Return-Path: Delivered-To: alvarochf@traceseis.com Received: from cs510.bluehost.com by cs510.bluehost.com with LMTP id uCkGEzlLPWoe7gcAWiBQxw (envelope-from ) for ; Thu, 25 Jun 2026 09:37:29 -0600 Return-path: Envelope-to: alvarochf@traceseis.com Delivery-date: Thu, 25 Jun 2026 09:37:29 -0600 Received: from a95.a5d06dfa.euw1.send.eu.mailgun.net ([198.244.60.95]:45606) by cs510.bluehost.com with esmtps (TLS1.2) tls TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 (Exim 4.99.2) (envelope-from ) id 1wcm8u-00000002BlF-2Jdf for alvarochf@traceseis.com; Thu, 25 Jun 2026 09:37:29 -0600 DKIM-Signature: a=rsa-sha256; v=1; c=relaxed/relaxed; d=cioeu76411.tldv.io; q=dns/txt; s=mta; t=1782401830; x=1782409030; h=Message-Id: List-Unsubscribe-Post: List-Unsubscribe: To: To: From: From: Subject: Subject: Content-Type: Mime-Version: Date: Sender; bh=p0DsZbevaexnsc6V77Y/Zm6GGVkMhCOYIDy6YSpFB3E=; b=EMemnZobxKk3VOoWvsFSqYdjJqPX60ZzAlzXMa1mC/2J9plBlIfdxmf0O13d94mo6hvlH0fp678N28ZNX+UsHI+mvaAvwHc5Y+iGVZsrzOO8S3am64HwzKomVJ3j71mOxNvg9AZReIbG40Z1M7qWC6+2Vxez/pF0rRBu7Nt4kFI= X-Mailgun-Sid: WyJkYTgyZiIsImFsdmFyb2NoZkB0cmFjZXNlaXMuY29tIiwiM2M5OWMzIl0= Received: by e85686d7705bac68752cc57125d26b7cc20ff416e3db53cf43297c53cba01d5d with HTTP id 6a3d4b262764bb39a5cb78a6; Thu, 25 Jun 2026 15:37:10 GMT X-Mailgun-Sending-Ip: 198.244.60.95 Date: Thu, 25 Jun 2026 15:37:10 +0000 Mime-Version: 1.0 Content-Type: multipart/alternative; boundary="afe4aa08731bc259ec064e18c3078e3099d5548661b7ef6247c9b71c21e5" Subject: =?UTF-8?q?"6/25/2026-Meeting(Audio)"_meeting_notes_and_AI_answers_are_rea?= =?UTF-8?q?dy_=E2=9C=85?= From: "tl;dv Team" To: alvarochf@traceseis.com X-Mailgun-Native-Send: true X-Mailgun-Track-Clicks: false X-Mailgun-Track-Opens: false X-Mailgun-Dkim: true List-Unsubscribe: , List-Unsubscribe-Post: List-Unsubscribe=One-Click X-Mailer: Customer.io (dgSDuwcBAJeIsw2WiLMNAZ7_bYtGGtAWLlsCh_2_BQ==; +https://whatis.customeriomail.com) X-Report-Abuse-To: badactor@customer.io X-Mailgun-Variables: {"email_id": "dgSDuwcBAJeIsw2WiLMNAZ7_bYtGGtAWLlsCh_2_BQ=="} Message-Id: <20260625153710.3cf3d94077cdc182@cioeu76411.tldv.io> X-Spam-Status: No, score=0.2 X-Spam-Score: 2 X-Spam-Bar: / X-Spam-Flag: NO --afe4aa08731bc259ec064e18c3078e3099d5548661b7ef6247c9b71c21e5 Content-Transfer-Encoding: quoted-printable Content-Type: text/plain; charset="utf-8" Action Items: Build root cause failure analysis workflow connecting all dat= a sources for ESP failures =C2=A0 ( https://tldv.io/ ) ------------------------- Your Recording & AI Notes ------------------------- =E2=9C=A8 Summarize Insights ( https://tldv.io/app/meetings/6a3d4a399d7c610= 013a7fa07?origin=3Dmeeting-delivery-email&ask-ai-on-load=3Dsummarize-insigh= ts ) ************************ 6/25/2026-Meeting(Audio) ************************ *************** 1. Action Items *************** * Build root cause failure analysis workflow connecting all data sources fo= r ESP failures 03:16 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa0= 7?t=3D196 ) * Develop decline curve analysis skill and tool for on-demand production an= alysis 04:20 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t=3D26= 0 ) * Create well workover candidate identification tool with cost estimation c= apability 04:47 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t= =3D287 ) * Implement learning loop to capture and apply production engineer feedback= daily 07:50 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t=3D47= 0 ) * Record senior expert conversations using Granola Notes for tribal knowled= ge capture 13:23 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t= =3D803 ) * Deploy pilot application to main enterprise Rigs platform after validatio= n 22:09 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t=3D1329 ) ********************************** 2. Data Architecture & Integration ********************************** * Unstructured data in PDFs including teardown reports and chemical injecti= on reports requires unlocking 00:05 ( https://tldv.io/app/meetings/6a3d4a39= 9d7c610013a7fa07?t=3D5 ) * Document fracking ingests PDFs, spreadsheets, and reports into structured= format for AI access 00:27 ( https://tldv.io/app/meetings/6a3d4a399d7c6100= 