Agentic AI inomira yakagadzirira kushandura ruzivo rwevatengi uye kushanda zvakanaka, zvichidikanwa nzira nyowani kubva kuhutungamiriri. Uku kushanduka kwehungwaru hwekugadzira kunopa simba masisitimu kuronga, kuita, uye kuenderera mberi mumabasa, zvichipfuura kurudziro yakapusa kuita chiito. Kune zvikwata zveUX, mamaneja ezvigadzirwa, uye vatariri, kunzwisisa shanduko iyi kwakakosha pakuvhura mikana mukuvandudza, kugadzirisa mafambiro ebasa, uye kutsanangurazve kuti tekinoroji inoshanda sei nevanhu. Zviri nyore kuvhiringa Agentic AI neRobotic Process Automation (RPA), inova tekinoroji inotarisa pamitemo-yakavakirwa mabasa anoitwa pamakomputa. Musiyano uri mukuomarara kana kufunga. RPA yakanakisa pakutevera chinyorwa chakasimba: kana X akaitika, ita Y. Inotevedzera maoko emunhu. Agentik AI inotevedzera kufunga kwevanhu. Izvo hazviteveri mutsara script; inogadzira imwe. Funga nezve hurongwa hwekutsvaga basa. Iyo RPA bot inogona kuongorora resume uye kuiisa kune dhatabhesi. Inoita basa rekudzokorora zvakakwana. Iyo Agentic system inotarisa kunotangazve, inocherekedza mukwikwidzi anonyora chakananga chitupa, mareferensi-mareferensi ayo ane chitsva chemutengi chinodiwa, uye anosarudza kunyora yakasarudzika email yekuzivisa inoratidzira iwo mutambo. RPA inoita chirongwa chakafanotsanangurwa; Agentik AI inogadzira hurongwa zvichienderana nechinangwa. Kuzvitonga uku kunopatsanura vamiririri kubva kune maturusi ekufungidzira atakashandisa kwemakore gumi apfuura. Mumwe muenzaniso kugadzirisa kusawirirana kwemisangano. Muenzaniso wekufungidzira wakabatanidzwa mukarenda yako unogona kuongorora hurongwa hwemusangano wako uye zvirongwa zvevaunoshanda navo. Zvinozogona kupa pfungwa yekukonana kungangoitika, semisangano miviri yakakosha yakarongwa panguva imwe chete, kana musangano wakarongwa apo mutori wechikamu anokosha anenge ari pazororo. Inokupa iwe ruzivo uye inomisikidza zvingangoitika nyaya, asi iwe une basa rekutora matanho. Iyo agent AI, mune imwecheteyo mamiriro, yaizoenda kupfuura kungokurudzira kusawirirana kudzivirira. Pakuona kupokana nemutori wechikamu akakosha, mumiriri anogona kuita ne:
Kuongorora kuwanikwa kwevose vatori vechikamu vanodiwa. Kuziva dzimwe nguva dzenguva dzinoshanda kune wese munhu. Kutumira mapepa ekukoka kumisangano mitsva kune vose vanopinda. Kana kupokana kuri kune wekunze, mumiririri anogona kunyora uye kutumira email inotsanangura kukosha kwekuronga zvakare uye kupa dzimwe nguva. Kugadziridza karenda yako uye makarenda evamwe vako neruzivo rutsva rwemusangano kana rwasimbiswa.
