{"id":8584,"date":"2026-04-13T17:23:17","date_gmt":"2026-04-13T15:23:17","guid":{"rendered":"https:\/\/igloonet.cz\/blog\/?p=8584"},"modified":"2026-04-14T09:55:52","modified_gmt":"2026-04-14T07:55:52","slug":"alerting-nad-daty-a-jejich-verifikace-pro-ai-agenty","status":"publish","type":"post","link":"https:\/\/igloonet.cz\/blog\/alerting-nad-daty-a-jejich-verifikace-pro-ai-agenty\/","title":{"rendered":"Alerting nad daty a jejich verifikace pro AI agenty"},"content":{"rendered":"
<\/div>\n

Ve \u010dtvrtek 9. 4. se uskute\u010dnil n\u00e1\u0161 jubilejn\u00ed 10. tu\u010d\u0148\u00e1\u010d\u00ed webin\u00e1\u0159. Adam<\/a> s Michaelou<\/a> se v\u011bnovali t\u00e9matu alertingu \u2014 oblasti, kter\u00e1 byla v\u017edy aktu\u00e1ln\u00ed a zaj\u00edmav\u00e1, ale s rychl\u00fdm n\u00e1stupem AI agent\u016f nab\u00fdv\u00e1 je\u0161t\u011b v\u011bt\u0161\u00ed d\u016fle\u017eitosti. A\u0165 u\u017e s AI agenty experimentujete, nebo je zat\u00edm sledujete jen z povzd\u00e1l\u00ed, nep\u0159est\u00e1vejte \u010d\u00edst. M\u016f\u017eete tak u\u0161et\u0159it spoustu pen\u011bz, \u010dasu a nerv\u016f. Dozv\u00edte se nap\u0159\u00edklad, co alerting vlastn\u011b je a jak se li\u0161\u00ed od dashboard\u016f, pro\u010d je d\u016fle\u017eit\u00fd p\u0159i nasazov\u00e1n\u00ed AI agent\u016f \u010di jak\u00e1 technologick\u00e1 magie se skr\u00fdv\u00e1 na pozad\u00ed.<\/p>\n

<\/p>\n

Pot\u0159ebujeme alerting? Nesta\u010d\u00ed dashboard?<\/h2>\n

Co je vlastn\u011b alerting? Jak u\u017e samotn\u00fd n\u00e1zev napov\u00edd\u00e1, jedn\u00e1 se o upozorn\u011bn\u00ed \u2014 sign\u00e1l, kter\u00fd, m\u00e1 upoutat na\u0161i pozornost. Kdy\u017e p\u0159ijde alert, m\u011bli bychom zbyst\u0159it, proto\u017ee se stalo n\u011bco, co je pot\u0159eba \u0159e\u0161it.<\/p>\n

Alerty m\u016f\u017eeme rozd\u011blit do n\u011bkolika kategori\u00ed. Syst\u00e9mov\u00e9<\/b> upozor\u0148uj\u00ed na chybu v datech nebo na spadl\u00fd konektor. Webov\u00e9<\/b> zase na v\u00fdpadek m\u011b\u0159en\u00ed, \u0161patn\u011b se spou\u0161t\u011bj\u00edc\u00ed GTM nebo JavaScript errory. Tomuto technick\u00e9mu alertingu se v \u010dl\u00e1nku d\u00e1le nev\u011bnujeme, ale je t\u0159eba zm\u00ednit, \u017ee tvo\u0159\u00ed z\u00e1klad cel\u00e9ho procesu. Pokud nem\u00e1me data v po\u0159\u00e1dku u\u017e na vstupu, jak\u00fdkoliv dal\u0161\u00ed datov\u00fd alerting je bezp\u0159edm\u011btn\u00fd.<\/p>\n

V tomto \u010dl\u00e1nku se zam\u011b\u0159\u00edme na alerty datov\u00e9 \u2014 data u\u017e m\u00e1me, jsou v po\u0159\u00e1dku a my chceme b\u00fdt upozorn\u011bni na odchylky, probl\u00e9my, ale i na p\u0159\u00edle\u017eitosti, kter\u00fdch bychom si p\u0159i b\u011b\u017en\u00e9m proch\u00e1zen\u00ed dashboardu nemuseli v\u0161imnout.<\/p>\n

