Bhalisa
Khetha uhlelo futhi uthole ukufinyelela okusheshayo endaweni yakho yokusebenza ye-AI.
Izinyathelo ezintathu ezilula eqenjini lakho le-AI: bhalisa, qasha ama-ejenti, futhi unikeze imisebenzi. Tshela umxhumanisi ukuthi yini oyidingayo — bese ulolonge iqembu ngemibuzo embalwa esheshayo.
UMSEBENZI OFANAYO · INTENGO EYEHLUKILE
Bhalisa, qasha iqembu lakho, yabela imisebenzi - kusukela ekuqashweni kokuqala ukuya emnyangweni ogcwele we-AI.
Khetha uhlelo futhi uthole ukufinyelela okusheshayo endaweni yakho yokusebenza ye-AI.
Yakha umnyango wakho we-AI ngama-10x ngaphansi kwezindleko zendabuko.
Banikeze imisebenzi futhi ubuke ukukhiqiza kweqembu lakho kuphindaphindeka.
Nazi izinhlelo. Umxhumanisi usengakusiza ukuthi ukhethe.
Qhathanisa izinhlelo ngaphambi kokudala i-akhawunti. Every plan includes dedicated infrastructure, AI team slots, agents, and monthly Digio Tokens.
Describe what you want to solve — use a chip for a quick start or type your own brief. Sizokuqondisa ekusetheni okufushane.
Imuphi umsebenzi ofuna ukuwuxazulula?
A plain-language look at the “autonomous coworker” pattern on top of an LLM: the work loop, standing tasks, and how that differs from brittle, script-only automation. Explore connectable agent skills →
I-ejenti ye-AI iwuhlelo lwesofthiwe olusebenzisa imodeli yolimi enkulu (LLM) njengomongo wayo wokucabanga. Igcina umongo, ihlela, inqume, bese yenza isinyathelo ngesinyathelo kuze kube yilapho umsebenzi usuqediwe—ngaphandle kokusayina komuntu kukho konke ukunyakaza okuncane.
You can give an agent a long-running or standing goal (for example inbox monitoring or daily competitor pricing). It can return to that goal on a schedule, when an event fires, or in the background—within your policies and access controls.
Under the hood is a repeating observe → reason → act loop. That makes behavior more flexible than a hard-coded playbook: after each step the agent reassesses the situation.
Ithatha umgomo noma isignali: "hlola i-imeyili," "9:00 - hlanganisa umbiko," "isithembiso esisha sisanda kufika."
I-LLM yephula umgomo oyinkimbinkimbi ekulandeleni kwemisebenzi engaphansi ephathekayo ngaphakathi kwemikhawulo yakho.
Isebenzisa amathuluzi owavumelayo: isiphequluli, ama-API, i-imeyili, imibhalo, i-CRM—noma yini exhunywe kwikhithi yamathuluzi yomenzeli.
Iphikelela namaqiniso, izimo, namaphutha kusuka ekuqaliseni kwangaphambilini ukuze ingazuli kwimibuthano noma yehlise umongo.
A chat session answers a prompt and stops. An agent can run like a digital teammate on a 24/7 cadence—when you configure launch policy, guardrails, and limits that way.
The full Digio workspace combines marketing workflows with operator-grade controls: publish to social networks, queue and repeat tasks, version agent configuration, wire skills and models, chat with agents, and steer work from a dedicated task panel — on a visual board your team can share. Explore agent skills →
Dala futhi ushicilele okuthunyelwe kuma-akhawunti okuxhumana nomphakathi axhumene nemininingwane ebekwe nge-ejenti ngayinye nesiteshi.
Shejula ukugijima komjikelezo, kuhlehlisa ukwenza efasiteleni elithulile, noma misa isikhashana ukuze ugunyaze ngaphandle kokulahlekelwa umongo wochungechunge.
Gcina iziyalezo, ukufinyelela kwamathuluzi, kanye nemigqalisela ekucushweni okuphathekayo ithimba lakho lingahluka, libuyekeze, futhi libuyisele emuva njengekhodi yohlelo lokusebenza.
Namathisela izinqwaba zamandla asebenzisekayo kabusha - ukuhlanganiswa, izincwadi zokudlala, namaphethini enkumbulo - futhi uwashune ngomenzeli ngamunye.
Qondisa i-ejenti ngayinye ku-LLM efanele yomsebenzi — okusalungiswa okusheshayo kokuthathu, amamodeli asindayo okucabanga okujulile.
