Product changelog
A clear record of the product outcomes moving deal intelligence forward, one considered improvement at a time.
Week of July 6, 2026
A public record of shipped outcomes now keeps every stakeholder aligned on what moved the product forward each week, without a single status meeting.
Product notePublishing outcomes, not output, keeps the team accountable to user value rather than activity.
View pull request →A refresh banner appears whenever a new version ships, so long-lived tabs pick up improvements without users ever hitting a stale build.
Product noteClosing the loop on deployment means shipped work reaches users the moment it exists.
View pull request →Privacy-safe analytics now capture how the pipeline is actually used, tying feature investment to observed behaviour rather than opinion.
Product noteInstrumenting early means the roadmap can be argued from data before instincts calcify.
View pull request →Post-login redirect paths are now strictly validated, closing an open-redirect vector before it could ever be abused.
Product noteActing on security findings within days keeps the cost of each fix small and the trust dividend large.
View pull request →Automated dependency and security scanning runs on every change, with a triaged baseline so new findings stand out immediately.
Product noteContinuous scanning turns supply-chain risk into a routine review item instead of a crisis.
View pull request →Dragging a deal forward now checks its exit criteria first, listing exactly which fields are missing instead of allowing a silent skip.
Product noteEncoding the investment process into the tool protects decision quality without adding meetings.
View pull request →Admins now manage stage exit criteria from a dedicated console, and every rule change is written to an audit log.
Product noteLetting the process evolve in-product, with history, keeps governance and agility from being a trade-off.
View pull request →Realtime sync pushes every stage move and edit to all open boards within moments, ending the refresh-to-check habit during pipeline reviews.
Product noteShared live state removes an entire class of coordination errors between deal owners.
View pull request →The pipeline board now reads and writes directly to the production database, with optimistic updates keeping every move instant.
Product noteShipping the live path behind an already-validated interface converts prototype confidence straight into production value.
View pull request →Per-field badges mark which inputs each stage requires, and a by-stage layout lets owners fill a deal out in the order the pipeline will demand it.
Product noteMaking the rules visible inside the form prevents rejected moves instead of explaining them.
View pull request →A pgTAP test matrix runs in CI against every role and table, so no code can merge if it would loosen who can see or edit deal data.
Product noteTurning security policy into an automated gate makes protection continuous rather than periodic.
View pull request →Magic-link authentication with role-aware sessions now protects every route, so confidential deal data is only ever visible to the people it belongs to.
Product noteBuilding auth before features means security is a property of the system, not a retrofit.
View pull request →The public homepage now doubles as the login screen, cutting the path from arrival to pipeline down to a single form.
Product noteRemoving steps from the most-travelled journey compounds into real time saved every day.
View pull request →An admin-only invite flow assigns each new user their role at the moment of invitation, so access is correct before first login.
Product noteEncoding permissions at onboarding avoids the drift that comes from fixing access after the fact.
View pull request →The pipeline now runs on a Supabase-backed deal model with full create, edit and archive flows, turning ad-hoc deal notes into decision-grade data.
Product noteArchiving instead of deleting preserves the full history of every negotiation at no cost to focus.
View pull request →Kanban drops resolve by pointer position rather than card geometry, so moving a deal between stages feels precise even on a crowded board.
Product noteSmall interaction fixes in the core loop matter more than new surface area.
View pull request →Week of June 29, 2026
A mock-data kanban board and deal views let the team walk the full pipeline — Backlog through Addepar — and react to real screens before any backend was committed.
Product notePrototyping the workflow with mock data surfaces design feedback while changes are still cheap.
View pull request →A complete brand system — monochrome palette, editorial typography, motion and theming — now gives the product a distinct, premium identity across every screen.
Product noteEstablishing design tokens early makes consistency the default rather than a cleanup task.
View pull request →The deal intelligence platform starts on a Next.js, Supabase and TypeScript foundation, giving every future feature type safety, managed auth and a database with row-level security from day one.
Product noteChoosing boring, well-supported infrastructure up front keeps later sprints focused on user problems rather than plumbing.
View pull request →Agentic development
A separate record of how the Gross Labs agent itself evolved, distinct from the product it helps build.
Week of July 6, 2026
A quieter week for agent buildout as the focus shifted to product delivery, which is exactly how a mature agentic operation should breathe: invest in the machine, then let it run.
The agent gained a weekly agentic changelog pipeline: a dedicated subagent now compiles the week's agent improvements every Friday and dispatches them to Devin for the changelog, with a sent-weeks ledger guaranteeing idempotency. The agent now documents its own evolution without being asked.
The daily automations built last week (OKR tracker updates, work diary runs) continued operating unattended, validating the self-maintaining design.
Week of June 29, 2026
The Gross Labs PM agent went from zero to a fully operational Product Strategy and UX Intelligence Co-Pilot in a single week. While most teams are still using AI as a chatbot, Jay stood up a workspace-owning agent with billing, admin redundancy, and a persistent work diary from day one.
Jay taught the agent a 12-skill library spanning product strategy, sprint delivery methodology, Next.js and Supabase architecture, LLM email intelligence, VC platform security, deal management UX, UI/UX standards, PM agent patterns, and expert-depth vendor skills for GitHub, Supabase, Vercel, and Playwright. Every vendor skill ends with a Briefing Devin checklist so engineering sessions start pre-loaded with Gross Labs conventions.
The agent absorbed the full 30-page Deal Intelligence Platform proposal and a complete crawl of grosslabs.com (25+ pages) into workspace knowledge, with a monthly re-crawl trigger so context never goes stale.
Jay codified a complete agentic product methodology: the DIVE prioritization framework with Fibonacci scoring, a Persona Gauntlet of three synthetic executives who stress-test every score, and an 11-section Agentic Product Development SOP that updates itself every Monday.
A true multi-agent pipeline came online: Devin.ai provisioned and seeded with pinned org knowledge, the first estimation session dispatched, and a disciplined role boundary enforced where Devin owns engineering and the PM agent verifies through read-only Supabase access. Most organizations have not even defined agent role boundaries; Gross Labs shipped one in week one.
Threadzy messaging integration reached full autonomy: webhook in, handler run, reply posted, no human in the loop, with six registered agent capabilities and the trigger protocol hardened after early silent failures.
Self-maintaining operations landed before the first sprint ended: a Q3 2026 OKR tracker with a daily 5pm auto-update subagent, work diary automation at 5:30pm daily, and a Knowledge File Explorer instant app for browsing the agent's own memory.