Uk\u00e1\u017eeme si to na p\u0159\u00edkladu:<\/strong><\/p>\n

P\u0159edstavte si, \u017ee jste PPC specialista, kter\u00fd spravuje des\u00edtky \u010di stovky kampan\u00ed nap\u0159\u00ed\u010d n\u011bkolika trhy. Va\u0161e workflow vypad\u00e1 tak, \u017ee p\u0159ijdete do pr\u00e1ce, otev\u0159ete si obrovsk\u00fd dashboard se v\u0161emi kampan\u011bmi a za\u010dnete zkoumat, co by \u0161lo vylep\u0161it, co vypnout, nebo naopak pos\u00edlit. Jen\u017ee mno\u017estv\u00ed kampan\u00ed a metrik je tak objemn\u00e9, \u017ee doch\u00e1z\u00ed k tzv. information overloadu \u2014 jste zavalen\u00ed informacemi natolik, \u017ee nev\u00edte, jak se spr\u00e1vn\u011b rozhodnout. Pracujete pomalu, neefektivn\u011b a nem\u00e1te \u010das na rozvojov\u00e9 v\u011bci, proto\u017ee v\u00e1m tento pr\u016fzkum \u201e\u017eere\u201c v\u011bt\u0161inu pracovn\u00edho dne.<\/p>\n

A pr\u00e1v\u011b tady p\u0159ich\u00e1z\u00ed na \u0159adu alerting \u2014 m\u00edsto toho, abyste r\u00e1no proch\u00e1zeli obrovsk\u00fd dashboard, pod\u00edv\u00e1te se do mailu, Slacku, Asany \u010di jin\u00e9ho syst\u00e9mu. Tam na v\u00e1s bude \u010dekat zpr\u00e1va s kampan\u011bmi, kter\u00e9 si skute\u010dn\u011b zaslou\u017e\u00ed pozornost.<\/p>\n

\"P\u0159\u00edklad<\/a>

P\u0159\u00edklad toho, jak m\u016f\u017ee vypadat notifika\u010dn\u00ed e-mail<\/p><\/div>\n

Jako specialista ihned v\u00edte, co je t\u0159eba \u0159e\u0161it. Syst\u00e9m za v\u00e1s toti\u017e ud\u011bl\u00e1 tu nudnou a monot\u00f3nn\u00ed pr\u00e1ci a vy m\u016f\u017eete \u010das v\u011bnovat p\u0159\u00edmo konkr\u00e9tn\u00edmu probl\u00e9mu. A ano, v tuto chv\u00edli se u\u017e m\u016f\u017eete pod\u00edvat do dashboardu, kde m\u00e1te v\u0161echna pot\u0159ebn\u00e1 data \u2014 u\u017e se ale nebudete prob\u00edrat stovkami kampan\u00ed, zam\u011b\u0159\u00edte se na omezen\u00fd vzorek, kter\u00fd skute\u010dn\u011b vy\u017eaduje \u0159e\u0161en\u00ed.<\/p>\n

Nemus\u00edme se ale dr\u017eet pouze kampan\u00ed a specialist\u016f. M\u016f\u017eeme j\u00edt v granularit\u011b i sm\u011brem nahoru a takov\u00fd alert pos\u00edlat vedouc\u00edm t\u00fdm\u016f, C-levelu \u010di p\u0159\u00edmo majitel\u016fm \u2014 samoz\u0159ejm\u011b s ni\u017e\u0161\u00ed frekvenc\u00ed a vy\u0161\u0161\u00ed m\u00edrou agregace, aby jim p\u0159i rozhodov\u00e1n\u00ed d\u00e1val smysl.<\/p>\n

Z hlediska formy m\u00e1me velk\u00fd prostor pro p\u0159izp\u016fsoben\u00ed. Alertovat m\u016f\u017eeme prakticky cokoliv a jakkoliv. Alerty je mo\u017en\u00e9 segmentovat \u2014 ka\u017ed\u00e9mu odd\u011blen\u00ed chod\u00ed jin\u00e9 upozorn\u011bn\u00ed, v jin\u00e9 form\u011b a podle jin\u00fdch pravidel. Dokonce je mo\u017en\u00e9, aby ka\u017ed\u00e9mu jednotliv\u00e9mu zam\u011bstnanci chodily jin\u00e9 alerty v odli\u0161n\u00e9 frekvenci - podle jeho role a pot\u0159eb.<\/p>\n

