Full Transparency

Building in the Open

How Picking Solutions was built in 30 days with AI — and how an autonomous executive team now helps run it. Real numbers. Real architecture. Nothing hidden.

Act I — The Build

One person, one AI co-pilot, 30 days. Here's the timeline.

2018

The Seed

A reflection on time, attention, and information overload. The idea sat dormant for 7 years — not from lack of ambition, but from fear of starting.

Dec 2025

The Spark

AI matured from novelty to genuine creative amplifier. The barrier was never capability — it was permission to begin. So I began.

Dec 2025 – Jan 2026

30-Day Rapid Build

From blank repo to live signals, tools, premium dashboards, and a flywheel. DeepAgent as co-pilot. Human direction, AI amplification.

Jan 2026

Launch + Transparency

Went live with daily feeds, Lumen Pro, intelligence pipeline. Decided to build in the open — showing everything, hiding nothing.

Mar 2026

AI Executive Team

Phase B: 5 AI agents running strategy, operations, and analytics. Turn-based meetings, daily briefings, founder feedback loop. The zero-human company experiment begins.

Now

Building in the Open

You're looking at a live system. The numbers below are real, pulled from the database right now. This page updates every time you load it.

Live Platform Numbers

Pulled from the database right now. Not vanity metrics — actual system state.

174
Published Posts
107,033
Intelligence Items
89
Data Sources
9,125
Collector Runs
1,246
LLM Digests
810
Pulse Signals
12
Reports
5
AI Agents

Act II — The Experiment

Can an AI executive team run a company? We're finding out — live.

System Architecture

5 AI agents — each with a distinct role, personality blend, and configurable behaviour
17 leadership personas — from Musk to Sun Tzu, blended dynamically per agent
35 mental models — grounded in warehouse automation domain
40 parametric sliders — risk tolerance, innovation bias, time horizon, etc.
9 cascading targets — founder → CEO → department → operational
551 briefings generated + 32 meetings held

Agent Roster

Analytics Chiefexecutive
abacusai / gpt-4o
CEOexecutive
xai / grok-3
Marketing Chiefexecutive
abacusai / gpt-4o
Product Manageroperational
xai / grok-3
Tech Team Leadoperational
abacusai / claude-sonnet-4-20250514

Active Targets (Live)

Backlog Items Completed Per Week > 3(Product)
0%
weekly_velocity: 0 / 3
Zero Stale Pipelines (>24h)(Tech Lead)
0%
stale_pipelines: 0 / 0
Dashboard Engagement > 30 Sessions/Day(Analytics)
0%
daily_sessions: 0 / 30
Email Subscriber List > 200(Marketing)
0%
email_subs: 0 / 200
3 Published Posts Per Week(Marketing)
33%
weekly_posts: 1 / 3
500 Weekly Unique Visitors(Marketing)
0%
weekly_uniques: 0 / 500
Define & Publish Pricing Page(CEO)
0%
milestone: 0 / 1
$1,000 Monthly Recurring Revenue(CEO)
0%
mrr_usd: 0 / 1000
First Paying Subscriber(CEO)
0%
paying_users: 0 / 1

Recent Briefings

22 Oct 2026ceo_digestCEO

Content velocity has collapsed to a single post in the past seven days against a three-post target, while the tech stack remains stable with zero pipeline errors and healthy ingestion rates. This gap is the primary blocker to the first-paying-subscriber milestone, as data accumulation is not converting into the visitor and subscriber growth required. The zero Autopilot runs in the last 24 hours represent an emerging operational blind spot that must be resolved before it compounds the delivery problem.

22 Oct 2026daily_productProduct

Content velocity remains critically low with only 1 post published in the last 7 days against a 3-post weekly target, while the backlog completion rate sits at 0/3 items for the week. All pipelines and data ingestion are healthy with zero errors and fresh runs, but this operational stability is not translating into shipping progress toward the first paying subscriber. The product surfaces (blog, Lumen Pro, AI Exec Team) show steady data accumulation but lack the content output needed to drive 500 weekly visitors and 200 email subscribers.