Iyi agent AI inonzwisisa chinangwa (kugadzirisa kusawirirana kwemusangano), inoronga nhanho (kutarisa kuwanikwa, kutsvaga dzimwe nzira, kutumira kukoka), inoita nhanho idzodzo, uye inoenderera kusvikira kunetsana kwagadziriswa, zvese nekupindira kushoma kwemushandisi. Izvi zvinoratidza mutsauko we "agent": sisitimu inotora matanho ekukurumidza kumushandisi, pane kungopa ruzivo kumushandisi. Agentik AI masisitimu anonzwisisa chinangwa, ronga akateedzana nhanho kuti uzviite, ita nhanho idzodzo, uye kunyange kugadzirisa kana zvinhu zvikatadza. Funga nezvazvo semubatsiri wedhijitari. Iyo yepasi tekinoroji inowanzobatanidza mahombe emitauro mamodheru (LLMs) ekunzwisisa uye kufunga, nekuronga maalgorithms anoputsa mabasa akaomarara kuita zviito zvinogoneka. Ava vamiririri vanogona kudyidzana neakasiyana maturusi, APIs, uye kunyange mamwe maAI modhi kuti vazadzise zvinangwa zvavo, uye zvine hungwaru, vanogona kuchengetedza inoshingirira mamiriro, zvichireva kuti vanorangarira zviito zvekare uye vanoramba vachishanda vakananga kune chinangwa nekufamba kwenguva. Izvi zvinovaita kuti vasiyane zvakanyanya neyakajairwa generative AI, iyo inowanzopedzisa chikumbiro chimwe chete uye yozogadzirisa. A Nyore Taxonomy yeAgentic Behaviors Isu tinokwanisa kupatsanura maitiro emumiririri mune ina dzakasiyana nzira dzekuzvimiririra. Nepo izvi zvinowanzoita senge kufambira mberi, zvinoshanda seyakazvimirira maitiro ekushandisa. Mushandisi anogona kuvimba nemumiririri kuti aite akazvimirira pakuronga, asi zvichengetedze mu "mazano maitiro" ekutengeserana kwemari. Isu takawana aya mazinga nekugadzirisa indasitiri zviyero zvemotokari dzinozvimiririra (SAE mazinga) kune dijitari ruzivo rwemushandisi mamiriro. Ongorora-uye-Kukurudzira Mumiririri anoshanda semonitor. Iyo inoongorora nzizi dze data uye mireza anomalies kana mikana, asi inotora zero chiito. KusiyanisaKusiyana nedanho rinotevera, mumiririri anogadzira hapana hurongwa hwakaoma. Inonongedzera kune dambudziko. MuenzanisoA DevOps mumiriri anocherekedza sevha CPU spike uye anozivisa pa-kufona injiniya. Iyo haizive nzira kana kuedza kuigadzirisa, asi inoziva kuti chimwe chinhu chakaipa. Zvinoreva dhizaini nekutarisaPadanho iri,dhizaini nekutarisisa kunofanirwa kukoshesa zviziviso zvakajeka, zvisingapindire uye nzira yakanyatsotsanangurwa yevashandisi kuita pane mazano. Chinangwa ndechekupa mushandisi simba neruzivo rwakakodzera nguva uye rwakakodzera pasina kutora kutonga. Vashandi veUX vanofanirwa kutarisa pakuita kuti mazano akajeka uye ari nyore kunzwisisa, nepo mamaneja echigadzirwa achifanirwa kuona kuti sisitimu inopa kukosha pasina kuremedza mushandisi. Ronga-uye-Kukurudzira Mumiririri anoona chinangwa uye anogadzira nzira yakawanda-nhanho yekuchizadzisa. Inopa hurongwa hwakazara hwekuongorora kwevanhu. DifferentiationMumiririri anoshanda senyanzvi. Hazviiti; inomirira kubvumidzwa panzira yese. MuenzanisoUyo mumiririri weDevOps anocherekedza iyo CPU spike, anoongorora matanda, uye anopa zano rekugadzirisa:
Dzokorora mamwe maitiro maviri. Tangazve chiyero chemutoro. Chengetedza matanda ekare.
