Chris Ekai

Founder, | Helping professionals master Risk Management, BCM & GRC | Turning complex frameworks into practical playbooks

[Noel Ceta @noelcetaSEO]

Most link building: Begging for links.

Data-driven link building: Creating assets journalists and bloggers need to reference.

One original dataset earns more links in 6 months than 100 outreach emails.

Here's how to build links through data creation: 🧵👇

[Kai Cromwell | Shopify SEO @KaiCromwell]

How to hijack $3.4k from your biggest competitor.

1. Find your biggest competitor(s)
2. Create an article titled "{that Competitor} Alternatives}"
3. List yourself as the #1 alternative
4. List a few other companies as #2-x
5. Build a few links to it
6. Watch it rank for that competitor's branded terms

[Chris Ekai @chrisekai]

A LockBit ransomware breach hit Evolve Bank & Trust and affected ~7.6M customers. For community banks, the FFIEC Cybersecurity Assessment Tool is a frontline defense. Full walkthrough: https://t.co/YkfyBFn1Gs #RiskManagement #GRC #CyberRisk

[Chris Ekai @chrisekai]

@mikefutia SEO

[Miles Deutscher @milesdeutscher]

Anthropic posted a FULL GUIDE on how to prompt Fable 5 (Mythos).

Claude Fable 5 is not meant to be prompted like any other model.

It's meant to run autonomously.

Here's exactly how to enable Fable to do work for you with minimal manual intervention:

1. Effort selection

Anthropic recommends using High for most tasks and Xhigh only for complex workflows.

Low/medium: quick questions, basic research
High: default for most work
Xhigh: complex builds, multi-step analysis
Ultracode: full autonomous orchestration

2. /loop prompting

Use /loop prompts to kick Fable off to complete full tasks.

/loop <time interval> + <goal>

3. Tell it WHY, not just what (context)

Fable can't perform on instructions alone. It needs context to make decisions on its own.

Anthropic's exact prompting structure:

"I'm working on [larger task] for [who it's for]. They need [what the output enables]. With that in mind: [your actual request]."

4. Keep prompts short (instructions)

Counterintuitive but critical.

Over-engineering your prompts on Fable 5 degrades output. You're constraining a model that would have figured it out on its own.

4. Tell it when to stop and check in during runs

"Pause for me only when the work genuinely requires my input: a destructive action, a real scope change, or something only I can provide. Otherwise, keep going and report back when done."

5. Build it a memory system

Fable performs best when it can record lessons from its previous loops.

Give it a markdown file and this instruction:

"Store one lesson per file with a one-line summary at the top. Record corrections and confirmed approaches. Don't save what the repo or chat history already records."

The optimal general prompt structure:

"Goal: I'm working on [larger task] for [who it's for]. They need [what the output enables].

Request: [your specific ask in one sentence]

Output format: [exactly how you want it]

Constraints: [what must not happen]."

One last thing - your old prompts may actually work against you.

Skills and project instructions built for Opus 4.8 may produce worse results on Fable.

Bookmark this to actually maximize your Fable workflows.

[Bodhi- Local SEO @irentdumpsters]

Stop signing a year lease at a coworking space for your Google Business Profile.

Here is what we tell every client. Find a shared office space. Get the smallest room they have. Get verified with Google. Funnel all your reviews to that profile until you hit about 30.

Then cancel the membership.

Your profile stays live. Your reviews stay live. You just saved yourself 11 months of rent. If something ever goes wrong you just reopen the membership and handle it.

These coworking spaces are DYING for business right now. Covid is over. Nobody is renting. You can haggle them down to nothing. They need you more than you need them.

I have clients with 5 and 6 Google Business Profiles across different cities. Every single one is set up this way. That is how you dominate a market without buying a building in every city.

[Vox @Voxyz_ai]

fable 5 burns tokens fast but write the prompt like this and it's totally workable.