Dal\u0161\u00ed v\u00fdhodou alertingu jsou dynamick\u00e9 thresholdy. V dashboardech je zpravidla nastaveno podm\u00edn\u011bn\u00e9 form\u00e1tov\u00e1n\u00ed ve stylu: \u201eKdy\u017e kampani klesne ROAS pod hodnotu X, z\u010derven\u00e1 \u0159\u00e1dek.\u201c <\/i>S pomoc\u00ed alertingu a p\u0159\u00edstupu k cel\u00e9mu datov\u00e9mu skladu dok\u00e1\u017eeme tyto hodnoty modelovat dynamicky \u2014 a\u0165 u\u017e sofistikovan\u011b (nap\u0159. pomoc\u00ed statick\u00fdch model\u016f), nebo jednodu\u0161e (nap\u0159. p\u0159es klouzav\u00e9 pr\u016fm\u011bry).<\/p>\n

\ud83d\udca1Nezapome\u0148te na efektivn\u00ed nastaven\u00ed thresholdu \u2013 nechcete aby v\u00e1m vysko\u010dila zm\u011bna u kampan\u011b, kter\u00e1 p\u0159inesla dv\u011b konverze oproti \u010dty\u0159em z p\u0159edchoz\u00edho dne. Takov\u00e9 kampan\u011b tu v\u017edy budou, ale nen\u00ed nutn\u00e9, aby n\u00e1m kv\u016fli nim chodil a\u0165 u\u017e pozitivn\u00ed, tak negativn\u00ed alerting.<\/p><\/blockquote>\n

I kdy\u017e jsou dynamick\u00e9 hodnoty super v\u011bc a p\u0159in\u00e1\u0161ej\u00ed velkou p\u0159idanou hodnotu, nem\u011bli bychom zanev\u0159\u00edt ani na hodnoty statick\u00e9. Ty se hod\u00ed v p\u0159\u00edpad\u011b, \u017ee m\u00e1me pevn\u011b stanov\u00e9 budgety a dan\u00e1 kampa\u0148 nebo kampan\u011b celkov\u011b nesm\u00ed za \u017e\u00e1dn\u00fdch okolnost\u00ed utratit v\u00edce, nebo v p\u0159\u00edpad\u011b, \u017ee m\u00e1me z povahy na\u0161eho businessu omezenou kapacitu a p\u0159i velmi \u00fasp\u011b\u0161n\u00e9 kampani by hrozilo, \u017ee nedok\u00e1\u017eeme uspokojit popt\u00e1vku. Takovou situaci si m\u016f\u017eeme uk\u00e1zat na s\u00edti kade\u0159nictv\u00ed, kter\u00e1 m\u00e1 ze sv\u00e9 podstaty omezenou kapacitu. Pokud by byla propagace a\u017e moc \u00fasp\u011b\u0161n\u00e1, mohlo by n\u00e1m to u\u0161kodit \u2013 del\u0161\u00ed \u010dekac\u00ed doby by se mohly projevit negativn\u011b na na\u0161\u00ed reputaci nehled\u011b na to, \u017ee i kdy\u017e by reklama oslovila potenci\u00e1ln\u00ed z\u00e1kazn\u00edky, tak by si i kv\u016fli t\u011bmto dob\u00e1m term\u00edn nerezervovali, co\u017e by se negativn\u011b podepsalo na v\u00fdsledc\u00edch kampan\u011b.<\/p>\n

Dal\u0161\u00ed p\u0159\u00edklad, kdy v\u00e1m alerting m\u016f\u017ee zachr\u00e1nit nejen spoustu pen\u011bz, ale i reputaci, uvedli Adam s Michaelou na webin\u00e1\u0159i. Jste e-shop, kter\u00fd prod\u00e1v\u00e1 tenisky. Z ni\u010deho nic se va\u0161e prodeje zn\u00e1sob\u00ed, ale z\u00e1hadn\u00fdm zp\u016fsobem v\u00e1m klesne revenue, p\u0159esto\u017ee registrujete rekordn\u00ed objedn\u00e1vky. V tu chv\u00edli by se v\u00e1m m\u011bly rozezn\u00edt v\u0161echny nastaven\u00e9 alerty, m\u011bly by p\u0159ij\u00edt SMS s maxim\u00e1ln\u00ed prioritou. Co se ale stalo ve skute\u010dnosti? Trvalo p\u00e1r dn\u00ed, ne\u017e se na probl\u00e9m p\u0159i\u0161lo a ztr\u00e1ty u\u017e byly na sv\u011bt\u011b.<\/p>\n