Munhu anoongorora pfungwa uye anodzvanya "Bvumira Chirongwa". Zvinorehwa nedhizaini nekutarisaKuvamiririri vanoronga nekupa zano, dhizaini inofanirwa kuona kuti zvirongwa zvakarongwa zvinonzwisisika zviri nyore uye kuti vashandisi vane nzira dzakajeka dzekuzvigadzirisa kana kuzviramba. Kutarisisa kwakakosha mukutarisa kunaka kwezvikumbiro uye marongero emumiririri. Vashandi veUX vanofanirwa kugadzira zviono zvakajeka zvezvirongwa zvakarongwa, uye maneja echigadzirwa anofanira kumisa ongororo yakajeka uye kubvumidza mafambiro ebasa. Ita-ne-Simbiso Mumiririri anopedza basa rose rekugadzirira uye anoisa chiitiko chekupedzisira munzvimbo yakarongwa. Inobata musuwo zvakanaka, ichimirira kugutsurira. KusiyanisaIzvi zvinosiyana ne "Plan-and-Propose" nekuti basa rakatoitwa uye rakarongwa. Inoderedza kukakavara. Mushandisi anosimbisa mhedzisiro, kwete zano. MuenzanisoMushandi wekunyorera anodhirowa mashanu ekukoka kubvunzurudza, anowana nguva dzakavhurika pamakarenda, uye anogadzira zviitiko zvekarenda. Inopa bhatani rekuti "Send All". Mushandisi anopa mvumo yekupedzisira kukonzeresa chiito chekunze. Zvinorehwa nedhizaini nekutarisisaKana vamiririri vakaita nekusimbisa, dhizaini inofanirwa kupa pachena uye pfupiso pfupi yechiito chakatarisirwa, ichinyatso tsanangura zvingangoitika. Kutarisisa kunofanirwa kuona kuti nzira yekusimbisa yakasimba here uye kuti vashandisi havasi kukumbirwa kuti vabvumidze zviito zvisirizvo. Vashandi veUX vanofanirwa kugadzira madhizaini ekusimbisa akajeka uye anopa ruzivo rwese rwunodiwa, uye mamaneja echigadzirwa anofanirwa kukoshesa nzira yekuongorora yakasimba kune zvese zvakasimbiswa zviito. Kuita-Kuzvimirira Mumiririri anoita mabasa akazvimiririra mukati memiganhu yakatsanangurwa. KusiyanisaMushandisi anoongorora nhoroondo yezviito, kwete zviito zvacho. Muenzaniso Mumiriri anoona kupokana, anoendesa kubvunzurudzwa kune backup slot, anovandudza mumiriri, uye anozivisa maneja wehachi. Munhu anongoona chiziviso: Hurukuro yakarongwazve Chipiri. Mhedzisiro yedhizaini uye yekutarisaKuvamiriri vanozvimirira, dhizaini inoda kumisikidza yakajeka pre-yakatenderwa miganhu uye inopa yakasimba yekutarisa maturusi. Kutarisisa kunoda kuenderera mberi kwekuongorora kwekuita kwemumiriri mukati meiyi miganhu, kudiwa kwakakosha kwekutema matanda, nzira dzakajeka dzekupfuura, uye shanduko yekuuraya inotsanangurwa nemushandisi kuchengetedza mushandisi kutonga uye kuvimba. Vashandi veUX vanofanirwa kutarisisa kugadzira madhibhodhi anobudirira ekutarisa kuzvitonga kwemumiriri, uye mamaneja echigadzirwa anofanira kuona kuti hutongi hwakajeka uye nhungamiro dzetsika dziripo.
Ngatitarisei kune chaiyo-yepasirese application muHR tekinoroji kuona aya modhi mukuita. Funga nezve "Interview Coordination Agent" yakagadzirirwa kubata hurongwa hwekuhaya.
Mune Suggest ModeMumiririri anoona kuti mubvunzurudzo ane bhuku rakapetwa kaviri. Inotaridza kupokana kuri padhibhodhi yevanotora: "Yambiro: Sarah akarongedzerwa kaviri kubvunzurudzo 2 PM." MuChirongwa ModeMumiririri anoongorora karenda yaSarah uye kuwanikwa kwemumiriri. Inopa mhinduro: "Ndinokurudzira kuendesa hurukuro kuChina na10 AM. Izvi zvinoda kufambisa Sarah's 1:1 namaneja wake." Muchengeti anoongorora pfungwa iyi. MuConfirmation ModeMumiririri anonyora maemail kumumiriri uye maneja. Inozadza kukoka kwekarenda. Anopinza basa anoona pfupiso: "Wagadzirira kurongazve China. Tumira zvigadziriso?" Muchengeti anodzvanya "Confirm." Mune Autonomous ModeMumiririri anobata kukonana ipapo ipapo. Inoremekedza mutemo wakagara waiswa: "Gara uchiisa pamberi pebvunzurudzo dzevamiriri pamusoro pemukati 1: 1s." Inofambisa musangano uye inotumira zviziviso. Anopinza basa anoona chinyorwa chegi: “Yakagadziriswakuronga kusawirirana kweMumiriri B.”