13a7fa07?t=3D27 ) * 1D data model represents unstructured documents; 2D adds tabular structur= e; 3D connects data across silos 14:59 ( https://tldv.io/app/meetings/6a3d4= a399d7c610013a7fa07?t=3D899 ) * 4D model adds time dimension with continuous SCADA, real-time series data= , and daily report ingestion 16:10 ( https://tldv.io/app/meetings/6a3d4a399= d7c610013a7fa07?t=3D970 ) * Kolide operations system integrates drilling, geo, completions, productio= n, and land data into unified database 15:48 ( https://tldv.io/app/meetings= /6a3d4a399d7c610013a7fa07?t=3D948 ) * Most customers reach 3D maturity with structured SQL databases but lack u= nstructured PDF data extraction 15:31 ( https://tldv.io/app/meetings/6a3d4a= 399d7c610013a7fa07?t=3D931 ) **************************************** 3. AI-Native Operating System Components **************************************** * Layered approach: data structuring, domain expertise reasoning, and workf= low automation for production teams 01:34 ( https://tldv.io/app/meetings/6a= 3d4a399d7c610013a7fa07?t=3D94 ) * Production engineers provide feedback loop to teach AI correct answers an= d preferred visualization formats 01:00 ( https://tldv.io/app/meetings/6a3d= 4a399d7c610013a7fa07?t=3D60 ) * 200+ tools and skills available; orchestration layer determines which too= ls to use for each query 05:29 ( https://tldv.io/app/meetings/6a3d4a399d7c6= 10013a7fa07?t=3D329 ) * Strata petroleum-specific model advises Frontier LLM on domain context an= d appropriate tool selection 24:01 ( https://tldv.io/app/meetings/6a3d4a399= d7c610013a7fa07?t=3D1441 ) * Traceability enables visibility into agent reasoning, skill selection, an= d tool calls for continuous improvement 26:01 ( https://tldv.io/app/meeting= s/6a3d4a399d7c610013a7fa07?t=3D1561 ) *************************************** 4. Deep Brain & Organizational Learning *************************************** * Deep brain captures tribal knowledge from engineers, preventing loss duri= ng mergers and acquisitions 09:10 ( https://tldv.io/app/meetings/6a3d4a399d= 7c610013a7fa07?t=3D550 ) * Self-improving system grows smarter with each correction, always at worst= state initially then improving 09:35 ( https://tldv.io/app/meetings/6a3d4a= 399d7c610013a7fa07?t=3D575 ) * Two-part learning: engineers provide feedback via Rigs UI and external co= nversations capture additional context 11:00 ( https://tldv.io/app/meetings= /6a3d4a399d7c610013a7fa07?t=3D660 ) * Recording senior expert conversations about field performance and operati= ons creates searchable knowledge base 11:48 ( https://tldv.io/app/meetings/= 6a3d4a399d7c610013a7fa07?t=3D708 ) * Recorded conversations valuable for M&A scenarios, linking tribal knowled= ge to structured field and asset data 12:34 ( https://tldv.io/app/meetings/= 6a3d4a399d7c610013a7fa07?t=3D754 ) ****************************************** 5. Implementation Strategy & Time to Value ****************************************** * Begin with deterministic applications on small datasets, validate, then e= xpand to larger datasets 21:00 ( https://tldv.io/app/meetings/6a3d4a399d7c6= 10013a7fa07?t=3D1260 ) * Pilot applications provide standalone value before enterprise deployment,= enabling continued use during transition 21:59 ( https://tldv.io/app/meeti= ngs/6a3d4a399d7c610013a7fa07?t=3D1319 ) * Shortest time to value comes from automating regular tasks like forecasti= ng and root cause analysis 20:44 ( https://tldv.io/app/meetings/6a3d4a399d7= c610013a7fa07?t=3D1244 ) * Start with workflow automation, then expand data ingestion and document f= racking to larger datasets 22:43 ( https://tldv.io/app/meetings/6a3d4a399d7= c610013a7fa07?t=3D1363 ) * AI-native status requires all components: data ingestion, domain models, = workflows, and automation capabilities 17:31 ( https://tldv.io/app/meetings= /6a3d4a399d7c610013a7fa07?t=3D1051 ) ********************************* 6. User Experience & Capabilities ********************************* * Engineers ask natural language questions without specifying role; Strata = infers context from query content 24:46 ( https://tldv.io/app/meetings/6a3d= 4a399d7c610013a7fa07?t=3D1486 ) * System learns engineer preferences for