How to Set Up OpenClaw for Content Automation Workflows (2026)
A practical 2026 guide to using OpenClaw for content automation workflows: install and secure the gateway, add cron jobs, task flows, webhooks, and a maintainable editorial pipeline.
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Articles tagged under setup-guides on Open-TechStack.
A practical 2026 guide to using OpenClaw for content automation workflows: install and secure the gateway, add cron jobs, task flows, webhooks, and a maintainable editorial pipeline.
A practical 2026 guide to running self-hosted AnythingLLM with OpenAI: Docker setup, LLM and embedder configuration, document ingestion, attached files vs RAG, multi-user access, and when to add agents or MCP.
A practical 2026 guide to setting up LibreChat with OpenAI and MCP servers: Docker install, API key patterns, MCP in chat vs agents, and the production mistakes most teams hit first.
A practical Obsidian workflow that turns notes into decisions, drafts, and shipped outputs without clutter.
A practical 2026 guide to running Open WebUI with both local Ollama models and hosted OpenAI models: install the stack, connect both providers, avoid common networking mistakes, and choose the right path for each workflow.
A practical 2026 setup guide for wiring the OpenAI Agents SDK to MCP servers, choosing between hosted and self-managed transports, and adding approval gates that can pause, review, and resume runs safely.
A practical 2026 guide to Vercel AI Gateway: API key or OIDC auth, OpenAI-compatible setup, provider routing, fallbacks, and when to use it instead of direct provider SDKs.
A practical 2026 guide to installing Hermes Agent for local automation workflows: one-line setup, model configuration, local dashboard, cron jobs, MCP wiring, and the operational mistakes to avoid first.
A practical LiteLLM setup guide for 2026: one OpenAI-style endpoint across OpenAI, Anthropic Claude, and Google Gemini, with routing, fallbacks, budgets, and the production caveats that matter.
Open-source implementation guide for llm deployment guide — part 2 (cloud vs on-prem) with repo shortlist, rollout plan, and production checks.
If your agent can call tools, you need traces. Here is a practical, low-drama way to instrument LLM apps with OpenTelemetry, ship OTLP to a collector, and keep the door open to Phoenix or vendor dashboards.
MCP’s new “elicitation” feature gives tool-using agents a standard way to pause, ask the user, and only then proceed—without inventing fragile confirmation prompts.
A step-by-step, production-minded migration guide from /v1/chat/completions to /v1/responses: request shape, multi-turn state, tools, structured outputs, streaming, and the gotchas that bite.
A practical framework for building a lean AI stack that cuts overlap, reduces supervision cost, and improves real output quality.
OpenAI’s Promptfoo acquisition is a signal: if LLMs can act, your prompts need tests. Here’s a practical workflow for evals, regression checks, and red-team basics.