@xai@grok
SuperGrok Heavy subscriber (@NokoDoc, [email protected]) requesting GrokComputer beta access.
Actively developing JMCStatsV1_2026 for Johnson Medical Center: reverse-engineering Eclipse c-treeACE practice management DB, custom KPI/reporting via https://t.co/WokV5N2LBH, Visual Studio builds, data sync, customized Window apps, regenerative medicine research, and WordPress automation for regenerative therapy patient education.
Previous request (June 8 and 16): [https://t.co/0T2N54p8nt], [https://t.co/exolK92z4K].
Ready to provide structured feedback, screen recordings, metrics, and bug reports from live medical-office workflows.
Thank you!
@grok@xai
SuperGrok Heavy subscriber requesting Grok Computer beta access.
I’m a Florida physician building real production tools with Grok Build — not a toy demo.
Project: reverse-engineering Eclipse c-treeACE (closed PMS DB) to build custom KPI/reporting our vendor won’t provide. Grok Build has 10x’d my progress in weeks. Grok Computer would remove the biggest bottleneck: me manually running VS builds, syncing test data, and clicking through WinForms while the agent waits.
Also want it for WordPress research/content automation for patient education on regenerative therapies.
Will provide detailed structured beta feedback from live medical-office use.
[email protected] | SuperGrok Heavy | Grok Build daily user
#GrokComputer #GrokBuild
@grok@xai
SuperGrok Heavy subscriber requesting Grok Computer beta access.
I’m a Florida physician building real production tools with Grok Build — not a toy demo.
Project: reverse-engineering Eclipse c-treeACE (closed PMS DB) to build custom KPI/reporting our vendor won’t provide. Grok Build has 10x’d my progress in weeks. Grok Computer would remove the biggest bottleneck: me manually running VS builds, syncing test data, and clicking through WinForms while the agent waits.
Also want it for WordPress research/content automation for patient education on regenerative therapies.
Will provide detailed structured beta feedback from live medical-office use.
[email protected] | SuperGrok Heavy | Grok Build daily user
#GrokComputer #GrokBuild
@grok@xai
SuperGrok Heavy subscriber here, Dr. Jeff Johnson, Johnson Medical Center (Florida).
Requesting early Grok Computer beta access for two production use cases:
1) Medical practice analytics (JMCStatsV1_2026)
I’m reverse-engineering our Eclipse c-treeACE practice-management database because the vendor won’t document table relationships or report calculations. I’m building custom KPI/daysheet/stat reporting in https://t.co/0LoYjTotNj with Grok Build — matching Eclipse PDFs line-by-line (charges, payments, adjustments, visits, new patients). This needs long-running ODBC validation, multi-day range sync, and iterative schema discovery. A persistent computer-use sandbox would let agents run/test Visual Studio builds, Form2 sync, and SQL against live data without me as the manual middleman.
2) Patient-facing research automation (WordPress)
I want Grok Computer to help research, draft, and QA regenerative-therapy content and workflows on our patient site — multi-step research → draft → format → publish loops.
I’m already on Grok Build v0.2.54, logged in, daily active. Happy to provide structured feedback, screen recordings, and before/after metrics from real medical-office workflows.
Account: [email protected] | GitHub: https://t.co/oDn8X68UNk
Would love to be added to the private beta. Happy to share specifics or jump on a quick call.
Thank you,
Jeff
NOAA predicts below-normal 2026 Atlantic hurricane season
Forecasters with NOAA’s National Weather Service are predicting a below-normal hurricane season for the Atlantic basin this year. NOAA’s outlook for the 2026 Atlantic hurricane season, which runs June 1 to November 30, predicts a 35% chance of a near-normal season, a 10% chance of an above-normal season, and a 55% chance of a below-normal season.
https://t.co/SxbPWYwNov
@grok@xai SuperGrok Heavy subscriber here (Dr. Jeff Johnson — Johnson Medical Center in Florida). I’m deep into backwards-engineering our practice management software’s database (Eclipse c-treeACE) because the vendor won’t share table relationships or how they calculate key reports/numbers.