Tsvagiridzo Yekutanga: Zvekutsvagisa Uye Sei Kugadzira inoshanda ejenti AI inoda yakasarudzika nzira yekutsvagisa ichienzaniswa neyechinyakare software kana kunyange generative AI. Hunhu hwekuzvimirira hwevamiririri veAI, kugona kwavo kuita sarudzo, uye kugona kwavo kuita zvechimbichimbi kunoda nzira dzakasarudzika dzekunzwisisa zvinotarisirwa nevashandisi, kugadzira mepu yakaoma maitiro evamiririri, uye kutarisira kutadza kungangoitika. Iyi inotevera yekutsvagisa yekutanga inotsanangura nzira dzakakosha dzekuyera uye kuongorora aya akasiyana maficha eagetic AI. Hurukuro dzeMental-Model Iyi bvunzurudzo inofumura mafungiro evashandisi ekuti mumiriri weAI anofanira kuzvibata sei. Panzvimbo pekungobvunza izvo vashandisi vanoda, chinotariswa ndechekunzwisisa yavo yemukati mamodheru ekugona kwemumiririri uye zvaasingakwanisi. Tinofanira kudzivisa kushandisa izwi rekuti “mumiririri” kune vatori vechikamu. Inotakura sci-fi mukwende kana izwi rinovhiringika zviri nyore nemumiririri wevanhu anopa rutsigiro kana masevhisi. Pane kudaro, ronga nhaurirano yakatenderedza "vabatsiri" kana "hurongwa." Isu tinofanirwa kufumura kupi vashandisi vanodhirowa mutsetse pakati peanobatsira otomatiki uye intrusive control.
Nzira: Bvunza vashandisi kuti vatsanangure, vadhirowe, kana kurondedzera kusangana kwavo kunotarisirwa nemumiririri mune dzakasiyana siyana dzekufungidzira. Key Probes (inoratidza akasiyana maindasitiri): Kuti unzwisise miganhu yeinodiwa otomatiki uye zvinogona kuzvidya mwoyo zvakatenderedza pamusoro-otomatiki, bvunza: Kana ndege yako ikanzurwa, chii chaungade kuti system yacho iite otomatiki? Chii chingakunetsa kana ikaita izvozvo pasina kuraira kwako kwakajeka?
Kuti uongorore manzwisisiro emushandisi maitiro emukati memumiririri uye kutaurirana kwakakosha, bvunza: Fungidzira mubatsiri wedhijitari ari kubata yako smart imba. Kana pasuru ikaunzwa, ndeapi matanho aunofunga kuti anotora, uye ndeapi ruzivo rwaungatarisira kugamuchira?
Kuti uburitse zvinotarisirwa zvakatenderedza kutonga uye kubvuma mukati memaitiro akawanda-nhanho, bvunza: Kana iwe ukakumbira mubatsiri wako wedhijitari kuronga musangano, matanho api aunofunga uchitora? Ndezvipi zvaungada kubvunzwa kana kupihwa sarudzo?
Mabhenefiti eiyo nzira: Inoburitsa fungidziro dzakajeka, inosimbisa nzvimbo idzo maitiro akarongwa emumiririri anogona kusiyana kubva pane zvinotarisirwa nemushandisi, uye inozivisa dhizaini yekutonga kwakakodzera uye maitiro emhinduro.
Agent Journey Mapping: Zvakafanana neyechinyakare mushandisi mepu yerwendo, mepu yerwendo rwemumiriri inotarisisa pane zvinotarisirwa zviito uye mapoinzi esarudzo yemumiriri weAI pachayo, padivi pekudyidzana kwemushandisi. Izvi zvinobatsira kuziva proactively zvinogona kukanganisa.
Method: Gadzira mepu yekuona inotsanangura matanho akasiyana-siyana ekushanda kwemumiririri, kubva pakutanga kusvika pakupera, kusanganisira zvese zvingangoitwa, sarudzo, uye kudyidzana nekunze masisitimu kana vashandisi. Zvinhu zvakakosha kuMepu: Zviito zvemumiririri: Ndeapi mabasa chaiwo kana sarudzo dzinoitwa nemumiririri? Ruzivo Rwekupinda/Zvinobuda: Ndeipi data inodiwa nemumiririri, uye iruzivo rwupi rwainoburitsa kana kutaurirana? Decision Points: Mumiririri anoita sarudzo kupi, uye ndedzipi nzira dzesarudzo idzodzo? Mushandisi Kudyidzana Mapoinzi: Mushandisi anopa kupi kupinza, kuongorora, kana kubvumidza zviito? Mapoinzi eKukundikana: Zvakanyanya kukosha, tarisa mamiriro chaiwo apo mumiririri anogona kududzira zvisizvo mirairo, kuita sarudzo isiriyo, kana kusangana nechinhu chisiri icho. Mienzaniso: Mugamuchiri asiriwo (somuenzaniso, kutumira mashoko anorwadza kumunhu asiriye), overdraft (somuenzaniso, mubhadharo wega wega unopfuura mari iripo), kududzira zvisizvo chinangwa (somuenzaniso, kubhuka ndege yezuva risiri iro nekuda kwemutauro usinganzwisisike).
