# The Agentic Company

Guides, tools, and reviews for companies becoming AI-first: agentic workflows, automation, product comparisons, and the explainers that make them work.

Our articles help existing companies move to agentic work. Start with one workflow, rethink roles and training, then build and test the systems that support the change.

## Latest articles

- [My Personal AI Agent Became My Development Harness](https://agntc.work/blog/personal-ai-agent-development-harness.md): I started with a personal AI agent for scheduling, email and price checks. Then I built software with it from WhatsApp: it manages code on GitHub and deploys to Vercel and Cloudflare. The shift was not a new tool but a new use of one I already trusted, and it raised the question of what a company would need before working this way.
- [Personal AI Assistant for Work and Personal Life](https://agntc.work/blog/personal-ai-assistant-work-and-personal-life.md): One personal AI assistant for both work and private life is the wrong target: it concentrates untrusted input, sensitive data and external communication in one place. Two walled assistants with a narrow, consented bridge between them get most of the value at a fraction of the risk.
- [Team Memory for AI Agents: What to Share, What to Verify](https://agntc.work/blog/team-memory-for-ai-agents-what-to-share-what-to-verify.md): Team memory for AI agents is a shared record of useful decisions and definitions, not a pooled transcript. I would keep personal context private, changing facts in their source systems, and important shared memories tied to a source, an owner and a correction path. The tool matters after those boundaries are clear.
- [Human-in-the-Loop AI Approval That Actually Binds](https://agntc.work/blog/human-in-the-loop-ai-approval-that-actually-binds.md): Human-in-the-loop AI approval needs two independent protections: a person must understand the proposed action, and the system must execute only that approved action. Bind review to a complete, immutable payload, reject changes at execution, and design the review screen around consequences, evidence, and a real option to stop.
- [How to Transition an Existing Company to Agentic AI](https://agntc.work/blog/agentic-company-roles-org-chart.md): To move an existing company toward agentic work, start with one end-to-end process, name its human owner, and redesign the tasks around a product or service builder, specialist experts, and bounded agents. Train current managers to own outcomes and exceptions, give employees a paid path to learn the new work, then choose embedded builders or a shared operations group. Hire for demonstrated gaps and decide on redundancies only after the new workflow is measured.
- [AI Workslop Is an Org Design Problem](https://agntc.work/blog/ai-workslop-org-design.md): AI workslop is polished output that shifts unfinished thinking and verification to someone else. Smaller teams that own an outcome end to end, plus standards checked before handoff, can reduce that transfer. This is an organizational design proposal, not a proven cure.

## Topics

- [Automation & Agentic Workflows](https://agntc.work/category/automation/) (1 article): Agent workflow design, human-on-the-loop orchestration, and ROI models for automating real operations.
- [Memory & Company Brain](https://agntc.work/category/memory/) (3 articles): Context engines, permission-aware retrieval, company brains, and memory layers for enterprise agents.
- [Security & Governance](https://agntc.work/category/security-governance/) (4 articles): RBAC for agents, data-leakage prevention, auditing, and compliance for enterprise AI.
- [Agent Protocols & Interoperability](https://agntc.work/category/agent-protocols/) (1 article): MCP, A2A, tool integration, and multi-agent routing patterns that connect agents to your systems.
- [Observability & Evaluations](https://agntc.work/category/observability-evals/) (2 articles): Tracing, evaluations, guardrails, and reliability data for agents in production.
- [Platforms, Tools & Reviews](https://agntc.work/category/platforms-tools/) (1 article): Scored product reviews, head-to-head comparisons, and ranked roundups of the agent stack.
- [Cost, Latency & Model Routing](https://agntc.work/category/cost-performance/) (2 articles): Token spend, cost-per-outcome, latency budgets, and model routing decisions.
- [AI-First Operations](https://agntc.work/category/ai-first-operations/) (4 articles): Org design, rollout, process change, and adoption for becoming an AI-first company.

## Key pages

- [All articles](https://agntc.work/blog/)
- [About](https://agntc.work/about/)
- [Contact](https://agntc.work/contact/): hello@agntc.work
- [llms.txt](https://agntc.work/llms.txt): machine-readable index of all articles
- [RSS feed](https://agntc.work/rss.xml): full-text feed
- [JSON article index](https://agntc.work/api/index.json)
- [Sitemap](https://agntc.work/sitemap-index.xml)