yintliziyo. Umbala: i-logs iingcebiso ze-append-only. Iingcebiso ze-decision iingcebiso ze-training yeemodeli zehlabathi zokuvelisa. I-schema ayikho into olufikelelwa ngexesha elandelayo. Iingcebiso ifumaneka kwiingcebiso. Zonke oku kungabonakali kakhulu academic okanye hypothetical, kodwa i-context charts ziyafumaneka kwihlabathi namhlanje, kwaye iya kutshintshe kakhulu kwihlabathi. Yintoni i-Context Graphs ngokwenene isebenze I-context graph ifumaneka ngokufanelekileyo xa unako ukuguqula iintlawulo ezininzi kwi-replayable: akukho kuphela iziganeko, kodwa izixazululo kunye neengxelo ezifunekayo, iimfuno ezidlulileyo, i-tradeoff ebonakalayo, kunye neeyona ezidlulileyo. Ngaphandle kokuba, unokufumana iimodeli ebonakalayo ebonakalayo, okanye i-firehose ye-activity ebonakalayo. Okokuqala, i-decision surface kufuneka yenzelwe. Ezinye iidolophu ziquka i-commit: i-triage calls, i-dispatch reassignments, i-deviation approvals, i-escalation decisions that end up in a clear "we're doing X." Ezi ziquka ziquka i-limit phakathi kwe-deliberation kunye ne-commitment. Enye iimeko ziquka kwi-half-decisions kunye neengxaki ze-reversible. Ukuba awukwazi ukucacisa into efanelekileyo njengoko isisombululo, uya kufutshane kwimodeli ye-noise kunokuba yi-judgment. Yinto apho ezininzi iimpumelelo ze-generic "i-process mining + LLM" zihlale: zith Okokuqala, ukuchitha ukuchitha kubalulekile ngenxa yokuba kucacisa ukuba kufuneka ukufumana iingxaki zokuzimela. Le nqakraza ifumaneka ngokucacileyo kumazwe. Kwiimeko ezithile, izixazululo zihlala kwi-software, ngoko izixazululo zihlala ngokwemvelo. Kwiimeko ezininzi, ukutshintsha kwimali: kwi-escalations, i-handoffs, i-dispatch calls, i-re-planning iingxaki, i-negotiations. Yeyona yoko i-voice i-unlock kwiimveliso ezininzi zehlabathi ze-physical: ibonelela ukuchitha iingxaki ze-decision ye-verbal njengoko kuza, ngaphandle kokuqinisekisa abantu ukuba zibon Okwangoku, ukufumana kuphela akufanelekileyo. I-context captured ingaba ngempumelelo, i-stale, okanye ngempumelelo. I-context charts zithunyelwe iziphumo ze-organization: ukucaciswa kwe-optimistic eyenza i-lore, izixazululo zithunyelwe kwibhaliweyo ziye ziye zithunyelwe kwizivumelwano, iingcebiso ezidlulileyo kodwa ezidlulileyo. I-ontology ye-stability ihamba, kodwa iziphumo zayo zihlanganisa, kwaye ngoko i-market ibonakele. Kwizithuba ezininzi ezininzi, isakhiwo esibonakalayo yehlabathi ibekwe ngokufanelekileyo. Yintoni iintlobo ze-ontology-first ziyafumaneka nangona. Kodwa le zithuba ezininzi ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zithunyelwe ukuba zithunyelwe iimali ezininzi-up-front ngenxa yokuba i-decision layer efanelekileyo ayikwazi ukufikelela ngexesha elifanelekileyo. I-opportunity kuyinto ukugcina i-substrate, kodwa ukongeza i-learning loop: isetyenzise iimodeli ebonakalayo njenge-staffolding, kwaye zithunyelwe ukufundisa inkqubo ngokugqithisileyo indlela izixazululo zibonakalayo. Ng Kwi-tech, ingxaki engqongileyo ifumaneka. I-ontologies iye engqongileyo ngenxa yokuba i-business ngokugqithisileyo. Iimveliso zithunyelwe kwaye zithunyelwe iimfuneko. Iimpazamo zihlanganisa. Iimpazamo ze-go-to-market zihlanganisa. Iimodeli ezintsha zithunyelwa, iimodeli ezidlulileyo zithunyelwa. Kwimveliso ye-B2B, apho