Alerting v kontextu AI agent\u016f<\/h2>\n

N\u011bkte\u0159\u00ed z v\u00e1s si mo\u017en\u00e1 \u0159\u00edkaj\u00ed, \u017ee tohle maj\u00ed vy\u0159e\u0161en\u00e9, proto\u017ee p\u0159esn\u011b to, co jsem popsal v\u00fd\u0161e, jim u\u017e te\u010f d\u011bl\u00e1 AI agent automaticky. A je to validn\u00ed argument. Je ale pot\u0159eba si uv\u011bdomit, jak tito AI agenti funguj\u00ed a \u017ee i dnes je nutn\u00e9 jejich v\u00fdstupy a doporu\u010den\u00ed validovat.<\/p>\n

Alerting je ryze deterministick\u00e1 v\u011bc. Pracuje s jasn\u011b definovan\u00fdm k\u00f3dem a pravidly, d\u00edky \u010demu\u017e poskytuje konzistentn\u00ed a p\u0159edv\u00eddateln\u00e9 v\u00fdstupy. Oproti tomu AI agent deterministick\u00fd nen\u00ed \u2014 st\u00e1le funguje na principu pravd\u011bpodobnosti. I kdy\u017e se AI za posledn\u00ed m\u011bs\u00edce a roky posunulo a st\u00e1le se posouv\u00e1 raketovou rychlost\u00ed, princip na pozad\u00ed z\u016fst\u00e1v\u00e1 stejn\u00fd. V\u00fdstupy nemus\u00ed b\u00fdt konzistentn\u00ed, agent m\u016f\u017ee halucinovat a ztr\u00e1cet kontext.<\/p>\n

\"Adam<\/a>

Adam a Michaela v rozprav\u011b nad alertingem<\/p><\/div>\n

Pr\u00e1v\u011b kontext je dal\u0161\u00ed bol\u00edstkou AI agent\u016f. Pokud m\u00e1me stovky kampan\u00ed s des\u00edtkami metrik, pustit na takov\u00fd dataset AI agenta bude drah\u00e9 a neefektivn\u00ed. Samotn\u00fd akt alertu \u2014 p\u0159ijde n\u00e1m notifikace \u2014 je a\u017e posledn\u00edm krokem, kter\u00e9mu mus\u00ed p\u0159edch\u00e1zet v\u00fdb\u011br dat. Agenta pot\u00e9 nenapojujeme na cel\u00fd dataset, ale pouze na v\u00fdb\u011br, kter\u00fd jsme u\u010dinili ryze deterministicky. T\u00edm mu v\u00fdrazn\u011b sn\u00ed\u017e\u00edme pot\u0159ebn\u00fd kontext, u\u0161et\u0159\u00edme pen\u00edze a budeme m\u00edt jistotu, \u017ee pracuje pouze nad kampan\u011bmi, kter\u00e9 to pot\u0159ebuj\u00ed.<\/p>\n

Probl\u00e9m kontextu je obzvl\u00e1\u0161\u0165 zn\u00e1t, pokud m\u00e1te datov\u00fd sklad, kter\u00fd nen\u00ed na AI agenty p\u0159ipraven\u00fd. M\u00e1m na mysli p\u0159edev\u0161\u00edm kvalitn\u011b zpracovanou s\u00e9mantickou vrstvu, kter\u00e1 je pro spr\u00e1vn\u00e9 fungov\u00e1n\u00ed AI agent\u016f naprosto nezbytn\u00e1. Pokud takovou vrstvu nem\u00e1me, m\u016f\u017eeme si pomoci p\u0159edpo\u010d\u00edtan\u00fdmi tabulkami, ze kter\u00fdch bude \u010derpat jak alerting, tak AI agenti.<\/p>\n

A nakonec samotn\u00e1 validace. Pokud AI agenty nasazujete, mus\u00edte si ov\u011b\u0159it, \u017ee v\u00e1m nel\u017eou a nehalucinuj\u00ed. Vybral agent spr\u00e1vn\u00e9 kampan\u011b? Spo\u010d\u00edtal spr\u00e1vn\u011b ROAS? Neunik\u00e1 mu, jak p\u0159istoupit k YoY porovn\u00e1n\u00ed? V\u00fdstupy z alertingu pak m\u016f\u017eete porovn\u00e1vat s v\u00fdstupy AI agenta a jednodu\u0161e zjistit, zda se n\u011bkde neplete.<\/p>\n

