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With AI, Everyone is a Dev. EveryDev.ai ©
    1. Home
    2. Developers
    3. Cobus Greyling

    Cobus Greyling

    Cobus Greyling is an individual AI evangelist, writer, speaker and open-source creator focused on language, AI agents, agentic systems, conversational AI design, and data-centric development. His current independent work packages practical operating patterns for reliable, governed AI-agent automation and publishes explainers that make complex AI concepts actionable.

    Visit Website

    At a Glance

    2Tools Listed
    4Products
    123Tool Views
    9Capabilities
    Discussions
    South AfricaHeadquarters
    2026Est.
    1Employee
    Focus Areas
    AI Coding Assistants
    Prompt Engineering
    Agent Frameworks
    Multi-agent Systems
    Connect
    Latest News
    Loop-engineering repository continued its automated daily triage/run-log dogfooding and maintained a current 11.6k-star reference implementation.Oct 24, 2026
    Automated daily triage updated STATE.md and the run log in the loop-engineering repository.Oct 23, 2026
    Markets
    • Software engineers and platform teams building agent-assisted development workflows
    • Open-source maintainers and GitHub-based teams
    • Teams using Claude Code, Codex, Grok, OpenClaw, Opencode or GitHub Actions
    • Enterprises evaluating AI agents, conversational AI and governance
    • +1 more

    AI Tools by Cobus Greyling

    (2)
    View Templates for Grok Bot
    Templates for Grok Bot tool icon

    Templates for Grok Bot

    Open Source Grok Bot Templates

    Prompt TemplatesAgent Skill Reg.Multi-agent Systems
    View Loop Engineering
    Loop Engineering tool icon

    Loop Engineering

    AI Coding Agent Orchestration Kit

    Agent FrameworksPrompt EngineeringAI Coding Asst.

    Discussions

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    Be the first to start a discussion about Cobus Greyling

    Latest News

    10/24/2026

    Loop-engineering repository continued its automated daily triage/run-log dogfooding and maintained a current 11.6k-star reference implementation.

    github.com
    10/23/2026

    Automated daily triage updated STATE.md and the run log in the loop-engineering repository.

    github.com
    10/10/2026

    Loop-engineering documented and enforced stronger guardrail evidence, prompt-injection defenses and untrusted-input handling.

    github.com
    08/29/2026

    Grok Bot Templates 1.1.0 shipped installer-first distribution, machine APIs, raw PROFILE copying and Bot Ready score badges.

    raw.githubusercontent.com

    Products & Services

    4
    Loop Engineering
    2026-06-09

    Open-source, tool-agnostic reference implementation and pattern catalog for production agent loops. It provides scheduling, triage, durable state, worktree isolation, implementer/verifier separation, MCP/connectors, human approval gates, budgets, run logs and a 0–100 Loop Ready audit.

    @cobusgreyling/loop

    The npm/CLI front door for loop-engineering; `npx @cobusgreyling/loop init` scaffolds a loop and `doctor` checks it. Related tools include loop-init, loop-audit, loop-cost, loop-worktree, loop-sync and an MCP server.

    Templates for Grok Bot
    2026-08-29

    An MIT-licensed catalog and CLI of copyable Grok Bot operating contracts: 49 templates, 10 teams, 47 skills and 8 routines, with START.md installer flow, machine-readable APIs and Bot Ready scoring.

    AI, Agents and Loop Engineering writing

    Ongoing essays, technical explainers and talks published through Cobus Greyling's Substack, Medium, personal site and Kore.ai technical blog, covering LLMs, RAG, conversational AI, agents, governance and harness/loop engineering.

    Market Position

    Greyling positions his work as a practical, open-source and tool-agnostic alternative to ad-hoc prompting and unmanaged agent autonomy. Loop Engineering emphasizes durable state, verification, worktree isolation, cost controls and human approval; its conceptual alternatives include Claude Code loops/routines, OpenAI Codex automations, OpenClaw-style agent workflows and other agent-orchestration or prompt-template catalogs. Templates for Grok Bot differentiates through explicit operating contracts, schema validation, autonomy levels, plugin boundaries and a measurable Bot Ready score.

    Leadership

    Founders

    CG

    Cobus Greyling

    AI Evangelist and Chief Evangelist at Kore.ai; writes and speaks about LLMs, AI agents, agentic systems, conversational AI, and enterprise adoption. He is an open-source contributor and prolific author on Medium, Substack and Kore.ai's technical blog, and has been quoted by Forbes, Fast Company and MIT Technology Review.