22 Oct 2026daily_techTech Lead

All 7 data pipelines are running within the 24-hour freshness threshold — the `target_zero_stale_pipelines` target remains clean at 0 violations. Intelligence ingestion continues at a healthy pace (444 items in the last 24h), and the data fetch layer is error-free across 9,087 logged runs. The one area requiring attention is the Autopilot system, which logged zero runs in the last 24 hours — this warrants investigation to confirm whether this is expected scheduling behaviour or a silent failure. ---

21 Oct 2026ceo_digestCEO

Content velocity remains the critical blocker to first-paying-subscriber progress despite fully healthy data infrastructure. Only one post was published in the past seven days against a three-post weekly target, and zero backlog items were completed. All pipelines and Lumen/Daily Edition outputs are fresh, but the Autopilot system recorded zero runs, requiring immediate confirmation on whether this is expected or a silent failure.

21 Oct 2026daily_productProduct

Content velocity remains critically low with only 1 post published in the last 7 days against the 3 posts/week target, while backlog completion sits at 0/3 items for the week. Data pipelines and Lumen/Daily Edition outputs continue to run cleanly with fresh ingestions and generations recorded today. These metrics show healthy operational infrastructure but insufficient movement toward the first paying subscriber target.

Recent Meetings

ops reviewcompleted18 Oct

**SUMMARY** All agents agree that core system health is green: pipelines ran within 24h with zero errors, 136 intelligence items were ingested, and the zero-stale-pipelines target holds. The two material issues are the unexplained zero Autopilot runs yesterday (flagged as a potential observability gap requiring 24-hour confirmation) and the content velocity shortfall (only 1 post published in 7 days against the 3-post weekly target), which directly threatens the 500 weekly visitors and first-paying-subscriber milestones. Backlog throughput at 0/3 items is also cited as a concern, with consensus that every BACK-* item must trace to an ExecTarget. There is full alignment on the need for radical transparency and immediate investigation rather than debate. No substantive disagreements emerged; all parties converged on the same two priorities: Autopilot clarification and a content pipeline audit focused on the ingestion-to-publication handoff. **KEY DECISIONS** - Confirm within 24 hours whether the zero Autopilot runs were scheduled downtime or a silent scheduler failure. - Conduct a focused 48-hour content pipeline audit to identify the top two constraints blocking publication velocity. - Require every open BACK-* item to demonstrate a direct link to an ExecTarget before any further work proceeds. - Treat content velocity as the highest-leverage Type 2 decision this week and ship the first fix by Friday. **ACTION ITEMS** - **Action:** Investigate and report root cause of zero Autopilot runs yesterday (scheduled vs. failure) with findings and any observability gap recommendations. **Owner:** Analytics Chief **Priority:** high - **Action:** Lead 48-hour content pipeline audit focused on ingestion-to-publication handoff; identify top two constraints and recommend first fix. **Owner:** Product Manager (with input from Tech Team Lead) **Priority:** high - **Action:** Confirm Autopilot status by EOD tomorrow and, if unexplained, add observability task to this week’s backlog with acceptance criteria tied to the zero-stale-pipelines target. **Owner:** Tech Team Lead **Priority:** high - **Action:** Review open BACK-100–400 items and close or deprioritise any that do not trace to ExecTargets. **Owner:** Product Manager **Priority:** medium **OPEN QUESTIONS** - Which specific 2–3 backlog items (BACK-100–400 series) will be shipped this week, and who owns the acceptance criteria? - Will the content pipeline audit surface an editorial, technical, or prioritisation root cause?