Pokud byste si z cel\u00e9ho \u010dl\u00e1nku m\u011bli odn\u00e9st jednu v\u011bc, tak to, \u017ee alerting je pevn\u011b dan\u00e1 deterministick\u00e1 pojistka k n\u011b\u010demu, co m\u016f\u017ee b\u00fdt nest\u00e1l\u00e9.<\/p>\n

Detekce anom\u00e1li\u00ed<\/h2>\n

Alerting je pot\u0159ebn\u00e1 a u\u017eite\u010dn\u00e1 v\u011bc, jej\u00ed\u017e v\u00fdhodou je striktn\u00ed dodr\u017eov\u00e1n\u00ed nastaven\u00fdch pravidel. Co se ale m\u016f\u017ee jevit jako jasn\u00e1 v\u00fdhoda, je z\u00e1rove\u0148 i nev\u00fdhodou. P\u0159\u00edpady nebo situace, kter\u00e9 nejsou definovan\u00e9 na\u0161imi pravidly, n\u00e1m mohou uniknout. Abychom tomu zabr\u00e1nili, pou\u017e\u00edv\u00e1me n\u011bco, \u010demu \u0159\u00edk\u00e1me detekce anom\u00e1li\u00ed<\/b>.<\/p>\n

Ta se narozd\u00edl od alertingu ne\u0159\u00edd\u00ed pevn\u011b dan\u00fdmi pravidly (nap\u0159. sledov\u00e1n\u00ed v\u00fdvoje ROAS v sedmidenn\u00edm klouzav\u00e9m pr\u016fm\u011bru), ale detekuje jakoukoliv anom\u00e1lii v datech, kter\u00e1 se odli\u0161uje od b\u011b\u017en\u00e9ho chov\u00e1n\u00ed.<\/p>\n

Pro tuto detekci m\u016f\u017eeme v z\u00e1kladu vyu\u017e\u00edt BigQuery ML<\/b>, kter\u00fd je nejjednodu\u0161\u0161\u00ed volbou, pokud vyu\u017e\u00edv\u00e1me Google stack \u2014 co\u017e ve v\u011bt\u0161in\u011b p\u0159\u00edpad\u016f, i s ohledem na pot\u0159ebu BigQuery, d\u011bl\u00e1me. M\u016f\u017eeme ale s\u00e1hnout i po specializovan\u00fdch algoritmech, jako jsou Prophet, Silverkite, Isolation Forest \u010di statistick\u00fd model SARIMA.<\/p>\n

Velkou v\u00fdhodou pokro\u010dil\u00fdch model\u016f je jejich pr\u00e1ce se sez\u00f3nnost\u00ed. P\u0159i pevn\u011b nastaven\u00e9m alertingu n\u00e1m syst\u00e9m za\u010dne \u201e\u0161\u00edlet\u201c, jakmile nastartuje sez\u00f3na \u2014 a to i v p\u0159\u00edpad\u011b, \u017ee pou\u017e\u00edv\u00e1me dynamick\u00e9 hodnoty. Stejn\u00e1 situace pak nastane i po konci sez\u00f3ny. Algoritmy naopak dok\u00e1\u017e\u00ed tyto v\u00fdkyvy zohlednit, proto\u017ee vid\u00ed souvislosti nap\u0159\u00ed\u010d historick\u00fdmi daty.<\/p>\n

Pokro\u010dil\u00e9 modely ale maj\u00ed i sv\u00e1 \u00faskal\u00ed, a to fale\u0161n\u011b pozitivn\u00ed sign\u00e1ly<\/b>. Doporu\u010dujeme proto postupn\u00e9 nasazov\u00e1n\u00ed, p\u0159i kter\u00e9m se odlad\u00ed v\u011bci, kter\u00e9 jsou sice z pohledu modelu anom\u00e1lie, ale n\u00e1s jako specialisty nezaj\u00edmaj\u00ed \u2014 po\u010d\u00edt\u00e1me s nimi a nepot\u0159ebujeme, aby n\u00e1m k nim chodily alerty. Rovn\u011b\u017e je vhodn\u00e9 rozli\u0161it kan\u00e1ly podle kriti\u010dnosti \u2014 m\u00e1lo prioritn\u00ed z\u00e1le\u017eitosti mohou b\u00fdt ulo\u017eeny v souboru bez notifikac\u00ed, ke st\u0159edn\u011b d\u016fle\u017eit\u00fdm p\u0159ijde e-mail a u vysoce nestandardn\u00edch a kritick\u00fdch anom\u00e1li\u00ed doraz\u00ed SMS.<\/p>\n