i-deals, i-accounts, i-territory, i-approvals, kunye ne-discount logic zihlanganisa ngegama, i-region, kunye ne-quarter. Ukuqhathaniswa oku kuthatha imiphumo embalwa. Iindawo ezahlukeneyo zeNkampani zihlanganisa iinkcukacha ezahlukileyo ze "ke nqakraza": iingcebiso ze-strateji ezinxulumene, iingcebiso ze-metric ezinxulumene, iingcebiso ezinxulumene ngexabiso, iingcebiso ze-sales ezinxulumene ne-intent ye-product. Kwi-human-only organizations, oku kuthathwe ngexabiso kunye ne-escalation. Kwi-organization ye-agents, kuza ngqo, ngenxa yokusebenza kwimeko ye-agents. Iingcebiso ze-contradictory akukwazi ukuvelisa imiphumo engcono, kuvelisa umsebenzi oluthile, iingcebiso ez Kwiminyaka embalwa, into enzima kakhulu eyenza iinkonzo, akukho data. It is the collection of decisions. Iimveliso ezihlangeneyo malunga nenkqubo yokusebenza: into efanelekileyo, iingcebiso ezihlangeneyo, iingcebiso ezihlangeneyo, iingcebiso ezihlangeneyo, iingcebiso ezihlangeneyo ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. If you can capture judgment as a byproduct of execution and keep it current, you can build the context graph: compounding decision memory that becomes the foss. Iingcebiso ze-instruments, ngoko uqhagamshelane iingcebiso ezikhoyo. Kukho i-inversion ebonakalayo ngexesha elide. Ngaphandle kokubonisa umhlaba kuqala, unako ukufikelela iingcebiso ngexesha elidlulileyo, kwaye ufunde indlela yokuqinisekisa kusetyenziswa kwimveliso. Xa ukutshintsha, uya kufumana iimveliso ezibonakalayo, iimfuno ezisetyenziswa, i-compromise yenzelwe, i-action yenzelwe, kunye neendlela yokuqiniswa kwakhona. Ngexesha elide, ezi zibonakalayo zihlanganisa kwi-memory yaye indlela yokuqiniswa kwakhona. Oku akukhetha i-ontology ye-formal, kwaye akukwazi ukwenza yonke into ngexesha elifanayo. Iimodeli ebonakalayo kunokwenzeka kwimodeli ye-semantics, i-state, kunye ne-hard constraints. I-part esebenzayo yi-layer-ontology-i-first platforms akukwazi ukufumana ngokufanelekileyo: i-constraints ezincinci, iimodeli ze-exception, kunye ne-heuristics ye-silent ezibonisa iziphumo. Kwi-healthcare, i-system uyazi ukuba i-private authorization yabasetyenziswa. Akukwazi ukuba i-pattern ebonakalisa ukuba umdla uye ufumane kwiintsuku ezintathu okanye iiveki ezintathu: le i-documentation format i-payer isibophelela, xa izibophelelo zihlale, xa i-peer-to-peer kufuneka ifumanwe ngokufanelekileyo, kwaye i- "izinyathelo ze-standard" ziyi-dead ends. I-logic ayikho kwi-scheme. It ibekwe kwi-precedent eyakhiweyo ye-organisation. Ukusabela kwimveliso ye-economics. Kwiimeko yokukhokha i-imali ye-modeling epheleleyo phambi, unako ukuqala nge-substrate elincinci kwaye ufumane i-layer ye-value-highest kwi-operations ezifanelekileyo. I-value-compounds njengoko zonke iimeko ze-edge ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Iinkqubo ezininzi zinokufuneka ukuba oku kwenziwe; phantse akukho inokufuneka ukuguqulwa njani ukuba oku kwenziwe ngexesha lokufuneka. I-context graph is a graph of nouns; it is a graph of decisions with evidence, constraints, and outcomes. Uyakwazi ukuqala ukufikelela ukuba iinkcukacha zithunyelwe kwiziko, iinkqubo zeenkcukacha, kodwa kunokwenzeka ukuba zithunyelwa kwiziko olutsha. Yintoni i-Incumbents ayikwazi ukwakha i-Context Graphs Iziqu ze-optimistic that