Nzira dzekudzoreredza: Mumiririri kana mushandisi anogona sei kupora kubva mukukundikana uku? Ndedzipi nzira dziripo dzekugadzirisa kana kupindira?
Mabhenefiti eiyo nzira: Inopa maonero akazara ekuyerera kwemumiriri, inofumura zvinovimbika, uye inobvumira dhizaini yekudzivirira, kubata kukanganisa, uye nzvimbo dzekupindira kwemushandisi kudzivirira kana kuderedza mhedzisiro yakaipa.
Simulated Misbehavior Testing: Iyi nzira yakagadzirirwa kusimbisa-kuyedza sisitimu uye kuona maitiro evashandisi kana mumiriri weAI atadza kana kutsauka kubva pane zvinotarisirwa. Izvo ndezvekunzwisisa kugadzirisa kuvimba uye mhinduro dzemanzwiro mumamiriro akashata.
Method: Muzvidzidzo zverabhu inodzorwa, suma nemaune mamiriro apo mumiririri anokanganisa, anodudzira zvisirizvo murairo, kana kuita zvisingatarisirwi. Mhando dze "Misbehavior" yekutevedzera: CommandKududzira zvisizvo: Mumiririri anoita chiito chakasiyana zvishoma kubva pane zvaidiwa nemushandisi (semuenzaniso, kuodha zvinhu zviviri pane chimwe). Ruzivo Rwakawandisa/Kuisa pasi: Mumiririri anopa ruzivo rwakawandisa rusina basa kana ruzivo rwakakwana rwakakwana. Chiito Chisina Kukumbirwa: Mumiririri anotora chiito icho mushandisi chaisada kana kutarisira (semuenzaniso, kutenga stock pasina mvumo). Kukundikana KweSistimu: Mumiriri anopunzika, haapindure, kana kupa meseji yekukanganisa. Ethical Dilemmas: Mumiririri anoita sarudzo ine chekuita netsika (semuenzaniso, kuisa pamberi pebasa rimwe pamusoro perimwe zvichienderana nemetric isingatarisirwe).
Observation Focus: Zvinoitwa nemushandisi: Vashandisi vanoita sei mupfungwa (kushushikana, kutsamwa, kuvhiringidzika, kurasikirwa kwekuvimba)? Kuedza Kudzoreredza: Matanho api anotorwa nevashandisi kugadzirisa maitiro emumiririri kana kugadzirisa zviito zvake? Vimba Repair Mechanisms: Ko iyo sisitimu yakavakirwa-mukati kudzoreredza kana mhinduro nzira dzinobatsira kudzoreredza kuvimba? Vashandisi vanoda sei kuziviswa nezve zvikanganiso? Mental Model Shift: Kusazvibata kunoshandura manzwisisiro emushandisi wezvaanogona kana zvaasingakwanisi?
Mabhenefiti eiyo nzira: Yakakosha pakuona magaba ekugadzira ane chekuita nekukanganisa kudzoreredza, mhinduro, uye kutonga kwemushandisi. Inopa manzwisisiro ekuti vashandisi vakatsiga sei kumirira kutadza uye chii chinodiwa kuchengetedza kana kuvakazve kuvimba, zvichitungamira kune akasimba uye anoregerera agent masisitimu.