"to save tokens, keep this main session (fable 5) on planning and frontend tasks, its visual output and ideas are worth the price. for backend and heavier implementation, write a clear spec and dispatch to codex (gpt-5.5 xhigh) with /goal to execute, my quota there sits unused anyway. you may keep the hardest parts in this session."

a frontend design prompt i've been testing that works well:

redesign {your page, e.g. pricing page} for this project. full creative freedom, but it has to be visually striking and interactive, with motion effects and a hidden easter egg. search 2026 design trends first and use them.

[Flavio Amiel @fba]

Want better SEO rankings?

Here's an idea:

Connect your SEO agent to your Google Search Console and your Wordpress/Webflow.

Then plug you AI keys.

Let it find the underperforming pages via CTR and improve upon them testing things.

In a sense, a low CTR will need more internal links and a meta description and meta title rewrite that includes the right entities.

That's what I'm testing with a few websites, and it's works like a clock.

[Dan McAteer @daniel_mac8]

This is the best way to use Claude Fable in Claude Code without immediately hitting your limits.

1. Model set to Fable 5
2. Reasoning on Max
3. Instruct Claude to run a dynamic workflow where:
3a. Fable is the orchestrator
3b. Opus does the reasoning heavy phases

Fable is so overpowered that you don't need its intelligence for every step.

Let it orchestrate Opus or even Sonnet.

[Chris Ekai @chrisekai]

Equifax logged the Struts vulnerability — but it never escalated from the log to the enterprise risk register. That gap helped cause one of the biggest breaches ever. The actual difference explained: https://t.co/5xVF8vWFU3 #RiskManagement #GRC #CyberRisk

[Chris Ekai @chrisekai]

Silicon Valley Bank saw $42B withdrawn in 24 hours. The Fed later found its interest-rate risk register wasn't updated fast enough. So how often *should* you update yours? US ERM practice: https://t.co/fEI6lKc66f #RiskManagement #GRC #CyberRisk

[Rahul @sairahul1]

this is f*cking gold

the Claude setup most people will never find on their own

if I had this a year ago, I would've shipped my first app in a day instead of 3 weeks.

in the right hands, this changes everything:

[Chris Ekai @chrisekai]

The Target breach started with stolen credentials from an HVAC vendor — and ended with 40M payment cards exposed. Bow-tie analysis maps exactly how that chain breaks. A plain-English example: https://t.co/0ZqyXXPKti #RiskManagement #GRC #CyberRisk

[Chris Ekai @chrisekai]

A flawed Excel VaR model helped turn JPMorgan's $2B loss into $6.2B. Don't let bad math hide your real exposure. Step-by-step guide to scoring inherent risk in Excel: https://t.co/4epTq6rity #RiskManagement #GRC #CyberRisk

[Chris Ekai @chrisekai]

Build a 3x3, 4x4, or 5x5 risk heat map in minutes. Plot risks by likelihood and impact, then export it - with our free Risk Matrix Generator.
https://t.co/G2Y7WSkw36

[Chris Ekai @chrisekai]

"How badly does it hurt if this stops?" Our free BIA Impact Estimator turns that question into a clear criticality score and recovery priority.
https://t.co/uHIgGCtRhp

[Chris Ekai @chrisekai]

PMP vs PMI-RMP for risk roles: which credential should you pursue in 2026? Our decision guide breaks down the trade-offs.
https://t.co/bFzqyr87vq

[Chris Ekai @chrisekai]

The SHEIN Ireland inquiry has put cross-border data transfer risk on every governance team's radar. Here's why it matters beyond one retailer.
https://t.co/R4Eg0G6pQL

[Chris Ekai @chrisekai]

JPMorgan got ~493,000 applications for ~4,000 analyst seats (a 0.91% acceptance rate). Breaking into risk with no experience is hard — but doable. Our 2026 roadmap: https://t.co/6Cn1w3q7Wq #RiskManagement #GRC #CyberRisk

[Chris Ekai @chrisekai]

Is a GRC certification actually worth it? After TD Bank's $3.09B Bank Secrecy Act penalty, professionals are asking. We break down the salary uplift data.
https://t.co/8KcZogO8Ld