    Executive Team

    CG

    Cobus Greyling

    Founder and Lead Developer

    Prolific AI researcher and evangelist specializing in agentic workflows and conversational AI.

    Founding Story

    Greyling's stated focus is to help people and enterprises understand and adopt AI, agents and language technologies without losing control. Loop Engineering grew from his June 2026 writing about moving beyond turn-by-turn prompting: engineers design repeatable systems that discover work, delegate to agents, verify outputs, persist state and retain human gates.

    Business Model

    Revenue Model

    The identified independent projects are open-source and MIT-licensed, distributed through GitHub, GitHub Pages and npm/npx. No paid subscription, API-usage model or commercial pricing for Greyling's own projects was identified; Greyling's professional role and writing/speaking are separate from the open-source project distribution.

    N/A (Open Source Project)

    Target Markets

    Industries & Segments
    • Software engineers and platform teams building agent-assisted development workflows
    • Open-source maintainers and GitHub-based teams
    • Teams using Claude Code, Codex, Grok, OpenClaw, Opencode or GitHub Actions
    • Enterprises evaluating AI agents, conversational AI and governance
    • Researchers, operations, sales, marketing and knowledge-work teams adopting AI teammates
    Use Cases
    • Automated daily repository and issue triage
    • PR review, CI failure remediation and post-merge cleanup
    • Dependency and CVE sweeping with human gates
    • Issue deduplication, scoring and labeling
    • Changelog and release-note drafting
    • Deploying governed AI teammates for engineering, research, operations, sales, marketing and personal workflows
    Notable Customers
    • Open Source Community

    Quick Facts

    Headquarters
    South Africa
    Founded
    2026
    Entity Type
    Open Source Project / Individual Initiative
    Employees
    1
    Total Funding
    Self-funded / Open Source
    Office Locations
    Remote

    History & Milestones

    2026-10-10

    Loop-engineering strengthened its evidence-based readiness model and safety controls, including recorded guardrail drills, prompt-injection defenses and untrusted-input handling in the repository's documented updates.

    2026-08-29

    Released Grok Bot Templates 1.0.0, its initial public catalog of machine-validated Grok Bot operating contracts, CLI, teams, skills, routines and Bot Ready scoring.

    2026-08-29

    Released Grok Bot Templates 1.1.0 with installer-first distribution, raw PROFILE copying, machine APIs and score badges.

    2026-08-28

    Loop-engineering's activation work converted repository stars into a runnable loop, introduced a thin-loop GitHub Action starter and documented @cobusgreyling/loop 0.2.0, loop-init 1.7.0 and loop-audit 1.9.0 versions in the associated commit.

    2026-07-28

    Published 'Loop Engineering is Agent Lite', framing the approach as recurring AI work with human oversight rather than unrestricted autonomy.

    Key Capabilities

    9
    Eight documented production loop patterns, including PR Babysitter, Daily Triage, CI Sweeper, Post-Merge Cleanup, Dependency Sweeper, Issue Triage and Changelog Drafter
    Five core primitives plus memory: scheduling, worktrees, skills, connectors, sub-agents and durable state
    Maker/checker separation with implementer and verifier agents
    Human gates, autonomy levels L1 Report Only through L3 Unattended, kill switches and denylist safety policies
    STATE.md, structured run logs, token budgets and cost observability
    Loop Ready readiness scoring from 0 to 100 and CI audit comments

    Integrations & Partnerships

    Platform Integrations

    • Claude Code
    • OpenAI Codex
    • Grok / Grok Bot
    • OpenClaw
    • Opencode
    • GitHub Actions
    • GitHub, Git worktrees and pull requests
    • MCP connectors

    Key Partnerships

    Model Context Protocol (MCP)
    Integrations with Grok, Claude Code, and GitHub Actions

    Connect

    Website
    cobusgreyling.github.io/loop-engineering/
    GitHub
    cobusgreyling

    AI Topics

    6

    Cobus Greyling focuses on these topics:

    AI Coding Assistants(1)
    Prompt Engineering(1)
    Agent Frameworks(1)
    Multi-agent Systems(1)
    Prompt Templates(1)
    Agent Skill Registries(1)
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