visualization formats and applies = them automatically to future queries 07:37 ( https://tldv.io/app/meetings/6= a3d4a399d7c610013a7fa07?t=3D457 ) * Orchestration layer handles complex multi-step processes invisibly, creat= ing seamless user experience 23:48 ( https://tldv.io/app/meetings/6a3d4a399= d7c610013a7fa07?t=3D1428 ) * AI unlocks data access enabling engineers to explore 30 rabbit holes inst= ead of 5 04:05 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07?t=3D= 245 ) *************************** 7. Future Agentic Workflows *************************** * Fully agentic workflows will autonomously submit stripper well applicatio= ns without human approval 28:11 ( https://tldv.io/app/meetings/6a3d4a399d7c= 610013a7fa07?t=3D1691 ) * Agentic workflows expected within six months as customer trust and valida= tion increase 28:35 ( https://tldv.io/app/meetings/6a3d4a399d7c610013a7fa07= ?t=3D1715 ) * Deep brain provides comfort and trust enabling customers to delegate auto= nomous task execution 28:03 ( https://tldv.io/app/meetings/6a3d4a399d7c6100= 13a7fa07?t=3D1683 ) View recording and AI Notes ( https://tldv.io/app/meetings/6a3d4a399d7c6100= 13a7fa07?origin=3Dmeeting-delivery-email ) FEATURE HIGHLIGHT Playbook Coaching for better meetings Define & monitor playbooks for each meeting type. Try it now ( https://tldv.io/app/ai-coaching-hub ) LinkedIn ( https://www.linkedin.com/company/tl-dv/ ) Instagram ( https://www.instagram.com/tldv.io/ ) TikTok ( https://www.tiktok.com/@tldv.io ) G2 ( https://www.g2.com/products/tl-dv/reviews ) tl;dv is committed to protecting the confidentiality, integrity, and availa= bility of your data at all times. Our services are designed with a privacy-= first approach and are encrypted & GDPR compliant. You can review our Terms= of Service, ( https://tldv.io/terms/ ) and our Privacy policy. ( https://t= ldv.io/privacy/ )=C2=A0 You are receiving this email because someone in thi= s meeting is using tl;dv to record a meeting you were part of. You can stop= receiving these meeting summaries by unsubscribing here ( https://track.cu= stomer.io/unsubscribe/dgSDuwcBAJeIsw2WiLMNAZ7_bYtGGtAWLlsCh_2_BQ=3D=3D ). --afe4aa08731bc259ec064e18c3078e3099d5548661b7ef6247c9b71c21e5 Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="utf-8" 96
Action Items: Build root cause fai= lure analysis workflow connecting all data sources for ESP failures =E2=80= =87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F = =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87= =CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2= =80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD= =8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80= =87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F = =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87= =CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2= =80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD= =8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80= =87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F = =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87= =CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2= =80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD= =8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80= =87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F = =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87= =CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2= =80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD= =8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80= =87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F =E2=80=87=CD=8F = =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2= =AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD = =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2= =AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD = =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2= =AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD = =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2= =AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD = =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2=AD =C2= =AD =C2=AD =C2=AD=C2=A0
<= tbody>