A posledn\u00ed doporu\u010den\u00ed: nebojte se pou\u017e\u00edvat v\u00edce algoritm\u016f z\u00e1rove\u0148. Mohou se vz\u00e1jemn\u011b kontrolovat a ov\u011b\u0159it, zda se opravdu jedn\u00e1 o anom\u00e1lii, je\u0161t\u011b p\u0159edt\u00edm, ne\u017e se informace dostane ke koncov\u00e9mu u\u017eivateli.<\/p>\n

Technologick\u00e9 ok\u00e9nko<\/h2>\n

V r\u00e1mci webin\u00e1\u0159e projevili n\u011bkte\u0159\u00ed \u00fa\u010dastn\u00edci z\u00e1jem o technologickou \u010d\u00e1st alertingu, proto si n\u00ed\u017ee pop\u00ed\u0161eme, jak takov\u00e9 workflow m\u016f\u017ee vypadat.<\/p>\n

\"Zjednodu\u0161en\u00e9<\/a>

Zjednodu\u0161en\u00e9 schematick\u00e9 zobrazen\u00ed mo\u017en\u00e9 workflow<\/p><\/div>\n

Na vstupu pot\u0159ebujeme samoz\u0159ejm\u011b data. V tomto p\u0159\u00edpad\u011b budeme pracovat s daty z GA4, Google Ads a Meta Ads, kter\u00e1 se n\u00e1m skrze konektory nahr\u00e1vaj\u00ed do BigQuery. Jakmile m\u00e1me data kompletn\u00ed (nap\u0159. za p\u0159edchoz\u00ed den), Pub\/Sub spust\u00ed Dataform (p\u0159\u00edpadn\u011b dbt), kde prob\u00edh\u00e1 ve\u0161ker\u00e1 modelovac\u00ed magie.<\/p>\n

Zpracovan\u00e1 data ulo\u017e\u00edme zp\u011bt do BigQuery, p\u0159\u00edpadn\u011b do Google Cloud Storage. Na BigQuery m\u00e1me zpravidla napojen\u00e9 dashboardy, k soubor\u016fm v Google Cloud Storage pak p\u0159istupuje AI agent. Jakmile jsou ob\u011b slu\u017eby napln\u011bny, Pub\/Sub tuto informaci zaregistruje a ode\u0161le alerty do c\u00edlov\u00fdch syst\u00e9m\u016f.<\/p>\n

Pub\/Sub hraje v cel\u00e9 workflow nezastupitelnou roli, proto\u017ee orchestruje operace pouze nad kompletn\u00edmi daty<\/b>. Teoreticky by ho \u0161lo nahradit cron jobem, kter\u00fd se spust\u00ed pravideln\u011b v 7:00, ale mohlo by se st\u00e1t, \u017ee v tu dobu je\u0161t\u011b nebudou data kompletn\u00ed. A kompletn\u00ed data jsou podm\u00ednkou pro to, aby datov\u00fd alerting fungoval spr\u00e1vn\u011b.<\/p>\n

Je t\u0159eba dodat, \u017ee se jedn\u00e1 pouze o zjednodu\u0161en\u00fd p\u0159\u00edklad. U klient\u016f, kde \u0159e\u0161\u00edme AI agenty a alerting, se konkr\u00e9tn\u00ed podoba li\u0161\u00ed v z\u00e1vislosti na jejich pot\u0159eb\u00e1ch a n\u00e1stroj\u00edch. I zapojen\u00ed AI agenta je mo\u017en\u00e9 ud\u011blat v\u00edce zp\u016fsoby \u2014 m\u016f\u017ee p\u0159istupovat ke strukturovan\u00fdm dat\u016fm v GCS (jako ve sch\u00e9matu), data lze odes\u00edlat na klient\u016fv on-prem server nebo m\u016f\u017ee agent p\u0159istupovat k dat\u016fm pomoc\u00ed MCP.<\/p>\n

