Prompt, Skill, Memory, Agent
Understand the different jobs of prompts, skills, memory, tools, and agents so durable knowledge does not leak into the wrong layer.
Read guide →Monolith field manual / Open access
Build agents you can explain, control, and verify.
Plain-language guides for moving from ad hoc prompting to repeatable agent work. Start with the operating model, then add tools only where the job requires them.
All guides / 12 operating notes
From first setup to controlled execution.
Each guide answers one practical decision. No prompt-count theater, no universal compatibility claims, and no requirement to hand an agent unnecessary permissions.
Install SKILL.md Safely
Use a repeatable review process for SKILL.md packages, scripts, tools, network calls, permissions, prompt injection, and rollback.
Read guide →Beginner Setup Checklist
Set up a useful first agent with a bounded workspace, safe permissions, cost limits, approval gates, and three low-risk workflows.
Read guide →Hermes, OpenClaw, Claude Code
Compare Hermes, OpenClaw, Claude Code, claude.ai, and Copilot by workspace model, skill format, tools, approvals, and setup burden.
Read guide →Human Approval Gates
Design clear approval gates for sending, publishing, spending, deleting, deploying, credential use, and other consequential agent actions.
Read guide →Turn an SOP Into a Skill
Convert a business SOP into an agent skill by capturing decisions, examples, exceptions, tools, approvals, outputs, and acceptance tests.
Read guide →Agent Workflows for Freelancers
Use AI agents for meeting follow-up, proposals, delivery QA, research, and weekly planning while keeping client approval and confidentiality intact.
Read guide →Agent Workflows for Small Business
Apply AI agents to research, website updates, lead preparation, SOP capture, and reporting without handing over customer or financial decisions.
Read guide →Audit Skills for Prompt Injection
Find prompt-injection paths in skills, source data, tool output, remote content, memory, and approval logic before an agent touches real work.
Read guide →Control Agent Costs
Control AI agent spend with a zero-dollar default, task-based model routing, bounded retries, tool budgets, usage reviews, and approval before paid access.
Read guide →Choose Tools and Permissions
Choose the minimum AI agent tools and permissions needed for the job, then add write, network, and external actions only after focused tests.
Read guide →Free foundation
Turn the reading into a safe first setup.
Monolith Agent Ready converts the principles into a setup brief, safety gates, a cost-and-tools plan, and three first workflow specifications.
Get Agent Ready Free