[ work · proof stack ]

Proof, not promises.

Every system on this page either runs a paying client's business or runs ours. No slide decks. No case-study fiction. Click any of them — you'll land on the live product.

[ AI agent orchestration · own infrastructure ]

Forge

The AI workforce that runs Kompense, MarketingSoHigh, and Believele. 24 autonomous agents, cron-scheduled, coordinated over MCP.

engagement

Built to run our own portfolio. Not for sale — but every client Tier 2/3 system inherits pieces of this architecture.

what we built
  • —24 role-specialized agents (content, distribution, outreach, analytics, compliance) with tiered model access and few-shot grounding
  • —Custom MCP server exposing live production resources and tools — agents act on real state, not a mock
  • —Human-in-the-loop approval queue (approve / reject / defer / edit) with learnings recorded back into the system
  • —Zod-validated structured outputs with automatic retry on schema failure, plus Vercel Cron autonomy across 15+ scheduled jobs
outcome

Runs GTM operations — content, outreach, analytics, customer success — across three production companies without a human in the loop for routine work. Every outbound action still passes through an approval gate.

why this matters for you

This is what separates us from agencies that bolt a chatbot onto your CRM. We don't just prompt an LLM — we design agent systems with schema validation, human checkpoints, and real operational autonomy. Your Tier 2/3 build gets the same rigor.

[ competitive intel · live SaaS ]

Kompense

B2B competitive intelligence, checked daily. Track 100+ competitors across 20 signal types.

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engagement

Started as a £20k client build. We kept building. Now runs as a commercial SaaS.

what we built
  • —20 AI modules covering pricing changes, content releases, job postings, funding signals, review sentiment, and more
  • —Background crawler + enrichment pipeline on n8n + custom Python workers
  • —Operator dashboard with alert thresholds, snooze, and Slack/email delivery
  • —Multi-tenant architecture with workspace-scoped data isolation
outcome

Delivered original scope in 10 weeks, fixed-price. Client cut competitor research from ~10 hours per week to automated alerts — zero manual hours. System has been running without intervention since launch.

why this matters for you

Kompense is the template for every Tier 2 engagement we take. Same architecture, same quality bar, scoped to whatever your business tracks.

[ organic marketing · own operation ]

MarketingSoHigh

Content engine that plans, drafts, distributes, and measures organic output across 39 platforms.

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engagement

Built internally for our own marketing. We run it daily — the website you're on uses it.

what we built
  • —Four engines: keyword research, content drafting, image generation, cross-platform distribution
  • —22-platform distribution: SEO, Medium, LinkedIn, Twitter/X, Reddit, YouTube descriptions, newsletters, and more
  • —WordPress plugin that publishes directly into your own CMS
  • —Attribution pipeline to see which platforms drive traffic that converts
outcome

Runs Techno Believe marketing daily across 22 platforms. When engaged as a Tier 2 for a client, the system becomes their owned content ops — workflows, templates, and knowledge all transfer.

why this matters for you

If you've seen our blog and socials, you've seen MSH working. It's not a demo — it's how we operate.

[ career intelligence · live SaaS ]

Believele

AI-powered job search with a voice-based interview coach and an ATS resume optimizer.

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engagement

Built to prove our stack holds up outside enterprise workflows. Free to use, real daily users.

what we built
  • —Realtime voice AI for mock interviews with scored feedback on content, clarity, and structure
  • —Resume ATS analysis with role-specific keyword matching
  • —Job feed aggregation + AI-generated match scoring + one-click tailored applications
  • —Consumer-grade UX constraints — tested against messy real inputs, not curated demos
outcome

Live with real daily users running interview practice and resume optimization. Consumer-grade load, messy inputs, zero curation — the stress test that makes every enterprise build more robust.

why this matters for you

Proof that our AI systems work under consumer-grade load and messy input — not just clean enterprise workflows. If it works for job seekers typing from their phone at midnight, it works for your ops team.

[ the common thread ]

The same engineering. Every time.

These products weren't built to look good in a portfolio. They were built because we needed them (Forge runs our operations; MarketingSoHigh is our marketing ops) or because a client paid for the first version and we kept going (Kompense, Believele). Your engagement gets the same architecture, the same production quality bar, and the same people who shipped these.

We take 3 new partners per quarter.