Izingxoxo ezinochungechunge ngomenzeli ngamunye onomlando ithimba lakho lingawuhlola, licaphune, futhi likhiphe phakathi kwamashifu.
Iphaneli eseceleni egxilile yokujula komugqa, isimo, amanothi, nezenzo ezilandelayo — ukuze opharetha babone ukuthi yini esebenzayo, yini evinjiwe, nokuthi yimiphi imikhumbi elandelayo.
Beka ama-ejenti, izifinyezo, kanye nempahla kukhanvasi — pan futhi usondeze njengemephu, shintsha ingemuva, nesimo sesithombe-skrini ukuze kubuyekezwe.
Abasebenzi bakho bokuqala be-AI - ama-agent wangempela, imisebenzi yangempela, imiphumela yangempela.
Indawo emnandi - amaqembu amaningi e-AI ashumekwe ekuhambeni kwakho komsebenzi kwansuku zonke.
Abasebenzi abagcwele be-AI - yakha yonke iminyango eduze kwamaqembu e-AI.
Lonke uhlelo lubandakanya ingqalasizinda ezinikele. Digio Tokens are used by your agents as they work across Sonnet and Opus. Gcwalisa noma nini uma iqembu lakho lidinga okwengeziwe.
Izimpendulo ezisheshayo mayelana nezinhlelo, i-Digio Tokens, nokuthi amaqembu e-AI asebenza kanjani e-Digio.
Konke okubhaliselwe kufaka ingqalasizinda yendawo yokusebenza ezinikele, inombolo emisiwe yamaqembu e-AI nama-ejenti, kanye nephuli yanyanga zonke ye-Digio Tokens yokusetshenziswa kwemodeli. Ungaqhathanisa osayizi beqembu futhi ufake i-Digio Tokens emakhadini ohlelo ngenhla.
Amathokheni e-Digio angamakhredithi angaphakathi komkhiqizo asetshenziswa abenzeli bakho lapho bebiza amamodeli eprimiyamu (isibonelo iSonnet noma i-Opus). Uma isibonelelo sanyanga zonke sehla, ungagcwalisa ukuze umsebenzi uqhubeke ugeleza ngaphandle kokushintsha uhlelo lwakho oluyisisekelo.
Yebo. Ungakwazi ukuya ohlelweni olukhudlwana lapho udinga amaqembu engeziwe, ama-ejenti, noma i-Digio Tokens, noma wehlise phansi uma ukusebenzisa kwakho kuzinza. Imithetho eqondile yokukhokha yezinguquko zamaphakathi nomjikelezo izoboniswa ku-akhawunti yakho uma ukuphuma kuxhunyiwe.
Ama-ejenti agcina umongo ezinyathelweni zonke, asebenzise amathuluzi owavumelayo (ama-API, i-imeyili, amasistimu angaphakathi), futhi angasebenza ngeshejuli noma lapho imicimbi yenzeka—hhayi kuphela lapho othile ethayipha ukwaziswa. Baseduze nozakwethu onomfushane kunewijethi ye-Q&A yesikhathi esisodwa.
I-Digio yakhelwe ngendlela yokuthi ikhasimende ngalinye lithole umngcele ozinikele wendawo yokusebenza: amaqembu akho, imisebenzi, nokusetshenziswa akuxutshanisiwe nezinye izinhlangano. Imininingwane yokusebenza kanye nezitifiketi kubhalwa phansi njengoba kukhishwa ekukhiqizweni.
Sihlela ukusekela amakhadi amakhulu kanye nezinketho zokukhokha zebhizinisi ezivamile ngomhlinzeki ojwayelekile ekuqaliseni. Kuze kube yilapho inkokhelo kufakwa izintambo kudemo, ungahlola izinhlelo nolwazi lomxhumanisi wangaphakathi kwesiphequluli ngaphandle kokufaka imininingwane yokukhokha.
Okubhaliselwe kwenyanga nenyanga ngaphandle uma ukhetha inketho yonyaka. Ungakhansela kuzilungiselelo ze-akhawunti; ukufinyelela kuhlala kuze kube sekupheleni kwesikhathi esikhokhelwe ngokuya ngenqubomgomo yokubuyiselwa kwemali nokukhansela eshicilelwe.
Ngemva kokubhalisa ufika endaweni yakho yokusebenza, khetha icebo uma ungakakwenzi, bese uhlangana nomxhumanisi ukuze akuchazele umsebenzi wakho wokuqala. Ukusuka lapho uqasha ama-ejenti, ugijime imibuzo yokugibela kudemo yokumaketha, bese uqala ukwabela umsebenzi ngebhodi lomsebenzi.