Mgbakwunye mmepụta
Nnyocha, ide ihe na ndị ọrụ na-elekọta mmadụ na-agba ọsọ n'otu oge - ndị nhazi na-edozi ibu n'ofe ndị otu gị.
Gbaa ụlọ ọrụ mmepụta ihe n'ime igwe ojii: ndị ọrụ AI na-enyocha isiokwu, akwụkwọ edemede na edemede, megharịa ha kwa ọwa, wee kwụ n'ahịrị mbipụta ọha - ka otu gị na-enyocha, ụdị, na ihe akpịrịkpa na-enweghị iwere ọnụ ụlọ juputara na ndị ode akwụkwọ.
Ugbo ọdịnaya · izu 6
Pipeline ngosi · nnyocha → draft → repurpose → bipụta
Mmepụta ihe atụ—olu dabere na atụmatụ, nyocha na niche.
Gbanwee site na nyocha gaa na kwụ n'ahịrị ọha na otu Digio stack-onye nhazi, mkparịta ụka ndị nnọchite anya, Ime, yana nkwado nkwado gị tupu ihe ọ bụla aga ndụ.
Ihe ndị na-emekọ ihe, ọrụ kwụ ọtọ, na imegharị chanel ọ bụla—ya mere olu anaghị adaba n'ime otu eri ozugbo.
Nnyocha, ide ihe na ndị ọrụ na-elekọta mmadụ na-agba ọsọ n'otu oge - ndị nhazi na-edozi ibu n'ofe ndị otu gị.
Priority queue for the next 50 drafts—standing tasks on To do, not lost in chat.
Otu ogidi na-aghọ LinkedIn, X, Reels scripts, na Telegram-ụdị ala maka netwọk ọ bụla.
Ugbo ọdịnaya abụghị otu windo nkata - ọ bụ ọkpọkọ. Digio na-enye nzọụkwụ ọ bụla onye nnọchi anya ọkachamara, ọrụ guzoro na Ime, yana mkparịta ụka otu maka nkenke ọtụtụ ma ọ bụ narị iberibe na-aga n'ihu n'otu aka ahụ.
Kọwaa niches, ụda, onyinye, na iwu nnabata na nkata otu. Onye nhazi ahụ na-agbaji atụmatụ kwa izu n'ime ọrụ guzoro ọtọ maka nyocha, ide ihe na ndị na-elekọta mmadụ.
Research agents pull trends and keywords. Each outline becomes a queued task on To do with priority.
Writer agents produce posts and scripts—iterate hooks in agent chats without spamming the team channel.
Ndị ọrụ na-emegharị ihe na-atụgharị otu edemede ka ọ bụrụ LinkedIn carousels, eriri X, scripts Reels, na ozi Telegram-otu ozi, usoro ala maka netwọk ọ bụla.
Editors approve in chat or on the board—collaboration roles for view-only clients and editor Run access.
Social agents schedule via integrations and skills—UTM links, hashtags, and checklists ready to post.
Kpọọ ndị ọrụ dịka ndị ọrụ. Gwakọta nka maka nchọ, nnomi, nnabata, na API ka ugbo ahụ wee nọrọ aka ruo mgbe ịchọrọ nbanye mmadụ.
Ụyọkọ isiokwu, akwụkwọ ndị asọmpi, na eziokwu njikere maka akwụkwọ edemede ọ bụla.
Ụdị ogologo, mkpirisi, na usoro email sitere na otu nkenke.
Na-ekewa otu akụrụngwa n'ime ụdị dị iche iche nke ikpo okwu yana nko A/B.
Ịhazi nnomi, nkọwa mbụ, kaadị njikọ, na ikesa ndenye nlele.
Kwuo ụda nche, ihe nkwuputa, na akwụkwọ ndenye ego amachibidoro tupu ebipụta ya.
Balances load across agents and Digio Tokens so the farm does not stall mid-week.
Niches dị elu nwere nzọụkwụ nyocha doro anya-tupu ị gbasaa mbipụta akpaaka ma ọ bụ ihe mmekọ.
Mgbakwunye
Onye ọrụ nyocha na-achọta akụkụ; akwụkwọ edemede edemede; eri na-ahụ maka ndị mmadụ kwụ n'ahịrị n'ahịrị n'ahịrị n'ahịrị na-enyocha oyiri ngosi.
B2B SaaS webụsaịtị UI akara. Tụgharịa asụsụ ka ọ bụrụ eke ig: Shorts
Ọrụ guzoro ọkụ script batches; onye nnọchi anya na-emegharị nko kwa algọridim n'elu ikpo okwu.
B2B SaaS webụsaịtị UI akara. Tụgharịa asụsụ ka ọ bụrụ eke ig: SEO
ụyọkọ 8-post site na otu nkenke-njikọ dị n'ime na meta nke onye odee depụtara, kwụ n'ahịrị na Ime site na mkpa.
