Here’s a tight, engineer-ready plan you can hand to a team and start building now.

Here’s a tight, engineer-ready plan you can hand to a team and start building now.

Mark-as-a-Service (MaaS) — Product & Build Playbook

0) What we’re selling

• A specialized expert agent (Node.js, canonical services, Kafka EDA, TMF-style scaffolds, DevOps playbooks) that mirrors your style and decisions.

• Delivered as:

• Chat/CLI/IDE copilot (VS Code, JetBrains)

• Slack/Teams bot for squads

• REST/gRPC endpoint for automations and CI

• On-prem Helm chart for security-sensitive clients

1) Core capabilities

• Architect brain: turns messy prompts (or Jira tickets) into scaffolds, ADRs, runbooks, Helm overlays, Kafka topics, Zod schemas, and Confluence pages.

• Schema factory: given docs/DB/OpenAPI → emits canonical JSON/Zod + service templates.

• Codegen: monorepo generators for TMF-like microservices (controllers/routes/validators/events/tests).

• RAG with citations: answers are grounded in your corpus with inline sources.

• Style memory: consistent tone, naming, folder patterns, API conventions.

• Guardrails: prompt injection defenses, secrets hygiene, and “don’t hallucinate APIs” checks.

2) High-level architecture

• Base model: modern open-source LLM (7B–70B) variant for controllability + cost control.

• Instruction-tuning (LoRA/QLoRA) on synthetic Q&A pairs derived from your writings, code, ADRs—not on chain-of-thought.

• RAG layer: vector index (pgvector/Weaviate/Chroma) over:

• Blog posts, Confluence, READMEs, code snippets, snippets of TMF specs, Terraform/Helm, Kafka patterns.

• Tools/agents (limited, auditable):

• File scaffolder, schema parser, OpenAPI→Zod converter

• Markdown→PDF export

• Git template generator (commit messages, PR descriptions)

• Policies/filters: content filters, license guard, “citation-required” for risky claims.

• Delivery:

• SaaS multi-tenant API

• On-prem Helm chart with GPU/CPU profiles

• VS Code extension + Slack bot

3) Data pipeline (your “brain upload”)

1. Ingest (read-only):

• Confluence exports, Git repos, blog/Wix exports, zipped playbooks, PDFs, diagrams, sample zips we generated here.

2. Normalize:

• Convert to Markdown; split into 1–2k-token chunks; attach metadata (repo, path, date, license).

3. Ground truth sets:

• Curate 200–600 “golden answers” (design decisions, do/don’t rules, scaffolding recipes).

4. Synthetic Q&A:

• Auto-generate Q&A from docs; human spot-check ~10–20%.

5. Index:

• Embed + store in vector DB; keep a small keyword index (BM25) for exact matches.

4) Fine-tune vs. RAG policy

• RAG for facts/process (keeps it fresh and cite-able).

• Light LoRA fine-tune for behavior (your voice, your folder conventions, your “defaults”).

• Update rhythm: refresh the index frequently; re-tune only when your doctrine changes.

5) Tooling surface (what the agent can do)

• scaffold:microservice → monorepo service with routes/controllers/validators/events/tests.

• scaffold:schema-pack → JSON Schema + Zod + topics from OpenAPI/DB/doc.

• author:adr → ADR with context + tradeoffs.

• author:confluence → longform doc + ToC + diagrams (Mermaid).

• ops:helm-overlay → env overlays and sane defaults.

• ci:gitlab → pipeline YAML template based on repo type.

• eda:kafka-topics → topic naming + key/partition strategy.

6) Interfaces & packaging

• REST /v1/ask, /v1/scaffold, /v1/doc

• Slack bot /design, /scaffold, /explain

• VS Code commands: “Explain file,” “Generate service,” “Fix Dockerfile,” “Add Zod validators”

• Helm chart values: model size, GPU, max context, enable_tools, data mount, allow_external_net=false (default)

7) Security & IP

• Content whitelists: only ingest what you own/have rights to.

• PII filter on ingest + on output.

• License scanner (e.g., FOSSA/trivy) blocks copying from licensed corpora into client deliverables.

• Air-gapped on-prem option for healthcare/finance.

8) Quality system (so it’s truly “Senior Mark”)

• Golden tasks suite (100–300 realistic prompts): must pass to ship.

• Style checks: folder names, code style, test scaffolds present.

• Hallucination score: require citations for nontrivial claims.

• Secure prompt tests: injection, bad links, “make network calls” attempts → blocked.

9) SKUs & pricing model (positioning)

• Team Starter (seat): Slack + VS Code, shared SaaS model, fair-use tokens.

• Pro (seat + tool): adds scaffolders, CI templates, limited on-prem connector.

• Enterprise (org): on-prem Helm, SSO, private model, SLAs, custom fine-tunes.

• Advisory hours: premium—your time for model steering + domain curation.

(You can anchor price “per junior engineer” and make ROI obvious: faster scaffolds, fewer reworks, documented decisions.)

10) MVP build checklist

• Select base model & hosting (open-source family; GPU or high-RAM CPU path).

• Stand up vector DB + embedding pipeline.

• Ingest & index: Confluence/Blogs/Repos (export → normalize → chunk → embed).

• Generate 200–600 synthetic Q&A; curate top 100.

• Light LoRA fine-tune on behavior/style.

• Implement tools: scaffold:microservice, scaffold:schema-pack, author:confluence.

• Build REST API + Slack bot + VS Code extension scaffold.

• Add policy layer (secrets/PII/license guard) and “citation required” middleware.

• Create Golden Tasks test harness; wire to CI.

• Ship a reference deployment (Helm chart) and one live demo repo.

11) Example configs

Persona profile (YAML)

persona:

  name: "Mark Kendall — Architect"

  domains: ["nodejs", "kafka-eda", "tmf-like", "k8s", "confluence-docs"]

  voice:

    tone: "direct, practical, slightly playful"

    rules:

      - "Prefer scaffolds over essays"

      - "Always produce folder structures"

      - "Default to Zod, Kafka, Helm overlays"

  decisions:

    - "Event-first unless strict sync required"

    - "Cite sources when unsure"

    - "Never invent APIs without flags"

defaults:

  repo_layout: "monorepo-flat"

  validation: "zod"

  topics_prefix: "canonical."

Tool contract

{

  "tools": [

    {

      "name": "scaffold_microservice",

      "args_schema": {

        "serviceName": "string",

        "schemaPath": "string",

        "transport": "http|kafka",

        "tests": "boolean"

      },

      "returns": { "zipPath": "string", "manifest": "object" }

    }

  ]

}

Golden task (sample)

- id: tmh-patient-service

  prompt: "Generate healthcare Patient service from tmh101-patient.yaml; include routes, validators, events, tests."

  asserts:

    - "routes include POST/GET /patients"

    - "validators use Zod for patientId, dateOfBirth"

    - "events include patient.created|updated"

    - "manifest lists Helm overlays"

12) Brand & story

• Name the product line: Kendallsoft TeamBrain™ with Mark-as-a-Service persona packs.

• Tagline: “Conquer the schema, conquer delivery.”

• Promise: senior-level outputs on day one, documented and repeatable.

⸻

Bottom line

it’s cool, viable, and productizable. You’re not selling hours; you’re selling a replicable expert system that makes teams shippier. Lock the voice + doctrine with a light tune, ground it in your corpus with RAG, wrap it in toolchains your buyers already use, and give them on-prem when they’re regulated.