[ work · proof stack ]

Proof, not promises.

Every system on this page is one we built and run ourselves. 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. 40+ 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
  • —40+ 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 from a client brief. We built it out and now run it as our own 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

A working commercial product with a public demo workspace you can open without signing up. Built end to end by one engineer.

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 41 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
  • —41-platform distribution (34 publish automatically): LinkedIn, Bluesky, Mastodon, Dev.to, Hashnode, WordPress, newsletters, and more
  • —WordPress plugin that publishes directly into your own CMS
  • —Attribution pipeline to see which platforms drive traffic that converts
outcome

Publishes Techno Believe's own blog and content. 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

Our own idea, built to prove our stack holds up outside enterprise workflows. Free tier available.

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 on the web and on Google Play, with a free tier. Built against messy real-world input — job posts and CVs as people actually write them — not curated demos.

why this matters for you

Proof that our AI systems cope with 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 we saw a gap worth building for (Kompense, Believele). Your engagement gets the same architecture, the same production quality bar, and the same engineer who built these.

We take 3 new partners per quarter.