01
Iyandikishe
Hitamo gahunda hanyuma ubone ako kanya aho ukorera AI.
Umwanya wawe wa AI
Murakaza neza kuri Digio!
Intambwe eshatu zoroshye mumatsinda yawe ya AI: kwiyandikisha, guha akazi abakozi, no kugenera imirimo. Bwira umuhuzabikorwa ibyo ukeneye - hanyuma shiraho itsinda mubibazo bike byihuse.
$5/agent
vs
$50/hr
AKAZI KIMWE · IGICIRO GITANDUKANYE
UKO BIKORA
Intambwe eshatu zoroshye kumurwi wawe wa AI
Kwiyandikisha, guha akazi itsinda ryawe, kugenera imirimo - kuva kumushahara wambere kugeza ishami rya AI ryuzuye.
02
Koresha Ikipe yawe
Wubake ishami rya AI kuri 10x munsi yikiguzi gakondo.
03
Shinga Inshingano
Bahe imirimo kandi urebe umusaruro wikipe yawe igwira.
Umuhuzabikorwa
Dore gahunda. Umuhuzabikorwa arashobora kugufasha guhitamo.
Umuhuzabikorwa
Hitamo ingano ikwiye kumurwi wawe
Gereranya gahunda mbere yo gukora konti. Buri gahunda ikubiyemo ibikorwa remezo byabigenewe, ibibanza bya AI, abakozi, na buri kwezi Digio Tokens.
Ikipe yawe
Sobanura icyo ushaka gukemura - koresha chip kugirango utangire vuba cyangwa wandike muri make. Tuzakuyobora binyuze mugihe gito.
Ni uwuhe murimo ushaka gukemura?
Ibyerekeye abakozi ba AI
Uburyo abakozi bakora - n'impamvu amakipe ayakira
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 →
Icyo umukozi wa AI aricyo
Umukozi wa AI ni sisitemu ya software ikoresha urugero runini rwururimi (LLM) nkibanze rwibitekerezo. Ikomeza imiterere, gahunda, ifata icyemezo, hanyuma ikora intambwe ku yindi kugeza akazi karangiye-nta muntu wasinyiye kuri buri kintu cyimuka.
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.
Umuzingi wibanze: guhuza n'imihindagurikire, ntabwo inyandiko yahagaritswe
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.
Tahura
Fata intego cyangwa ikimenyetso: “reba imeri,” “9h00 - kora raporo,” “icyemezo gishya cyageze.”
Tegura
LLM isenya intego igoye mukurikirana subtask zifatika mubibazo byawe.
Kora
Koresha ibikoresho wemera: mushakisha, APIs, imeri, inyandiko, CRM - ikintu cyose cyinjijwe mubikoresho byabakozi.
Ibuka
Komeza ibintu, statuts, namakosa kuva kwiruka mbere kugirango bidazunguruka cyangwa bizenguruka imiterere.
Imirimo ikomeje - nuburyo itandukanye no kuganira
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.
- Autonomy. With an instruction such as “watch competitor prices and refresh the sheet,” it decides when to kick off each cycle.
- Loops. It can keep checking a condition indefinitely—new Slack or Telegram messages, CI status, FX rates.
- Tools. Real integrations: CRM, databases, HTTP APIs, email—not only text inside a chat window.
- Failures. If a dependency is down, it doesn’t have to halt: retry, take a fallback path, or escalate to a person—per your rules.
Ingero zisubiramo abakozi bakora
- DevOps. Watches the repo: new release → tests → dependency checks → safe deploy on a green build.
- Marketing. Pulls competitor prices daily, normalizes fields, updates a spreadsheet or BI dashboard.
- Support. Triage inbound tickets in CRM, pulls customer history, drafts a suggested reply.
- Personal assistant. Each morning reviews calendar and email, surfaces deadlines, helps book meeting rooms.
AKAZI
Kuva ku mbuga nkoranyambaga kugeza kuri gahunda ziteganijwe
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 →
Gutangaza imibereho
Tegura kandi utangaze inyandiko kuri konte mbonezamubano hamwe nibyangombwa byapimwe kuri buri muyoboro.
Gusubiramo & gutinza imirimo
Teganya cycle ikora, isubize kurangiza idirishya rituje, cyangwa uhagarike kwemererwa udatakaje umurongo.
Idosiye iboneza
Komeza amabwiriza, ibikoresho byinjira, hamwe nuburinzi muburyo bworoshye ikipe yawe irashobora gutandukana, gusubiramo, no gusubira inyuma nka kode yo gusaba.
Isomero ry'ubuhanga
Ongeraho ubushobozi bushobora gukoreshwa - guhuza, ibitabo bikinirwaho, hamwe nuburyo bwo kwibuka - hanyuma ubihuze kuri buri agent.
Icyitegererezo kuri buri mukozi
Hindura buri agent kuri LLM iburyo kumurimo - umushinga wihuse wa triage, moderi iremereye kubitekerezo byimbitse.
Ibiganiro byabakozi bigenewe
Ibiganiro byibanze kuri buri agent hamwe namateka itsinda ryanyu rirashobora kugenzura, gusubiramo, no gutanga hagati ya shift.
Idirishya ry'umuyobozi
Ikibanza cyibanze kumurongo wimbitse, imiterere, inoti, nibikorwa bikurikira - bityo abakoresha bareba ibiri gukora, ibibujijwe, nubwato bukurikira.