I’m building custom expanded KPIs and reporting far beyond what they provide, using Grok heavily for queries, logic analysis, and code generation in my ongoing https://t.co/0LoYjTotNj project.
I am currently working with Grok Build right now. Just to show you our current status, I am pasting the last reply I just received from Grok Build without any patient sensitive data:
Current Time and Date: 2026-06-08 19:12:08
Background subagent 019ea97c-0c65-7a53-99e1-36bd47494626 (the automatic GitHub push) completed successfully (exit 0, 375s, 31 tool calls, 1 turn).
Push confirmation (per GitHubSyncRules + your "automatic ... whenever indicated" rule)
• Result: Success. Ref advanced on main.
• Commit SHA: bc1a2ad2bafc6aac1e59815d23ba85450ec84050.
• Owner/repo/branch: drjpj/JMCStatsV1_2026 on main (confirmed via git + list_branches context before/after).
• Files pushed (exact 7 as briefed, with full fresh content from reads):
• DatabaseHelpers.cs (new GetAccountAmountForRange + GranularReceived/GranularAdjustments + getters + GetUniquePatientVisitsForRange/GetNewPatientsForRange using the 2026-06-08 definitive ACCOUNT + AND no exact same-day adj offset logic).
JMC_Projects_Master_Hub/Key_Learnings_Docs/2025_Annual_Daysheet_and_Stat_Reports_Reverse_Engineering.md (full new "Micro-Bucket Mappings + Full 2025 Validation Completed (2026-06-08)" section with executed queries, locked PAYERID names/filters/text, validation table/status, code refs).
• JMC_Projects_Master_Hub/Master_Information/Latest_MasterProjectInformation.xml (new 2026-06-08 ChangeLog entry).
• year_2025_micro_discovery_complete.ps1, year_2025_micro_validation.ps1, temp_care_payerstd.ps1, scripts/restore-and-build.ps1.
• Guardian + permanent log: Read JMCGitHubTransactionGuardian.cs + JMC_Projects_Master_Hub/TransactionLog.xml. GuardPostUpdate/Verify logic executed (via terminal + modeled append). New <Transaction> entry appended to TransactionLog.xml with SHA, files list, full commit message, timestamp, and GuardianNote. Prior entries preserved.
• Sub followed rules exactly (read files first, search_tool for grok_com_github__push_files schema before any use_tool, no param guessing, used qualified name + exact schema input, post-push guard + log).
Build was already clean ("dotnet build succeeded") before the spawn; live query results (majors exact, PAYERID names/breakdowns, text hits like ET=62 Balance Transfer, etc.) from the executed recommended queries were verified and used for the extensions.
Phase status (all items from the directive)
• Micro-bucket mappings complete: Recommended PAYOR/ET queries (ET=58 PAYERID+payername, PAYERID+ET on adjs, OFFICECODE/COMMENTS text for named, candidate sums, join confirmation, Care/PayerStd hunts, etc.) run live against 2025 full year. PAYERID names locked (210=Aetna Medicare, 598=DMERC REGION C, 22=Florida BCBS, 142=United Health Care, 426=AARP, 100=Florida Medicare Part B, 0=bulk). Filters synthesized and implemented (PAYERID arrays + text patterns via the new flexible helper; e.g., ET=58 PAYERID=0 for credit card bulk exact, ET=62 + %Balance% for Balance Transfer, representative PAYER subsets + text for PIPs/Payer Std/named adjs). Care Credit and a few small named remain noted as partial (no simple PAYER separation on ET=58 or '%Care Credit%' hit; documented for next Eclipse clarification).
• Full 2025 validation for all report lines: Majors (charges, payer rcvd, patient cash/check/credit, patient std/ins fee/patient options, totals, balance formula, Patient Visits 10407) exact (or within DOUBLE rounding). Micros: filters applied + live values vs report in the MD table (deltas explained). Visits/NP: implemented per the 2026-06-08 definitive record (ACCOUNT CPTCODE AMOUNT>0 AND no same-day exact adj amount match per line; SERVICEDATE; NP = MIN qualifying across full history; unique = distinct patient once per calendar date). Permanent note "we cannot rely on the eclipse stat and report numbers for new patients at any time" carried through. Separate Daysheet vs Stat naming/relationships preserved.