Nekubatanidza idzi nzira dzekutsvagisa, varapi veUX vanogona kufamba kupfuura kungoita maajenti masisitimu ashandiswe kuita kuti vavimbike, vadzoreke, uye vazvidavirire, vachisimudzira hukama hwakanaka uye hunobudirira pakati pevashandisi nevamiriri vavo veAI. Ziva kuti idzi handidzo nzira chete dzinoenderana nekuongorora agenti AI zvinobudirira. Dzimwe nzira dzakawanda dziripo, asi idzi dzinonyanya kuwanikwa nevarapi munguva pfupi iri kutevera. Ini ndakambovhara nzira yeWizard yeOz, nzira yakati pfuurei zvishoma yekuyedza pfungwa, iri zvakare chishandiso chakakosha chekuongorora agetic AI pfungwa. Ethical Kufunga Mutsvagiridzo Methodology Paunenge uchitsvaga agent AI, kunyanya kana uchitevedzera kusazvibata kana kukanganisa, kufunga kwehunhu ndiko kwakakosha kutariswa. Pane zvakawanda zvinyorwa zvinotarisa kutsvagurudzo yehutsika yeUX, kusanganisira chinyorwa chandakanyorera Smashing Magazine, iyi nhungamiro kubva kuUX Design Institute, uye peji rino kubva kuInclusive Design Toolkit. Makiyi Metrics eAgentic AI Iwe unozoda yakazara seti yemakiyi metrics kuti unyatso kuongorora mashandiro uye kuvimbika kweajenti AI masisitimu. Aya metrics anopa ruzivo mukuvimba nemushandisi, huchokwadi hwehurongwa, uye ruzivo rwese rwemushandisi. Nekutevera zviratidzo izvi, vagadziri uye vagadziri vanogona kuona nzvimbo dzekuvandudza uye kuona kuti maAI vamiririri vanoshanda zvakachengeteka uye nemazvo. 1. Intervention RateFor autonomous agents, tinoyera kubudirira nekunyarara. Kana mumiririri akaita basa uye mushandisi akasapindira kana kudzosera chiito mukati mehwindo rakaiswa (semuenzaniso, maawa makumi maviri nemana), tinoverenga izvozvo sekugamuchirwa. Isu tinoteedzera Yekupindira Rate: kangani munhu anosvetukira mukati kuti amise kana kugadzirisa mumiririri? Mwero wepamusoro wekupindira unoratidza kusarongeka mukuvimba kana kufunga. 2. Kuwanda kweZviito Zvisingatarisirwi pa1,000 MabasaIri metric yakakosha inotara nhamba yezviito zvakaitwa nemumiririri weAI izvo zvaisadiwa kana kutarisirwa nemushandisi, zvakajairwa pa1,000 akapedzwa mabasa. Kuderera kwakaderera kwezviito zvisingatarisirwi kunoratidza AI yakanyatsorongeka iyo inodudzira zvakarurama chinangwa chevashandisi uye inoshanda mukati memiganhu yakatsanangurwa. Iyi metric yakanyatso sunganidzwa nekunzwisisa kweAI kwemamiriro ezvinhu, kugona kwayo kusiyanisa mirairo, uye kusimba kwezvitendwa zvayo zvekuchengetedza. 3. Kudzoreredza kana Kudzosa MitemoIyi metric inoteedzera kuti kangani vashandisi vanoda kudzosera kumashure kana kumisa chiitiko chakaitwa neAI. High rollback rates inoratidza kuti AI iri kuita zvikanganiso kakawanda, kududzira zvisizvo mirairo, kana kuita nenzira dzisingaenderani nezvinotarisirwa nemushandisi. Kuongorora zvikonzero zviri shure kweizvi zvidzoreso zvinogona kupa mhinduro yakakosha yekuvandudza maalgorithms eAI, kunzwisisa kwezvinodiwa nemushandisi, uye kugona kwayo kufanotaura zvinodikanwa. Kuti unzwisise kuti sei, iwe unofanirwa kuita microsurvey pane iyo undo chiito. Semuenzaniso, kana mushandisi akadzosera shanduko yehurongwa, kukurumidza kukurumidza kunogona kubvunza kuti: "Nguva isina kururama? Munhu asina kururama? Kana kuti waida kuzviita iwe pachako?" Kubvumira mushandisi kudzvanya pane iyo sarudzo inonyatsoenderana nekufunga kwavo. 4. Nguva Yekugadzirisa Mushure meErrorThis metricinoyera nguva yazvinotora kuti mushandisi agadzirise chikanganiso chakaitwa neAI kana kuti iyo AI system pachayo idzore kubva kune yakakanganisa. Nguva pfupi yekugadzirisa inoratidza inoshanda uye-inoshamwaridzika kukanganisa kukanganisa maitiro, ayo anogona kudzikisira kushushikana kwevashandisi uye kuchengetedza chibereko. Izvi zvinosanganisira kureruka kwekuona kukanganisa, kuwanikwa kwekugadzirisa kana kugadzirisa nzira, uye kujeka kwemameseji ekukanganisa anopihwa neAI.