Ụlọ ọrụ
Ndị otu Digio iche kwa ika; ndị ahịa na-elele naanị, ndị editọ Gbaa batches — ụgwọ kwa ọnwa maka olu.
Ozi ndị ọzọ na-emepụta mpaghara elu maka okporo ụzọ, ntụkwasị obi na onyinye. Ndị a bụ ụdị nkịtị ndị otu Digio na-agba ọsọ-na-agbaso iwu ikpo okwu mgbe niile, iwu mkpughe, yana ihe nrube isi nke niche gị.
Agents draft comparison posts and deal roundups; pause losers from To do priority.
Mkpirisi olu dị elu, script Reels, na akụkọ SEO ezubere na RPM/CPM — onye ọrụ nyocha na-achọta akụkụ; onye na-elekọta mmadụ na-edobe ọkwa bulite kwa ụbọchị.
eriri LinkedIn na X nke na-ebuga oku maka ụlọ ọrụ, ndị nkuzi, ma ọ bụ B2B SaaS—ugbo ọdịnaya na-enye webinars, ihe ndọta, na edemede DM.
Separate Digio teams per brand—collaboration roles for view-only clients.
Ozugbo iru eru na-eto, ndị ọrụ na-akwadebe ngwa mgbasa ozi yana ndebiri akwụkwọ nkwado; onye na-ahụ maka nnabata na-amanye #ad na okwu nkwupụta mpaghara.
Tụgharịa ọkwa kacha elu ka ọ bụrụ ebooks, ndebiri echiche, ma ọ bụ nkuzi — onye nnọchi anya onye na-ede akwụkwọ na-agbasawanye ndị mmeri; onye na-elekọta mmadụ na-agba usoro mmalite na eri akaebe.
Ihe njiri mara nke ugbo na-adabere kwa ụbọchị.
To do — priority queue for drafts on To do.
Chats — brief writers on agent chats.
Skills — publishing tools on agent skills.
Tokens — scale volume with Digio Tokens and plans.
Azịza ndị bara uru gbasara olu, ịdịmma na ndị na-agba ọsọ maka uto ọha mmadụ.
Ntọala ahaziri ahazi ebe ọtụtụ ndị ọrụ AI na-emepụta ma na-emegharị ọdịnaya na nhazi oge-nyocha, ide ihe, nhazigharị, na mbipụta ọha-ahaziri site na ọrụ, mkparịta ụka na mkparịta ụka otu kama ịmegharị otu oge.
Throughput depends on agents, Digio Tokens, and review depth. Teams often batch 10–50+ pieces per week per writer agent, then multiply via repurposing.
Netwọk na-eche banyere ịdịmma, spam, na mmebi iwu-ọ bụghị ngwá ọrụ naanị. Jiri ndị ndezi, gbanwee ụdịdị, kpughee ọdịnaya akwadoro, ma zere ọtụtụ posts oyiri. Digio na-enyere gị aka inyocha tupu ihe ọ bụla aga ndụ.
Maka ntụkwasị obi na nnabata, ee — ọkachasị na ego, ahụike na mgbasa ozi ahaziri. Ọtụtụ ugbo na-eji ndị nnọchite anya nke mbụ na mmadụ maka nnabata ikpeazụ, ma ọ bụ machibido ibipụta akpaaka na niche dị obere.
To do for queued work, agent chats for briefs, agent skills for tools, and collaboration for client teams.
Ee-jiri otu Digio dị iche iche maka ika ma ọ bụ niche ka ụda, onyinye, na ahịrị ọrụ nọrọ iche. Kpọọ ndị ahịa ka ha nwere ọrụ nlele naanị ma ọ bụrụ na ị na-ere ọhaneze ejirila dịka ọrụ.
Standing tasks fire draft runs automatically; connect integrations or export to your scheduler where direct posting is not enabled.
Mba-ugbo bụ usoro mmepụta ihe. Spam bụ ikwugharị ọnụ ahịa dị ala na-ezigaghị ndị na-ege ntị dabara. Ejiri ya mee ihe n'ụzọ ziri ezi, ndị ọrụ na-enyere gị aka ibipụta mgbe niile na niche ebe ị nwere nka ma ọ bụ ezigbo onyinye.
Nkà, ọrụ, ndebiri, na njikọta maka ọdịnaya n'ogo.
Jikọọ nkà, ọrụ, na mkparịta ụka — akụrụngwa dị n'azụ ọdịnaya dị elu yana uto ọha.
Mepụta oghere ọrụ, were obere ndị nnọchite anya ọrụ, wee tụgharịa ọrụ kwụ ọtọ ka ọ bụrụ mgbasa ozi na-adịgide adịgide maka ọwa mmekọrịta ị na-etolite.