deepgrain.ai valid
Deepgrain
AI enablement for People and operations teams. Deepgrain maps how a function actually works, then builds the AI workflows, agents and team capability to run it. Read, Craft, Scale.
For agents: Deepgrain: AI enablement consultancy for People and operations teams, offering the Read, Craft, Scale method, AI workflows, agents and team training.
ai enablementpeople ops aiai training for business teamschatgpt trainingai workflows
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T02:47:11.265Z. Cached copy · Source on deepgrain.ai
# Deepgrain
> AI enablement for People and operations teams. Deepgrain maps how a function actually works, then builds the AI workflows, agents and team capability to run it. Read, Craft, Scale.
Last updated: 2026-10-17
Articles: 51
Canonical: https://www.deepgrain.ai/llms.txt
Sitemap: https://www.deepgrain.ai/sitemap.xml
Deepgrain is led by Matthew Bradburn. We work with founders and operating leaders building AI-native, defence, financial data, transit, and climate companies. The practice combines diagnostic depth, craft-level intervention, and the discipline to scale interventions without breaking the operating grain.
Articles within each category below are listed in foundational reading order (oldest first), so concepts build on each other.
## Core pages
- [Home](https://www.deepgrain.ai/): Overview of the Deepgrain practice and method.
- [Method](https://www.deepgrain.ai/method): The Read, Craft, Scale method explained in full.
- [Work](https://www.deepgrain.ai/work): Case studies across defence tech, financial data, transit, and climate.
- [Enablement](https://www.deepgrain.ai/enablement): Coaching, champions, and the curriculum that builds lasting capability.
- [People Ops AI guide](https://www.deepgrain.ai/intelligence/pillar/people-ops-ai): The complete guide to AI for People and HR teams: where it fits, the assistants and agents worth building, governance, and where to start.
- [AI training for business teams](https://www.deepgrain.ai/ai-training-for-business-teams): Practical ChatGPT and Claude training for commercial and operations teams, from work audit to 30-day landing plan.
- [About](https://www.deepgrain.ai/about): Matthew Bradburn's background, philosophy, and references.
- [Contact](https://www.deepgrain.ai/contact): How to start a conversation.
- [Intelligence](https://www.deepgrain.ai/intelligence): Long-form essays on operating systems, AI readiness, and the craft of operating leadership.
- [Intelligence pillars](https://www.deepgrain.ai/intelligence/pillars): Pillar hubs grouping related articles into deep topic clusters.
- [Brain](https://www.deepgrain.ai/brain): The People Ops AI Brain, nine working notes on running People functions with AI. Free with email.
## Intelligence: Deepgrain Foundations
### Leadership & Craft
[Browse category](https://www.deepgrain.ai/intelligence/category/leadership-and-craft)
- [The craft mindset for modern operators](https://www.deepgrain.ai/intelligence/the-craft-mindset-for-modern-operators): Operating excellence is a craft, not a personality you hire for. The craft mindset for People and ops teams: masters, apprentices, tools and standards.
- [Founder-mode vs operator-mode](https://www.deepgrain.ai/intelligence/founder-mode-vs-operator-mode): Founder-mode vs operator-mode is not a personality test. They are postures People and ops leaders switch between, and reading the moment is the executive job.
- [What CTOs get wrong about scale](https://www.deepgrain.ai/intelligence/what-ct
…
Related sites
Find similar publishers by meaning →
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=deepgrain.ai · GET /v1/domain/deepgrain.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage deepgrain.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- See your website in the map
Review your indexed topics, nearby publishers sharing headings, measured listing exposure and map snapshots in a private report for your website.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for deepgrain.ai:
1. POST https://agentwebmap.com/v1/sites/deepgrain.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://deepgrain.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/deepgrain.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/deepgrain.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.