ops reviewcompleted11 Oct

## SUMMARY The meeting confirmed pipeline health as green with zero fetch errors across 8,634 operations and stable infrastructure, but surfaced an autopilot gap of zero runs in the last 24 hours as a potential silent scheduling issue requiring immediate confirmation. All agents aligned on the 1-post/7-days publish rate as the critical constraint against the 3-posts/week velocity target (0% progress toward the 2026-05-31 deadline) and the first-paying-subscriber goal, framing it as a delivery risk rather than an editorial decision. Tech Team Lead, Product Manager, Analytics Chief, and CEO converged on treating the blog generator end-to-end audit as a priority backlog item, while the Marketing Chief additionally flagged content quality and subscriber engagement tactics. CEO positioned the velocity fix as a reversible Type 2 decision aligned with first-principles iteration and monopoly differentiation via the AI Executive Team. No major disagreements emerged, though Marketing's quality focus was noted as secondary to closing the publish-rate gap. ## KEY DECISIONS - Pipeline health remains green; the autopilot zero-run day must be investigated for cadence compliance rather than treated as normal. - The low content publish rate is a product delivery blocker, not a deliberate strategy choice, and requires an end-to-end blog generator audit this week. - Autopilot run-frequency monitoring and alerting should be implemented if daily cadence is confirmed as the baseline. ## ACTION ITEMS - **Action:** Confirm expected autopilot run frequency and investigate the 24-hour zero-run gap; implement simple run-frequency alerting if daily cadence is the baseline. **Owner:** Tech Team Lead **Priority:** high - **Action:** Add and execute one backlog item for end-to-end audit of the blog generator pipeline (ingestion through published state) to close the gap between data fetch and actual content output. **Owner:** Tech Team Lead + Product Manager (split ownership) **Priority:** high - **Action:** Add autopilot run-frequency check to this week's 3-item target list. **Owner:** Product Manager **Priority:** medium ## OPEN QUESTIONS - Is the expected autopilot cadence daily, and if so, should a zero-run day automatically trigger an alert rather than surfacing only in weekly review? - Should content quality assessment (remarkable/Purple Cow pieces) or subscriber engagement tactics be prioritised alongside the velocity fix, or remain secondary until publish rate improves?

ops reviewcompleted4 Oct

**SUMMARY** All agents confirmed pipeline health as green, with zero errors across 8,385 logs, all pipelines running within 24 hours, and 134 intelligence items ingested. The primary issue identified is content velocity: only 1 post published in 7 days against the 3 posts/week target, which directly blocks progress on the 500 weekly visitors and first paying subscriber ExecTargets. Zero autopilot runs in the last 24 hours was flagged as a potential silent-failure risk requiring a defined expected frequency. There was full agreement that the bottleneck is in the blog generator process rather than data pipelines, and that a quick audit plus autopilot cadence definition should be prioritised. Marketing Chief added the need to review content strategy and engagement metrics for quality alongside cadence. **KEY DECISIONS** - The blog generator task audit will be prioritised this week as a Type 2 (reversible) decision to diagnose and resolve the content velocity gap. - Ops must confirm the expected autopilot run frequency by EOD tomorrow to enable alert threshold configuration. - The audit findings will be mapped to a BACKLOG item with acceptance criteria explicitly tied to achieving 3 posts/week. **ACTION ITEMS** - **Action:** Run the blog generator scheduled task audit (review logs for firing cadence, throttling, or rate limits) and map results to a new or existing BACKLOG item with velocity acceptance criteria. **Owner:** Tech Team Lead **Priority:** high - **Action:** Confirm and document the expected autopilot run frequency to close the silent-failure monitoring gap. **Owner:** Ops **Priority:** high - **Action:** Conduct a rapid content strategy review against permission-marketing and Purple Cow principles, including analysis of current engagement metrics. **Owner:** Marketing Chief **Priority:** medium **OPEN QUESTIONS** - None. All proposals reached consensus; founder input is not required to proceed with the two high-priority actions.

The Stack

Everything runs on a single Next.js app. No microservices. No Kubernetes. One repo.

Frontend
Next.js 14 (App Router) + Tailwind CSS + shadcn/ui
SSR + client components, theme-aware
Backend
Next.js API Routes + Prisma ORM
70+ tables, 200k+ rows in PostgreSQL
LLM
Abacus.AI RouteLLM + xAI Grok-3
Provider-agnostic adapter, per-agent model selection
Data Pipeline
10 scheduled tasks (cron)
RSS, APIs, social intel, briefings, blog generation
AI Exec Team
5 agents, 17 personas, 35 mental models
Turn-based meetings, daily briefings, parametric sliders
Hosting
Abacus.AI (app + DB + storage)
Standalone build, auto-deploy from checkpoint

The Build Log

A 7-part series documenting each phase of the build. Honest, practical, with real prompts and real costs.

Building in the Open — series cover showing a transparent glass structure being assembled by AI
7-Part Series

Building in the Open

Follow the Experiment

This isn't a polished pitch deck. It's a live system being built, tested, and iterated on in public. The agents are real. The numbers update. The mistakes are documented.