Work8 systems
Case studies.
Each one is a system I owned end to end, written up from the real repository. Counts and claims are traced to code; anything the source could not reproduce is labeled as self-reported on the page itself.
CoHost AI Studio AI automation Nothing publishes until it clears the gate. 
Throughline RevOps backbone One connector interface, every system in sync. Manifest CRM data engineering Every record accounted for on the way into one identity layer. 
Meter MarTech · billing Intermedia usage, billed straight into ConnectWise. 
EnrichCRM MarTech · AI CSV in, enriched contacts out, at a fraction of the cost. 
Synapse Client intelligence Where scattered business data becomes client intelligence. 
Foreman AI tooling Keeps your AI coding sessions alive and restarts the ones that hang. 
Tether Internal tools Run your dev ops from your phone. Live demos.
Interactive proof you can open and try right now — no login. Every one runs on a real server-side backend — live DNS, data import, deterministic analysis — on the synthetic sample or your own input. The fleet operations layer pings all six backends from your browser and shows the CI/drift gates that keep the proof honest.
RevOps Software Factory Start here Real multi-agent backend Applied AI · RevOps Review your revenue data for about a dollar. A coordinator dispatches specialist agents (dedup, attribution, stage-logic, enrichment) over a synthetic HubSpot batch, fuses their findings, and returns one approval-biased verdict with a live token-cost ledger. Risk-scaled compute, model tiering, and a cache + budget guard make the live backend safe and cheap. (Synthetic data, not a live CRM.) 
Q2See Start here Real import backend Revenue systems Signed contract. No invoice. Nobody's panicking yet. Import your own quote-to-cash export and the backend parses it server-side into one quote→contract→invoice→renewal flow, flagging the broken handoff before revenue leaks. (A point-in-time export, not a live CRM connection.) 
Apexlint Start here Real linter backend AI ops-code review Your agent wrote Apex at 2am. Who reviewed it? Deterministic lint of agent-generated Apex / Flow / n8n before it hits production — SOQL-in-loop, missing bulkification, no error handling. 
Tracewell Start here Real analysis backend AI observability The flight recorder for AI agents. Reads a failed agent run down to the token — tool-call timeline, cost per node, the prompt regression that caused it. 
Funnelguard Real linter backend RevOps / lifecycle Your funnel is lying to you. Catches the broken UTM, the orphaned form, the lifecycle-stage contradiction before they corrupt the funnel. 
Forager Real import backend AI-native proof Your tribal knowledge is in Slack. Stop pretending the wiki has it. Upload a real Slack export and the backend harvests resolved threads into a queryable, confidence-scored knowledge base server-side. (MCP panel shows the tool contract — a simulation, not a live MCP server.) 
Inboxward Live DNS backend GTM / RevOps 200 sending domains. 47 are in trouble. You don't know which. Runs live SPF / DKIM / DMARC inspection on any domain you enter, then layers synthetic-fleet blacklist and inbox-placement scenarios with auto-prioritized remediation.