Turning product data into user understanding, without the hallucinations.

Problem

I'veseenthispatternacrossalotofproductteams.Theydotheresearch,buttherestoftheteamendsupignoringtheresults.Notbecausetheydon'twanttouseit,butbecausetheycan'tevenconnectwhattheyfoundwiththedecisionsinfrontofthem.ThepersonaendsupinaFigmafileoraPPT.TheinterviewtranscriptsliveinaNotiondocthatnoteventhepersonwhodidtheinterviewgoesbacktorevisit.

Irealizedthegapwasn'teffort,itwashowthatdatareachedtheteam.SoIbuiltResense:tohelpproductteamsgetvaluefromwhattheyalreadyhad,withoutneedingaspecialisttointerpretitorspendinghoursonapersonaartifactthatendsupinthebottomdrawer.

The AI stack

ThegenerationpipelinemapsrawproductdatathroughJTBDandanti-optimismguardrails,structuringitintoSyntheticUsersviaOpenRouterwithClaudeSonnetinproductionandGeminiFlashindevelopment.Ifoundthetwo-modelstrategythroughtesting:deviterationneededspeed,productionneededreasoningqualityforcomplexsynthesis.Theyservedifferentjobs.

RAG-poweredevaluationretrievesrelevantsourcechunkstogroundpatternanalysisinactualuserdata.Thisiswhatletsnon-specialistproductteamstrusttheoutput:everyinsighttracesbacktoasource.

Promptcachingdoestwothings:itreducestokencostandcutsresponselatencyby63%.Onaresearchtoolwherepeoplearewaitingforasynthesisbeforeameeting,thatspeedmattersasmuchasthecontentitself.

EveryrequestgoesthroughaBYOKlayerforthefreetier:usersbringtheirownAPIkey(OpenRouter,Anthropic,OpenAI,orGoogle),whichneverleavesthebrowser.Auto-detectionrouteskeystotherightprovider.Theserverneverstoresorlogsguestkeys.

The design decisions

Calibratingtrustwasthehardestdesignproblem.LLMsfeelauthoritativeevenwhenthey'reguessing,sothebiggestriskintheproductwasdeliveringoutputsthatteamsusedwithoutquestioning.Ilandedonthreesystemsthataddressthisdirectly.

Sourcecitationsperattribute:everyinsightinaSyntheticUserprofilelinksbacktothesourceitcamefrom.Inferredfieldsaretagged[Inferred]intheoutput.Usersseeexactlywhatcamefromtheirdataandwhatwasmodelinference.

Theanti-optimismguardrailisanexplicitprohibitionlistinthesystemprompt:fourpatternsthatmakeagenerationinvalid.Thelayerforcesthemodeltodescribefrictionpointsasspecificsituations,when,where,whathappens.Ifafrictionpointistoovague,thegenerationfailsvalidation.

Thetriangulationscoremeasuressourcediversity(behavioral,attitudinal,contextual)withamultiplier:onesourcetypeyields0.6xconfidence,threetypesyield1.0x.TheConfidenceBadgecomponentrendersthisasawarning,informational,orconfirmationstate,andshowsexactlywhichsourcetypesaremissing.

Evaluationandimprovementsareoffthecriticalpath,triggeredon-demand.Themodelcallforprofilescloses,thenuserscantriggeraseparatecallforpatternsandrecommendationswhentheyneedit.Twosecondsondemandkeepsthemainloopfast,whichiswheretheteamspendsmostoftheirtime.

The failure mode

Whenthemodeldoesn'thaveenoughdatatogenerateareliableSyntheticUser,itsaysso.IbuiltaDataHintpanelthatsurfacesthreesignals:ananalysisofwhat'smissing,thespecificdatatypesneeded,andasuggestedresearchquestiontogogetthem.Thepanelusesprogressivedisclosure.Theanalysisisvisiblebydefault.Thegapsandsuggestedquestionexpandoninteraction.

Idecidedthatshowingalow-qualitySyntheticUserwithnosignalsofuncertaintywasmoredangerousthanbeinghonestaboutinsufficientdata.Teamsthattrustbadresearchmakeworsedecisions,andavoidingthatwasexactlythepoint.

BeforeanyuserdatareachestheLLM,ananonymizerstripsPII:emails,BrazilianCPFnumbers,phonenumbers,IPaddresses,andnamesincontext.Themodelreceivesonlyanonymizedtext.Dataatrestusesfield-levelencryption.Ihavenoaccesstorawusercontent.Thatcostsmeadminconvenience.Itwasworthit.

How I work with AI

Resensedidn'tstartasaproduct.Itstartedasmyownprocess.SyntheticUsersarehowIgetafirstreadonwhoI'mdesigningforinhoursinsteadofweeks,thenIvalidatetheonesthatmatterwithrealpeople.Astartingpoint,notareplacementforresearch.

Thesameinstinctrunsthroughtherestofmywork.IprototypenavigableflowsinClaudeCodeandCursor,soengineeringgetssomethingtheycanclickthroughinsteadofastaticscreen,whichiswherehandoffsusuallybreak.AndIbuiltadesignagentthatcarriesmydesignprinciplesandasetofSyntheticUsersascontext,runningconceptandusabilitychecksagainstthembeforeIsitdownwitharealuser.WhenIcompareditsverdictstorealsessions,theylandedcloseenoughtotrustasafirstpass.

