A framework for building AI agent systems. Seven rungs, each building on the last. Most organizations are somewhere on this ladder.
Each rung increases the agent's autonomy. Enter wherever you are.
Wire your tools to the AI layer. Project environment, MCP servers, guardrails.
Multi-step task execution with human checkpoints. The agent does real work.
Team-facing interface in Slack. The agent's capabilities accessible to everyone.
Scheduled and event-driven execution. Work runs without a human initiating it.
Persistent memory. Decision logs, entity memory, institutional knowledge.
Feedback loops and self-optimization. The agent converges on your standards.
Audit trail, permission boundaries, cost tracking. Full accountability.
The agent can only act on systems it can reach. This rung establishes the project environment and wires up the tool layer.
CLAUDE.md defines the agent's identity, rules, and domain knowledge. Custom commands and guardrails give every team member the same starting point.
MCP servers expose specific actions from your CRM, databases, and APIs. Pre-built connectors for common tools. Custom servers for tighter scope and lower token cost.
The agent receives a job, breaks it into steps, executes them, and returns finished work. This is where AI goes from answering questions to doing work.
The agent decomposes a job, calls tools in sequence, delivers structured output. Skills files define task types and scope which tools are accessible.
Read-only actions execute automatically. Write actions pause for confirmation. The boundary between autonomous and supervised is configurable per task type.
A conversational interface in the tools the team already uses. The agent's capabilities from rungs 1-2 become accessible to anyone in the organization.
A Slack bot backed by the full tool layer. Team members query data, trigger workflows, and delegate tasks from any channel. No individual subscriptions needed.
Longer tasks run in the background. The team member gets a notification when done, with results posted in-thread.
Work executes without a human initiating it. Two trigger types: time-based (cron) and event-based (webhooks).
Recurring jobs on cron. Claude Code scheduled tasks for AI reasoning. Standard cron for deterministic API work. Don't burn tokens on mechanical jobs.
Webhooks catch events across the stack. Deterministic logic handles mechanical parts. Claude invoked only when reasoning is needed. Keeps costs predictable.
The team creates, modifies, and cancels scheduled jobs from Slack using natural language. No code changes required to adjust timing or add new jobs.
Without persistent memory, every agent session starts from zero. This rung gives the agent a durable knowledge layer that accumulates over time.
Structured record of what the agent did, why, what alternatives it considered, what the outcome was. Searchable across sessions. The agent reads its own history before acting.
Per-client, per-project memory. Preferences, interaction history, working style. Auto-updated after every interaction.
Process definitions, onboarding procedures, tribal knowledge that exists only in people's heads. Captured in structured files the agent can reference during task execution.
Two feedback mechanisms that cause the agent's performance to converge on organizational standards over time.
Team reacts to agent output in Slack. Corrections are captured, batch-reviewed, and distilled into permanent skill file updates. The agent converges on what the team wants.
Execute, measure, tweak instructions, re-run, keep or revert. One agent, one skill file, one measurable outcome. Works on anything with a quantifiable signal.
As the agent takes on more autonomous work, the organization needs visibility into what it's doing, what it's allowed to do, and what it costs.
Every tool call logged with timestamp, input, output, and reasoning chain. Filterable by agent, task type, date range, entity. Immutable write-once storage.
Role-based access control at the tool level. Per-agent, per-workflow, per-client. A sales agent reads CRM contacts but can't access financial records.
Token spend attributed per workflow, per team member, per client. Budget caps with automatic pause. Spend alerts at configurable thresholds.
Real-time cost attribution dashboard. Monthly spend reports. ROI tracking by workflow. Historical trending to identify cost drift before it becomes a problem.
If you want to talk through where your organization sits on the ladder, we're available for a conversation.
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