existing players will evolve into this architecture. Warehouses become "truth registries," while CRMs become "state machines with APIs." Oku kuyinto umxholo we-evolution, akukho ukuguqulwa. Yintoni ingasebenza ukwenza iinkcukacha ezidlulileyo. Akukho umsebenzi yokufaka iimpazamo yokufaka. Iimpawu zokusebenza ziye zithintela kwaye zithintela kwimeko yokusebenza. I-Salesforce ihamba i-Agentforce, i-ServiceNow ine-Now Assist, kwaye i-Workday ihamba i-agents ye-HR. I-Pitch yayo i-"yintoni idatha, ngoku sinikezela i-intelligence." Kodwa lezi ama-agents zibonakalisa iingcaciso ze-architectural yayo. I-Salesforce ibekwe kwi-state-current storage: ibekwe njani i-opportunity ngoku, ayikho yintoni yintoni apho ilungele xa ilungiswe. Xa i-discount ibekwe, i-context ebonakalayo ayikho. Unako ukudlala i-state yehlabathi ngexesha le-decision, nto leyo kuthetha ukuba ungenza i-decision, ukufundisa kwakhona, okanye usebenzise njenge-precedence. Zininzi zihlala iindawo ezimbini zayo. Ukuphumla kwe-support ayikho kwi-Zendesk kuphela. Oku kuxhomekeke kwinqanaba le-client ye-CRM, i-SLA ye-facturing, iingxaki ezidlulileyo ze-PagerDuty, kunye ne-Slack thread flagging churn risk. Akukho umntu oya kuba kuba akukho umntu oya kuxhomekeke kwi-cross-system path. Iinkampani ezifunyanwa kwi-intersection of systems zibonise. I-RevOps ikhona ngenxa yokuba umntu kufuneka uqhagamshelane iintengiso, i-finance, i-marketing, kunye ne-client success. I-DevOps ikhona ngenxa yokuba umntu kufuneka uqhagamshelane nophuhliso, i-IT, kunye ne-support. I-Security Ops ikhona phakathi kwe-IT, i-engineering, kunye ne-compliance. Zonke iimfuneko ze- "glye" zibonakalisa. Zifumaneka ngoko ngenxa yokuba akukho inkqubo ye-record enomnye inkqubo ye-workflow ye-cross-functional. I-org chart ibekwe i-roll yokuthumela i-context eyenza i-software. I-agent enomatshini le nqakraza ayidlulanga ngokukhawuleza. I-agent inokufumana iingcebiso, iingcebiso kunye neengxaki ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Ukukhanyisa yonke into, yintoni oku kuthetha ngokwenene kwimveliso namhlanje? Umbuzo akuyona ukuba iinkqubo ze-record ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Yintoni: Iingxaki ezintathu ezininzi I-Context Graphs kufuneka isixazulule iinkcukacha ezintathu: Iingxaki zeeyurophu ezimbini. Siye ziye zibonise izakhiwo zeeyurophu zeeyurophu zeeyurophu zeeyurophu zeeyurophu zeeyurophu zeeyurophu zeeyurophu zeeyurophu. I-Schema njenge-Output. Unako ukucacisa i-ontology ye-Organization. I-Agent trajectories ibonise isakhiwo nge-problem-directed traversal. I-embeddings iboniswe kwi-structural, ngaphandle kwe-semantic-ukufumana iimeko kunye neengxaki ze-razing, ngaphandle kwe-significance. Iimodeli zehlabathi, akukho iinkqubo ze-recovery. Iigrafu ze-context ezihambisa izakhiwo ezininzi ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. Iinkampani ezifanayo ziya kuba into eyahlukileyo. Akukho ama-agents ezifanayo iimfuno - intloko lwezimfuneko ezihlabathi kunye nokuphuhlisa. Oku ibonise iimviwo, akukwazi ukufumana iimviwo ezidlulileyo kuphela. Oku iimeko ezaziwayo kwiimodeli zehlabathi ngaphandle kokufumana ukusuka kwakhona. Yintoni i-unlock. Akukho iimodeli ezilungileyo. I-Infrastructure engcono yokwenza iintelijhalo ezisetyenziswayo zihlanganisa.