AIisn'tastepIboltontotheend.It'sintheresearch,theprototype,andthetest,soIspendmytimeonthedecisionsinsteadofthesetup.

What's next

IwantSyntheticUsersthatevolveontheirownasnewproductdatacomesin,withoutmanualregeneration.Andaresearchagentthatlearnsfromcorrectionsignalsandsuggestswhattovalidatenextbasedonthegapsitalreadyflagged.Thegoalisasystemthatgetsmoreusefulthemoretheteamusesit.

Saving links doesn't make you smarter. Learning from them does.

Problem

IwasthatpersonwithhundredsofsavedlinksI'dneveropenagain.Isavedarticles,videos,references.ButwhenIneededsomething,I'dendupsearchingforatitleIbarelyremembered,infoldersIbarelyorganized.ThetoolIusedorganizedwhatIsaved.Theproblemwasitdidn'thelpmelearnfromitorfinditwhenIactuallyneededit.

SoIbuiltCoisas.spacearoundonequestion:whatifthecontentyousavedcouldsurfaceitselfwhenyouneedit,withoutyouhavingtorememberitexisted?

The AI stack

Categorizationrunsongpt-4o-miniviaOpenRouterattemperature0.2.Ifoundthattemperaturethroughtesting:highertemperaturesintroducedcategorydrift,thesamelinkcategorizeddifferentlyonrepeatsaves.0.2givestheconsistencythatacategorizationfeatureneedstobetrusted.

Theconversationalretrievallayerusesthecategoryasascopedcontextsignal,aRAG-likeapproachfastenoughforconsumerUXandaccurateenoughtobeuseful.Itestedwithfulldocumentembeddinganditwasslowerthantheactualquerypatternsjustified.

Whencontextisthin,retrievalfallsbackthroughthreelevels:visiblecontentfromtheactivecategory(last3days),thenallcontentfromthatcategory,thenallcontentregardlessofcategory.Thefallbackstrategykeepsresponsesgroundedevenforuserswhojuststarted.

TheFocoTimematchingalgorithmusessemanticAI,so"LearnReact"surfaceslinksabouthooks,components,andJSX,includinglinksthatnevermentionReactinthetitle.ResultsarecachedinKVwithhash-basedinvalidation:whenanewlinkissaved,thehashchanges,cacheinvalidates,andthenextmatchrequestregenerates.

The design decisions

Streamingwasnon-negotiableforme.Anycategorizationthatrequiredwaitingwouldbreakthesavehabit.Theproductonlyworksifsavingfeelsinstant.Thelinkappearsimmediatelyinthegridwithapendingstate,categorizationcompletesinthebackground,statusprogressesfrompendingtoprocessedtoread.

Iscopedtheconversationalinterfacebycategoryonpurpose.Open-endedchatoverallsavedcontentproducedirrelevantanswersintesting,sonarrowingthecontextwasthedecisionthatmadethefeaturework.Whenusersswitchcategorieswhileachatisopen,aninlinewarningappearswithtwooptions:keepthecurrentcontextorre-groundtheconversationinthenewcategory.

The/resumircommandusesFibonacci-basedprogressivedisclosure:thefirstcallreturns5links.Userscanaskformore,andthesequenceexpandsto8,13,21,34.Usersdiscoverwhattheyhaveatthepacetheyneed.

The failure mode

Whenthemodelcan'tcategorizealinkconfidently(paywalledpages,ambiguouscontent,brokenURLs),thelinklandsinanUncategorizedstatewithamanualoverrideoption.Thelinkisalwaysthere,alwaysaccessible.TheAIisanadditivelayerontopofthedata,sowhenitfails,thelinkstaysavailable.

TheAIproviderlayerhasafallback:ifOpenRouterreturnsa402(creditsexhausted),thesystemautomaticallyroutestoOpenAIwitha1-hourretrywindow.ServicestatusistrackedinKV:provider,lasterror,failedattempts,lastsuccesstime.Usersneverseeaproviderswitch.

Contentextractionusessilentfailure:ifittimesoutat10seconds,thelinkstillworkswithitsmetadata.Iprioritizedresponsespeedhere,becausealinkinthegridalreadyservestheuser,evenwithoutthefullcontentextracted.

Row-levelsecurityisenforcedatthedatabaselevelandintheapplicationlayer.EveryuserdatatablehasRLSpoliciesboundtoauth.uid().Noapplicationbugcanleakoneuser'sdatatoanother.

What's next

IwanttoadddeepreadingviaFirecrawl,extractingactualcontentfromsavedlinksbeyondthemetadata.AndGmailOAuthtopullnewslettersandthreadsdirectlyintothelibrary,turningtheinboxintoalearningfeed.WhatI'mmostexcitedaboutisthereadinglayer,becausethat'swhatwillmaketheAIresponsesgenuinelyuseful,groundedinwhatyouactuallyread.