@fivosaresti: ‘Service-as-a-software’ is here... We moved our entire company brain to GitHub and wired 25+ tools through MCPs. Any on…

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ai-native gtm markdown-os mcp ai-assistant contextual-ai company-os

Summary

Fivos Aresti announces that his company has moved its entire operational knowledge to GitHub, connecting 25+ tools via MCPs to spin up contextual AI assistants instantly. The system features a markdown-based company OS, automated context propagation, self-improvement engines, and strict operating principles.

‘Service-as-a-software’ is here... We moved our entire company brain to GitHub and wired 25+ tools through MCPs. Any one of our 20+ team members can now spin up a contextualized AI assistant in seconds. The system has 5 layers: 1. Markdown company OS ↳ SOPs and campaign playbooks converted into .md files using research agents ↳ Most SOPs turned into agents that handle 70% of the task ↳ Output: 50+ actionable Claude skills 2. Context environment ↳ One Company OS GitHub repo propagated to every session via org-wide plugin ↳ Each client gets their own repo with Slack DMs, call transcripts, GDrive changes, and campaign data auto-synced through n8n ↳ Zero configuration needed per session 3. MCPs ↳ 25+ tools connected including InstantlyAI, HeyReach, Apollo, HubSpot, Slack, Notion, n8n, Supabase, Pinecone, Browserbase, Apify ↳ Not just research. Action through AI. ↳ We went from researching work to actually doing it 4. Self-improvement engines ↳ Pinecone database stores 1000s of LinkedIn posts and outbound campaigns with performance metrics ↳ Copywriting skills query this data to find winning formats to reuse ↳ Human corrections get fed back in so the system gets sharper over time 5. Operating principles ↳ Every repo has a safeguard file that prevents certain operations ↳ 100% AI outputs are not acceptable, everyone owns their work and every mistake ↳ Agent swarms split one task into 5-20 sub-agents when needed Our goal is to become the most advanced AI-native services company for our niche (GTM).
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Cached at: 06/10/26, 11:51 AM

‘Service-as-a-software’ is here…

We moved our entire company brain to GitHub and wired 25+ tools through MCPs.

Any one of our 20+ team members can now spin up a contextualized AI assistant in seconds.

The system has 5 layers:

  1. Markdown company OS ↳ SOPs and campaign playbooks converted into .md files using research agents ↳ Most SOPs turned into agents that handle 70% of the task ↳ Output: 50+ actionable Claude skills

  2. Context environment ↳ One Company OS GitHub repo propagated to every session via org-wide plugin ↳ Each client gets their own repo with Slack DMs, call transcripts, GDrive changes, and campaign data auto-synced through n8n ↳ Zero configuration needed per session

  3. MCPs ↳ 25+ tools connected including InstantlyAI, HeyReach, Apollo, HubSpot, Slack, Notion, n8n, Supabase, Pinecone, Browserbase, Apify ↳ Not just research. Action through AI. ↳ We went from researching work to actually doing it

  4. Self-improvement engines ↳ Pinecone database stores 1000s of LinkedIn posts and outbound campaigns with performance metrics ↳ Copywriting skills query this data to find winning formats to reuse ↳ Human corrections get fed back in so the system gets sharper over time

  5. Operating principles ↳ Every repo has a safeguard file that prevents certain operations ↳ 100% AI outputs are not acceptable, everyone owns their work and every mistake ↳ Agent swarms split one task into 5-20 sub-agents when needed

Our goal is to become the most advanced AI-native services company for our niche (GTM).

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