Implementation BlueprintExecution layer

StrictLLM Permissioned Persona Rollout (6-8 days)

A delivery playbook for standing up StrictLLM as a governed multi-persona workspace for one client, with per-persona model routing, tool permission gating, and a sandboxed local MCP server so client data never leaves the desktop. Time: 6-8 days.

By InnovaAI ResearchPublished

AI Agents

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Blueprint

StrictLLM Permissioned Persona Rollout (6-8 days)

A delivery playbook for standing up StrictLLM as a governed multi-persona workspace for one client, with per-persona model routing, tool permission gating, and a sandboxed local MCP server so client data never leaves the desktop.

Prerequisites
  • A controlled desktop or VM for the pilot client, since StrictLLM runs as a desktop application and cannot be hosted as a shared client portal
  • API credentials for at least two providers (OpenAI, Anthropic, or OpenRouter) plus an Ollama install if the client wants local model fallback
  • Written inventory of the client's private data sources and the specific tools each persona is allowed to touch
  • Named client-side owner who will approve the Always Allow / Always Ask / Always Deny matrix before go-live
  • Budget approval for a StrictLLM plan: Starter at $29 monthly for 3 personas, or Pro at $79 monthly for unlimited personas and remote/mobile access
Execution Timeline
  • 1.Install StrictLLM on the pilot desktop and activate the license, confirming the 7-day offline grace period on Starter or full offline mode on Pro
  • 2.Connect OpenAI and Anthropic keys, then add Ollama as a local provider so the client sees a no-egress option
  • 3.Record baseline: which providers respond, latency per model, and whether offline activation holds after disconnecting the network
  • 1.Draft the persona roster with the client: role, system prompt, and assigned model for each persona
  • 2.Map every tool the client wants reachable to an Always Allow, Always Ask, or Always Deny decision
  • 3.Confirm the persona count fits the plan tier, since Starter caps at 3 personas and Pro removes the cap
  • 1.Build personas in StrictLLM with custom system prompts and per-persona model assignment
  • 2.Configure @mention chaining so a research persona can hand output to a drafting persona in one thread
  • 3.Test each persona in isolation before any tool permissions are switched on
  • 1.Stand up one local MCP server against a read-only copy of client data and sandbox it in an isolated Podman container
  • 2.Attach the MCP server to the relevant persona and set its tool permissions to Always Ask for the first pass
  • 3.Verify the container cannot reach anything outside its declared scope
  • 1.Run the client's real workflow end to end through the persona chain with permissions live
  • 2.Log every Always Ask prompt the operator sees and note where the gate interrupts flow versus where it catches a genuine risk
  • 3.Tune the matrix: promote low-risk read tools to Always Allow, keep write and export tools on Always Ask
  • 1.Write the operating runbook: persona switching, prompt conventions, offline operation, and what to do when a provider key fails
  • 2.Train the client's staff on the permission prompts so they understand what each approval means
  • 3.Hand over the permission matrix as a signed-off document the client owns
  • 1.Shadow one full working day with the client team answering escalations only
  • 2.Capture the audit trail of tool actions for the client's compliance contact
  • 3.Fix any persona prompt that produced off-scope output
  • 1.Deliver the final configuration export and runbook, then set the retainer cadence for persona and permission reviews
  • 2.Agree the upgrade trigger: if the client needs more than 3 personas or remote/mobile access, move them from Starter to Pro
$29 to $79 per month in StrictLLM licensing during the pilot, plus provider API usage billed separately by OpenAI, Anthropic, or OpenRouter; local Ollama inference carries no per-token cost. Position the engagement fee at $2,250 to $4,500 depending on persona count and MCP scope.6-8 days
ROI Logic

StrictLLM licensing is a rounding error against the delivery fee: Starter runs $29 monthly and Pro $79 monthly, so a single $2,250 engagement covers more than two years of Pro at list price. The margin sits in the configuration labor (persona prompts, permission matrix, MCP sandboxing) that the client cannot do themselves, and the permission review cadence converts into a recurring retainer. Enterprise pricing is custom and adds audit logs, which is the natural upsell once a client's compliance team asks for exported action records.

Deliverables
  • Persona roster document listing each persona's role, system prompt, and assigned LLM provider
  • Signed tool permission matrix mapping every tool to Always Allow, Always Ask, or Always Deny
  • Sandboxed local MCP server configuration with its Podman container scope documented
  • Operator runbook covering persona switching, @mention chaining, offline operation, and provider failover
  • Tool action audit trail exported for the client's compliance contact
Definition of Done

The client's staff can run their workflow through the StrictLLM persona chain unaided, every tool call resolves against the signed permission matrix, and the sandboxed MCP server has been verified to reach nothing outside its declared scope.

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