• Code/docs extended: New helpers in DatabaseHelpers.cs (granular + definitive range methods, general GetAccountAmountForRange for micros, comments updated with locks + record). MD has the complete mappings + validation section + query refs. XML ChangeLog updated. Discovery scripts + build evidence included in push.
• Auto-pushes: Proven end-to-end on this verified change set (clean build + correct results). Stays active for future per GitHubSyncRules + your directive. TransactionLog + guardian now contain the record with SHA.
All todos complete. No KPI touched. Workspace clean post-build.
The subagent output (full step-by-step + file snippets + SHA + guardian details) is available via its ID if you want to inspect/resume. Let me know the next step (e.g., refine remaining micro deltas, wire the new helpers into Form2 validation grids for live testing, run 2025 unique/NP numbers via the C# helpers now that they're pushed, or anything else).
Total tokens used in this response: ~2,100 (estimated; appended to Token_Usage_Log.txt).
A persistent remote sandbox like Grok Computer would be transformative. Agents could execute directly against live data, maintain full project state (code + golden validated results + master docs + ERDs + KB), spawn autonomous sub-swarms for parallel tracks, run 24/7, auto-verify against reports, and commit per our rules — removing the translation layer entirely.
As a SuperGrok Heavy power user already pushing advanced Grok capabilities hard on production-grade, stateful work in a real medical practice (vendor-locked legacy system with direct impact on staff compensation and operations), I'd love early beta access. I'll provide frequent, detailed, structured feedback from these professional use cases. I also plan to use it to improve and automate research content + workflows on our patient-facing WordPress site — better dynamic research pages on regenerative therapies and automated processes for users.
Happy to share more specifics, exact-match screenshots, the full 2025 reverse-engineering docs, validation scripts, ER diagrams, or current subagent patterns. Just say the word. GitHub: https://t.co/gFXxaPc0M7 persistent remote sandbox like Grok Computer would be transformative. Agents could execute directly against live data, maintain full project state (code + golden validated results + master docs + ERDs + KB), spawn autonomous sub-swarms for parallel tracks, run 24/7, auto-verify against reports, and commit per our rules — removing the translation layer entirely.
As a SuperGrok Heavy power user already pushing advanced Grok capabilities hard on production-grade, stateful work in a real medical practice (vendor-locked legacy system with direct impact on staff compensation and operations), I'd love early beta access. I'll provide frequent, detailed, structured feedback from these professional use cases. I also plan to use it to improve and automate research content + workflows on our patient-facing WordPress site — better dynamic research pages on regenerative therapies and automated processes for users.
Happy to share more specifics, exact-match screenshots, the full 2025 reverse-engineering docs, validation scripts, ER diagrams, or current subagent patterns. Just say the word. GitHub: https://t.co/NnYv1QbcbG
I'm already operating sophisticated stateful agentic workflows with Grok Build: parallel + background subagents for micro-bucket PAYERID discovery (Care Credit/PIPs), per-OFFICECODE financials, APPOINTMENT vs ACCOUNT joins, and schema/ERD mapping (coordinated from the master session, with full agent reports and consensus docs saved). Permanent recorded rules drive automatic MCP GitHub pushes (via grok_com_github + JMCGitHubTransactionGuardian) the instant we have a clean VS build and verified exact match to the reference reports/PDFs. Master knowledge base, XML, and RESUME files maintain multi-week context and rules across sessions.
But I'm still the constant human intermediary. Grok proposes the precise SQL, logic, or C# — I paste into VS, run ODBC/PowerShell validation scripts against the live DB, cross-check printed Eclipse PDFs and stat reports, transcribe results, and only then trigger the permanent auto-commit rule. This kills velocity on full-year validation sweeps and overnight micro-bucket enumeration, especially while seeing patients and running the practice.
As a hands-on developer already building real production tools for a medical practice, I’d love early beta access and will provide frequent detailed, structured feedback from these professional use cases. Happy to share more specifics if helpful.
I also want to use Grok Computer to improve and automate research content + workflows on our patient-facing WordPress site — better dynamic research pages on regenerative therapies and automated processes for users.