Ikibaho
Shyira abakozi, muri make, n'umutungo kuri canvas - isafuriya na zoom nk'ikarita, hindura imiterere, hamwe na snapshot leta kugirango bisubirwemo.
Igiciro
Sobanura uko byakabaye: Digio 5
Abakozi bawe ba mbere ba AI - abakozi nyabo, imirimo nyayo, ibisubizo nyabyo.
$29/mo
3
teams
5
abakozi
$20
Sobanura uko byakabaye:
Tokens
- Amakipe 3 yitangiye AI
- 5 abakozi ba AI
- 20 Digio Tokens / ukwezi
- Ibikorwa Remezo birimo
- Hejuru ya Digio Tokens igihe icyo aricyo cyose
Byamamare Byinshi
Sobanura uko byakabaye: Digio 15
Ahantu heza - amakipe menshi ya AI yashyizwe mubikorwa byawe bya buri munsi.
$89/mo
5
teams
15
abakozi
$80
Sobanura uko byakabaye:
Tokens
- Amakipe 5 yitangiye AI
- 15 abakozi ba AI
- 80 Digio Tokens / ukwezi
- Ibyiza birimo imikoreshereze mumurongo
- Yubatswe kubikorwa bikomeye
Sobanura uko byakabaye: Digio 30
Abakozi buzuye AI - kubaka amashami yose akikije amakipe ya AI.
$179/mo
10
teams
30
abakozi
$170
Sobanura uko byakabaye:
Tokens
- Amakipe 10 yitangiye AI
- 30 abakozi ba AI
- 170 Digio Tokens / ukwezi
- Ibikorwa remezo
- Inkunga yihariye
Buri gahunda ikubiyemo ibikorwa remezo byabigenewe. Digio Tokens ikoreshwa nabakozi bawe mugihe bakora hakurya ya Sonnet na Opus. Hejuru igihe icyo aricyo cyose niba ikipe yawe ikeneye byinshi.
Ibibazo
Ibibazo bisanzwe
Ibisubizo byihuse kubyerekeye gahunda, Digio Tokens, nuburyo amakipe ya AI akora muri Digio.
Niki gikubiye muri buri gahunda ya Digio?
Buri kwiyandikisha birimo ibikorwa remezo byabigenewe, umubare wamakipe ya AI hamwe nabakozi, hamwe na pisine ya buri kwezi ya Digio Tokens kugirango ikoreshwe icyitegererezo. Urashobora kugereranya ingano yikipe hanyuma ugashyiramo Digio Tokens kumarita ya gahunda hejuru.
Digio Tokens ni iki kandi zikoreshwa gute?
Digio Tokens ni mubicuruzwa byinguzanyo abakozi bawe bakoresha mugihe bahamagaye moderi nziza (urugero Sonnet cyangwa Opus). Iyo amafaranga ya buri kwezi akora make, urashobora hejuru kugirango akazi gakomeze kugenda udahinduye gahunda yawe shingiro.
Nshobora kuzamura cyangwa kumanura gahunda yanjye nyuma?
Yego. Urashobora kwimukira kuri gahunda nini mugihe ukeneye amakipe menshi, abakozi, cyangwa ushizemo Digio Tokens, cyangwa igipimo hasi niba imikoreshereze yawe ihagaze. Amategeko nyayo yo kwishyuza impinduka zo hagati zizerekanwa kuri konte yawe mugihe cheque ihujwe.
Nigute umukozi wa AI atandukanye na chatbot isanzwe?
Abakozi bagumana imiterere murwego, koresha ibikoresho wemera (APIs, imeri, sisitemu y'imbere), kandi birashobora gukora kuri gahunda cyangwa mugihe ibyabaye bibaye - atari mugihe umuntu yanditse ikibazo. Baregereye mugenzi wawe hamwe mugihe gito kuruta icyerekezo kimwe cya Q&A widget.
Umwanya wanjye ukoreramo utandukanijwe nabandi bakiriya?
Digio yateguwe kuburyo buri mukiriya abona imbibi zumurimo wabigenewe: amakipe yawe, imirimo, hamwe nikoreshwa ntabwo bivanze nandi mashyirahamwe. Ibisobanuro birambuye hamwe nimpamyabushobozi byanditse uko bigenda byinjira.
Ni ubuhe buryo bwo kwishyura uzashyigikira?
Turateganya gushyigikira amakarita akomeye hamwe nuburyo bwo kwishyura mubucuruzi binyuze mubitanga bisanzwe mugutangiza. Kugeza igihe fagitire yatanzwe muri demo, urashobora gushakisha gahunda hamwe nuburambe bwumuhuzabikorwa wa enterineti utarinze kwishura amakuru.
Nshobora guhagarika igihe cyose nshakiye?
Kwiyandikisha ni ukwezi-ukwezi keretse uhisemo buri mwaka. Urashobora guhagarika igenamiterere rya konti; kwinjira bikomeza kurangira igihe cyishyuwe ukurikije politiki yo gusubizwa no guhagarika.
Bigenda bite nyuma yo gukora konti?
Nyuma yo kwiyandikisha ugwa mumurimo wawe, hitamo gahunda niba utarayifite, hanyuma uhure numuhuzabikorwa kugirango asobanure umurimo wawe wambere. Kuva aho, ukoresha abakozi, koresha ikizamini cyo kumurongo kuri demo yo kwamamaza, hanyuma utangire gutanga akazi ukoresheje akanama gashinzwe.