D\u016fle\u017eit\u00fd je individu\u00e1ln\u00ed p\u0159\u00edstup, co\u017e zmi\u0148oval i Adam na webin\u00e1\u0159i \u2014 jedno univerz\u00e1ln\u00ed \u0159e\u0161en\u00ed, kter\u00e9 by sed\u011blo ka\u017ed\u00e9mu, neexistuje.<\/p>\n

Jak s alertingem za\u010d\u00edt?<\/h2>\n

Popsali jsme si, co alerting je, pro\u010d bychom ho cht\u011bli m\u00edt a v \u010dem n\u00e1m m\u016f\u017ee pomoci. Jak s n\u00edm ale za\u010d\u00edt, ani\u017e bychom ihned budovali monstr\u00f3zn\u00ed syst\u00e9m?<\/p>\n

Prvn\u00ed, co bych doporu\u010dil, je zamyslet se nad t\u00edm, jak\u00e9 informace pot\u0159ebujete. Prob\u00edh\u00e1 v\u00e1\u0161 pracovn\u00ed den tak, jak jsem popsal na za\u010d\u00e1tku \u010dl\u00e1nku? Jak\u00e9 sign\u00e1ly v\u00e1m pom\u00e1haj\u00ed k tomu, abyste se rozhodli, co s kampan\u00ed ud\u011blat? Podle jak\u00fdch indik\u00e1tor\u016f pozn\u00e1te, zda je kampa\u0148 \u00fasp\u011b\u0161n\u00e1? A pokud jste C-level, jak\u00e9 informace a v jak\u00e9 frekvenci v\u00e1s zaj\u00edmaj\u00ed? Chyst\u00e1 v\u00e1m je n\u011bjak\u00fd zam\u011bstnanec, kter\u00fd tomu v\u011bnuje jednotky \u010di des\u00edtky hodin? Ne\u0161lo by to automatizovat?<\/p>\n

Pot\u0159eby mus\u00ed b\u00fdt jasn\u011b definovan\u00e9, ale nesm\u00ed jich b\u00fdt p\u0159\u00edli\u0161 mnoho. D\u016fvod je prost\u00fd \u2014 chceme se vyvarovat false positive sign\u00e1l\u016f. Pokud n\u00e1m ka\u017ed\u00fd den chod\u00ed e-mail s potenci\u00e1ln\u011b probl\u00e9mov\u00fdmi kampan\u011bmi a my poka\u017ed\u00e9 zjist\u00edme, \u017ee je vlastn\u011b v\u0161echno v po\u0159\u00e1dku, za\u010dneme ho \u010dasem ignorovat. \u00danava z alert\u016f (alert fatigue) je hodn\u011b diskutovan\u00e9 t\u00e9ma, a proto bychom j\u00ed m\u011bli p\u0159edch\u00e1zet. Alertovat chceme jen to, kde je opravdu probl\u00e9m.<\/p>\n

Jakmile m\u00e1te pot\u0159eby sepsan\u00e9, m\u00e1te v podstat\u011b sadu pravidel, kterou je pak nutn\u00e9 implementovat do syst\u00e9mu podobn\u00e9mu tomu ve sch\u00e9matu v\u00fd\u0161e \u2014 s \u010d\u00edm\u017e v\u00e1m velmi r\u00e1di pom\u016f\u017eeme.<\/p>\n","protected":false},"excerpt":{"rendered":"

Ve \u010dtvrtek 9. 4. se uskute\u010dnil n\u00e1\u0161 jubilejn\u00ed 10. tu\u010d\u0148\u00e1\u010d\u00ed webin\u00e1\u0159. Adam s Michaelou se v\u011bnovali t\u00e9matu alertingu \u2014 oblasti, kter\u00e1 byla v\u017edy aktu\u00e1ln\u00ed a zaj\u00edmav\u00e1, ale s rychl\u00fdm n\u00e1stupem AI agent\u016f nab\u00fdv\u00e1 je\u0161t\u011b v\u011bt\u0161\u00ed d\u016fle\u017eitosti. A\u0165 u\u017e s AI agenty experimentujete, nebo je zat\u00edm sledujete jen z povzd\u00e1l\u00ed, nep\u0159est\u00e1vejte \u010d\u00edst. M\u016f\u017eete tak u\u0161et\u0159it spoustu pen\u011bz, \u010dasu a nerv\u016f. 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