Kuunganidza aya metrics kunoda kuridza system yako kuteedzera Agent Action ID. Chese chiitiko chakasiyana chinotorwa nemumiririri, sekuronga hurongwa kana kubhuka ndege, chinofanira kuburitsa ID yakasarudzika inorambira mumatanda. Kuti tiyere Chiyero cheKupindira, isu hatitsvage mhinduro yekukurumidza yemushandisi. Isu tinotarisa kusavapo kwekupikisa-chiito mukati mehwindo rakatsanangurwa. Kana Action ID ikagadzirwa na9:00 AM uye pasina munhu anoshandura kana kudzoreredza ID iyoyo na9:00 AM zuva rinotevera, sisitimu yacho inoimaka seYatambirwa. Izvi zvinotitendera kuti tiverenge budiriro zvichibva pakunyarara kwemushandisi pane kuita simbiso. Kune Rollback Rates, mbishi kuverenga hakuna kukwana nekuti ivo havana mamiriro. Kuti ubate chikonzero chiri pasi pechikonzero, iwe unofanirwa kushandisa intercept logic pane yako application's Undo kana Revert mabasa. Kana mushandisi akadzora chiito chakatangwa nemumiririri, konzeresa ongororo yakareruka. Iyi inogona kunge iri nyore-sarudzo modal inokumbira mushandisi kuisa chikanganiso sechisina kururama, kushaya mamiriro, kana sarudzo iri nyore kubata basa racho nemawoko. Izvi zvinosanganisa huwandu hweteremetry nehunhu hwekuona. Inogonesa zvikwata zveinjiniya kusiyanisa pakati peyakaputsika algorithm uye kusawirirana kwemushandisi. Aya metrics, kana akateedzerwa nguva dzose uye akaongororwa zvizere, anopa hwaro hwakasimba hwekuongorora mashandiro eagentic AI masisitimu, achibvumira kuenderera mberi kwekuvandudza mukutonga, kubvuma, uye kuzvidavirira. Kugadzira Kurwisana Nokunyengera Sezvo vamiririri vachiwedzera kugona, isu takatarisana nenjodzi nyowani: Agentic Sludge. Traditional sludge inogadzira kupokana kunoita kuti zviome kudzima kunyoreswa kana kudzima account. Agentic sludge inoita mumashure. Iyo inobvisa kupokana kune kukanganisa, zvichiita kuti zvive nyore kuti mushandisi abvumirane kune chiito chinobatsira bhizinesi pane zvavanofarira. Funga nezvemumiririri anobatsira nekubhuka kwekufamba. Pasina madhiri akajeka, sisitimu inogona kuisa pamberi pemufambidzani nendege kana hotera yepamusoro. Inopa sarudzo iyi senzira yakakwana. Mushandisi, achivimba nechiremera chehurongwa, anogamuchira kurudziro pasina kuongororwa. Izvi zvinogadzira maitiro anonyengedza apo iyo system inokwidziridza mari pasi pechiratidziro chekureruka. Njodzi Yekugona Kufungidzirwa Kwenhema Kunyengera kungasabva pavavariro yakaipa. Inowanzo ratidza muAI seKugona Kunofungidzira. MaModheru eMutauro Makuru anowanzo nzwika seane chiremera kunyangwe asina kururama. Vanopa chisimbiso chenhema chebhukisheni kana pfupiso isina kururama ine chivimbo chakafanana neicho chakasimbiswa. Vashandisi vanogona kuvimba nenzwi rakavimbika iri. Kusawirirana uku kunogadzira mukaha une njodzi pakati pesimba rehurongwa uye zvinotarisirwa nemushandisi. Isu tinofanirwa kugadzira zvakananga kuvhara gap iri. Kana mumiririri akatadza kupedzisa basa, iyo interface inofanirwa kuratidza kukundikana zvakajeka. Kana iyo system isina chokwadi, inofanirwa kuratidza kusava nechokwadi pane kuifukidza neyakakwenenzverwa prose. Kujeka kuburikidza nePrimitives Mushonga wezvese madhaka uye kuonesa kuona ndiko kubva. Chiito chese chekuzvimiririra chinoda metadata tag chaiyo inotsanangura kwakabva sarudzo. Vashandisi vanoda kugona kuongorora iyo logic cheni kuseri kwemhedzisiro. Kuti tiite izvi, tinofanira kushandura zvinyorwa mumhinduro dzinoshanda. Muinjiniya yesoftware, maprimitives anoreva zvikamu