7 min readHermes Agent: what it is, what it isn't, and when to use it
Explain what Hermes Agent is and decide when to use it versus a plain chatbot for a real work task.
Going deeper. Tools, agents, automation, and prompt patterns for confident practitioners.
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7 min readExplain what Hermes Agent is and decide when to use it versus a plain chatbot for a real work task.
8 min readRun a safe Hermes first-week setup with curated memory, one reusable skill, bounded file writes, and tested terminal approvals or isolation.
7 min readDesign a Hermes webhook route and smoke-test its authentication, health check, single-purpose prompt contract, and configured delivery target.
8 min readChoose Hermes, n8n, or a hybrid handoff for a concrete workflow using an explicit decision framework.
8 min readConfigure n8n’s HTTP Request node to call a local OpenAI-compatible endpoint with credentials, measured timeout budgets, and a safe network boundary.
8 min readAdd idempotency keys, safe retry policy, human approval gates, and audit logging around n8n AI steps before enabling external side effects.
10 min readChoose and configure the correct n8n-to-Hermes surface, with explicit authentication, delivery semantics, idempotency boundaries, and failure behaviour.
9 min readInstall OpenClaw with a supported Node version, complete onboard, open the Control UI, and know what to secure before adding channels or tools.
8 min readConfigure OpenClaw DM pairing, allowlists, and group mention rules, and run a security audit before enabling high-risk tools.
10 min readConfigure OpenClaw skills and heartbeat with restrictive exec policy and a disabled-or-reviewed browser workflow before enabling unattended autonomy.
8 min readDecide whether a workload needs OpenClaw, Hermes, n8n, or a combination, without forcing one stack to fake the other’s job.
6 min readApply clear escalation triggers that move irreversible personal-finance decisions from chat tools to appropriately qualified or authorized professionals.
5 min readUse an escalation decision card to move from AI planning literacy to licensed trades, AHJ questions, and verified contracts without life-safety DIY.
5 min readRun a taste-preserving AI edit pass that improves craft without flattening voice.
5 min readDecide which public writing surfaces may use AI drafting help and which must remain human-voiced, with a refusal rule you can defend.
5 min readApply an escalation decision framework that routes high-stakes freelance questions away from AI-only answers.
8 min readCoordinate appointments, refills, forms, transport, questions, and follow-ups with clear ownership, without any model-inferred medical actions.
6 min readUse AI to compare texts or generate reflection questions while preserving community, tradition, and accountable interpretation.
8 min readChoose family and school practices that preserve choice, effort, voice, and responsibility as AI becomes ambient in a child's life.
7 min readIdentify which workplace-specific triggers create an actual AI disclosure requirement, versus the general authorship norm, and escalate correctly when a regulatory trigger applies.
7 min readBuild a family archive metadata schema that records consent, source provenance, and confidence level for every item, without letting AI-generated guesses get recorded as fact.
9 min readRun a decision through a fixed bias checklist and capture counter-evidence before commitment.
9 min readConvert a target capability into prerequisites, practice tasks, evidence, and review checkpoints, verified against real sources.
9 min readDesign a small capture-to-retrieval system around defined recurring needs, with retrieval tests, review dates, deletion rules, and an approved data boundary.
8 min readEvaluate an automation proposal for worker participation, retained judgement, skill development, workload, monitoring, accountability, and appeal alongside ROI.
7 min readAudit an automation estate and make an evidence-based keep, repair, simplify, or retire decision for every workflow.
8 min readPlan and hold an honest team conversation about automation before rollout, with decisions, open questions, commitments, and feedback routes made explicit.
7 min readSet an organisational media policy that preserves provenance where practical, discloses material AI use, and never treats credentials as proof of truth.
7 min readInstall three procedural controls for payment and account-change requests, brief staff, and rehearse the first response to an impersonation incident.
9 min readChoose the right human review pattern for an AI workflow and define approval, sampling, audit, escalation, and stop rules before launch.
10 min readDesign a multilingual AI workflow for customer support, sales, internal knowledge, or content localization with glossary control, review gates, and privacy boundaries.
11 min readTurn individual prompts into shared, versioned templates with owners, examples, and quality checks.
11 min readDesign repeatable AI workflows across tools without losing source of truth, privacy boundaries, or handoff quality.
10 min readChoose among chain-of-thought, self-critique, tree-of-thoughts, or a reasoning model based on problem shape and cost.
10 min readCompare reasoning configurations with an eligible baseline, prompt them clearly, and choose a route using task evaluations, service targets, and total cost.
9 min readA practical comparison of the three main automation platforms for AI workflows in 2026. What each is good at, where each breaks, and the decision rules for choosing without regret.
11 min readDesign a lead-triage agent with explicit tools, schemas, routing rules, logging, and human review.
11 min readA queue-evaluated reference design for support triage, retrieval, response drafting, controlled actions, and human escalation, with the policy and measurement boundaries needed for a safe pilot.
10 min readConnect AI to email, calendars, and CRMs with least privilege, approval gates, and audit trails.
10 min readBuild a document-grounded assistant and know when stale, low-quality, or out-of-scope sources make answers unsafe.
11 min readMost RAG implementations work poorly because they get three things wrong. A practical guide to chunking documents, reranking results, and combining keyword with semantic search — without becoming a search engineer.
10 min readConnect one official filesystem MCP server to a supported desktop client, verify its allowed root, and prove an outside-root request is denied.
11 min readBuild and evaluate a low-risk local prototype with synthetic data, version control, acceptance tests, and a clear engineering-review boundary.
10 min readInstall a local 7–14B model and decide which tasks stay local versus which still need a cloud frontier model.
10 min readBuild a gather–filter–synthesise–distribute briefing and improve it with measured reader feedback, source checks, and failure monitoring.
11 min readPick a short, stable browser or computer-use task, scope the agent tightly, and keep humans in the loop for consequential actions.
10 min readMap your LLM call types to model tiers, add fallbacks, and measure quality per route before cutting cost.
11 min readCreate a team adoption plan that covers use cases, training, governance, measurement, and rollout risk.
10 min readSet up research, drafting, SEO, repurposing, and distribution workflows with human review on strategy, voice, and publish.
11 min readBuild an outbound stack where research and message quality gate volume, with human review on replies and compliance.
10 min readMeasure whether an AI workflow is improving by using examples, rubrics, and regression checks.