Your Recording & AI Notes<= /strong>

=E2=9C=A8 Summarize Insights
=

6/25/2026-Meeting(Audio)

1. Action It= ems

  • Build root cause failure analysis workflow connecting all data so= urces for ESP failures 03:16
  • Develop decline curve analysis skill and tool for on-demand produ= ction analysis 04:20
  • Create well workover candidate identification tool with cost esti= mation capability 04:47
  • Implement learning loop to capture and apply production engineer = feedback daily 07:50
  • Record senior expert conversations using Granola Notes for tribal= knowledge capture 13:23
  • Deploy pilot application to main enterprise Rigs platform after v= alidation 22:09

2. Data Architecture & In= tegration

3. AI-Native Operating System= Components

4. Deep Brain & Organizat= ional Learning

  • Deep brain captures tribal knowledge from engineers, preventing l= oss during mergers and acquisitions = 09:10
  • Self-improving system grows smarter with each correction, always = at worst state initially then improving 09:35
  • Two-part learning: engineers provide feedback via Rigs UI and ext= ernal conversations capture additional context 11:00
  • Recording senior expert conversations about field performance and= operations creates searchable knowledge base 11:48
  • Recorded conversations valuable for M&A scenarios, linking tr= ibal knowledge to structured field and asset data 12:34

5. Implementation Strategy &a= mp; Time to Value

  • Begin with deterministic applications on small datasets, validate= , then expand to larger datasets 21= :00
  • Pilot applications provide standalone value before enterprise dep= loyment, enabling continued use during transition 21:59
  • Shortest time to value comes from automating regular tasks like f= orecasting and root cause analysis = 20:44
  • Start with workflow automation, then expand data ingestion and do= cument fracking to larger datasets = 22:43
  • AI-native status requires all components: data ingestion, domain = models, workflows, and automation capabilities 17:31

6. User Experience & Capa= bilities

7. Future Agentic Workflows
  • Fully agentic workflows will autonomously submit stripper well ap= plications without human approval 2= 8:11
  • Agentic workflows expected within six months as customer trust an= d validation increase 28:35
  • Deep brain provides comfort and trust enabling customers to deleg= ate autonomous task execution 28:03=

View recording and AI Notes
=

=

<= td class=3D"column column-1" width=3D"58.333333333333336%" style=3D"mso-tab= le-lspace:0;mso-table-rspace:0;font-weight:400;text-align:left;vertical-ali= gn:bottom">
=

= FEATURE HIGHLIGHT

=

Playbook Coaching for = better meetings

Define & monitor playbooks for each meeting type.

=
Try it now
3D""
<= tr>

3D"LinkedIn"<= /td> 3D"Instagram" 3D"TikTok" 3D"G2"

t= l;dv is committed to protecting the confidentiality, integrity, and availab= ility of your data at all times. Our services are designed with a privacy-f= irst approach and are encrypted & GDPR compliant. You can review our Terms of Service, and our Privacy policy.=C2=A0 You are receiving t= his email because someone in this meeting is using tl;dv to record a meetin= g you were part of. You can stop receiving these meeting summaries by unsubs= cribing here.
=C2=A0
3D""/ --afe4aa08731bc259ec064e18c3078e3099d5548661b7ef6247c9b71c21e5--