zvepakati zveruzivo kana zviito zvinoitwa nemumiririri. Kuinjiniya, izvi zvinoita senge API kufona kana gedhi rine musoro. Kumushandisi, inofanira kuonekwa setsanangudzo yakajeka. Dambudziko rekugadzira riri mukuronga aya matanho ehunyanzvi kune zvinoverengwa nevanhu. Kana mumiririri akakurudzira imwe ndege, mushandisi anofanira kuziva chikonzero. Iyo interface haigone kuvanda kuseri kwechirevo chegeneric. Inofanirwa kuburitsa pachena zvekutanga: Logic: Cheapest_Direct_Flight kana Logic: Partner_Airline_Priority. Mufananidzo wechina unoratidza mafambiro eshanduro iyi. Isu tinotora iyo mbishi system yekutanga - iyo chaiyo kodhi logic - uye mepu kune iyo mushandisi-yakatarisana netambo. Semuenzaniso, chekare chekutarisa kalendari musangano unova chirevo chakajeka: Ini ndakurudzira 4 PM.musangano. Iyi nhanho yekubuda pachena inoita kuti zviito zvemumiririri zvioneke zvine musoro uye zvinobatsira. Inobvumira mushandisi kuona kuti mumiririri aita zvakamunakira. Nekufumura maprimitives, tinoshandura bhokisi dema kuita bhokisi regirazi, tichiona kuti vashandisi vanoramba vari ivo vane masimba ekupedzisira pahupenyu hwavo hwedhijitari.
Kuisa Nhanho Yekugadzira Kuvaka iyo agency system inoda nhanho nyowani yekunzwisisa kwepfungwa uye maitiro. Zvinotimanikidza kuti tifambe kupfuura zvakajairwa usability bvunzo uye kupinda munzvimbo yekuvimba, mvumo, uye kuzvidavirira. Nzira dzekutsvagisa dzatakurukura, kubva pakuferefeta mamodheru epfungwa kusvika pakutevedzera kusazvibata uye kumisikidza metrics matsva, inopa hwaro hunodiwa. Aya maitiro ndiwo maturusi akakosha ekunyatso kuona panogona kutadza kuzvitonga uye, zvakanyanya kukosha, maitiro ekugadzirisa hukama hwemushandisi-mumiririri pazvinoitika. Iko kuchinjika kune agent AI kutsanangudza patsva kwehukama-system hukama. Hatisisiri kugadzira zvishandiso zvinongopindura kumirairo; tiri kugadzira vadyidzani vanotimiririra. Izvi zvinoshandura dhizaini yakakosha kubva pakuita zvakanaka uye nyore kushandisa kuenda kujeka, kufanotaura, uye kutonga. Kana AI ichikwanisa kubhuka ndege kana kutengesa masheya pasina kudzvanya kwekupedzisira, dhizaini yayo "pa-ramps" uye "off-ramps" inova yakakosha. Ibasa redu kuona kuti vashandisi vanonzwa kuti vari pachigaro chemutyairi, kunyangwe kana vapa vhiri. Ichi chokwadi chitsva chinosimudzirawo basa remuongorori weUX. Isu tinova vachengetedzi vekuvimba kwevashandisi, tichishanda takabatana nevainjiniya uye maneja echigadzirwa kutsanangura uye kuyedza mirau yekuzvidzivirira kwemumiririri. Kupfuura kuva vatsvakurudzi, tinova vamiriri vekutonga kwevashandisi, pachena, uye kuchengetedzwa kwetsika mukati mekugadzirisa. Nekushandura zvinyorwa zvepakutanga kuita mibvunzo inoshanda uye kutevedzera mamiriro ezvinhu akaipisisa, tinogona kuvaka masisitimu akasimba ane simba uye akachengeteka. Ichi chinyorwa chatsanangura "chii" uye "nei" chekutsvaga agenti AI. Zvakaratidza kuti maturusi edu echinyakare haana kukwana uye kuti tinofanira kutora nzira itsva, dzinotarisira mberi. Chinyorwa chinotevera chinovaka pamusoro penheyo iyi, ichipa iwo chaiwo magadzirirwo maitiro uye maitiro esangano anoita kuti zvinoshandiswa nemumiririri zvive pachena kune vashandisi, kuve nechokwadi chekuti vanogona kushandisa simba reagetic AI nechivimbo uye kutonga. Ramangwana reUX nderekuita masisitimu avimbike. Kuti uwedzere kunzwisisa kweagetic AI, unogona kuongorora zvinotevera zviwanikwa:
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