Lessons from AI Mishaps in Journalism: A Personal and Professional Reflection
Scott Hannaford's experiments with AI in journalism are funny on the surface and unsettling under the skin.
They show automation can speed up chores and open up coding for non coders while still making bizarre mistakes that a human would catch in a second. For C suite leaders this is a clear signal that LinkedIn Training, LinkedIn Consultancy, Executive Advocacy and Employee Advocacy are not optional extras anymore. Your digital voice can be boosted by tools, and it can be betrayed by them. The question for every board and leadership team is simple and urgent
Why LinkedIn training and consultancy matter right now
AI will help you draft, research and scale content. AI will also hallucinate, misattribute and make a mess with multimedia. That mix creates two problems for senior executives and their communications teams. First is risk to trust when a post or a shared article contains an obvious error. Second is lost opportunity when executives stay silent because they fear making an avoidable mistake. The good news is both problems are fixable with disciplined systems. Training teaches judgment. Consultancy builds the guardrails. Together they convert tools from risk vectors into productivity multipliers.
Turn AI lessons into measurable executive advocacy
The Hannaford story connects to Emari Group Ltd priorities in a straightforward way. If executive visibility is a business capability then it needs measurable KPIs not vanity metrics. Think share of voice in target debates, inbound leads from thought leadership, stakeholder sentiment around key issues and recruitment impact from visible leaders. That is where Executive Advocacy and Employee Advocacy come in. Leaders must be enabled to publish with confidence and teams must be equipped to amplify the right messages without creating noise or error.
Three practical steps for leaders who want to stay ahead
Make a lightweight content safety check for anything produced with AI. A one minute human verification reduces most mistakes and protects reputation.
Run scenario practice where leaders publish mock posts and a small cross functional team critiques for accuracy and tone.
Measure what matters by tracking inbound opportunities and stakeholder reach rather than likes alone. These systems sit inside LinkedIn Training and LinkedIn Consultancy offerings and scale across Employee Advocacy programmes.
This episode with AI is not a warning that the internet will break. It is an invitation to treat visibility like a core leadership capability similar to financial stewardship and crisis planning. Leaders who act will turn tools into advantage. Leaders who ignore the risk will be outpaced by competitors who are louder and more trusted. If you want pragmatic steps to make executive presence resilient and measurable Emari Group Ltd message is clear and simple
Human judgment plus repeatable systems wins. Start small, test fast and measure the outcomes that matter to your board.
News summary
Daily brief on AI mishaps and what that means for LinkedIn Training and executive advocacy
Executive summary
AI is accelerating creative and productivity work but it still invents facts, jokes when it should not, and needs human steering. A deputy editor's experiments with so called vibe coding flagged predictable gains and unpredictable failures. The upshot for leaders and communications teams is simple and a little stark. Use AI to scale routine tasks. Keep humans in the loop for accuracy and voice. Treat executive advocacy and employee advocacy as a governance problem as much as a content problem.
Why this piece matters for leaders who care about LinkedIn Training and Executive Advocacy
The story is not just a media anecdote. It is a real world stress test of tools that many leaders will rely on to build presence on LinkedIn. The deputy editor reported that an AI started to simulate likely interview lines rather than transcribe facts. At one point the system swapped in a Rick Astley video where a step by step guide should have been. Funny maybe. Risky absolutely.
Why you should care right now The same generative models used to draft posts and reshape images are the exact models your executives might use to speed up LinkedIn posts, LinkedIn Consultancy outputs, and employee advocacy content. Mistakes hit trust faster than they hit feeds. That undermines narrative control and can cost credibility, talent and deals.
So what the facts say about AI in journalism and why that matters for you
The public reporting shows three clear patterns. First, AI can make technical tasks accessible. The piece quotes a researcher saying that natural language has become a powerful way to write code. That removes technical bottlenecks and lets non coders generate tools or drafts quickly.
Second, AI can invent plausible but false content. The article documented shorter, simulated transcripts instead of verbatim records. You can feel the problem. If you post a polished quote or claim generated that way on LinkedIn you risk being corrected in public.
Third, newsrooms are already using AI to automate formatting, surface story ideas and spot audience signals. That underlines an obvious trade off. You save time and generate higher output. You also increase the need for verification, attribution and tone checks.
Scott Hannaford captured the tension neatly when he said quote "AI can do amazing things with photos, but when you see an image in The Canberra Times, you can be confident it was taken by a skilled photojournalist, not generated or modified by sophisticated algorithms". That line points to the twin pillars your teams need to lock in. Authenticity and oversight.
What this means for LinkedIn Training and employee advocacy in practice
You will see three immediate implications on LinkedIn activity and executive advocacy.
1. Content speed will rise Leaders who adopt AI templates will be able to publish more often without delegating voice entirely. That helps share of voice and topical relevance.
2. Reputation risk will rise Drafting posts from AI without checks creates factual drift. That erodes stakeholder confidence faster than any single post can fix it.
3. Measurement must change Traditional vanity metrics are not enough. You need KPIs aligned with business outcomes. Examples work well. Track change in stakeholder sentiment after a leader speaks on a topic. Measure inbound qualified opportunities that reference an executive post. Monitor recruitment quality after employee advocacy pushes employer value themes.
So what should executives and comms teams do next
Short checklist for immediate action that works with LinkedIn Training and LinkedIn Consultancy programmes
Implement AI permissions and verification gates Set rules for what AI can draft and what requires human sign off. For example let AI produce first drafts and data charts. Require an executive or comms lead to review any claims, numbers or quotes before posting.
Build AI aware LinkedIn Training modules Teach leaders how to use prompts, how to check model hallucinations, and how to keep an authentic voice. Make modules part of executive advocacy plans so leaders can be fast and safe.
Create an employee advocacy guardrail Roll out a short policy plus practical templates. Employees should know when to escalate, how to flag possible AI generated content, and how to cite sources when appropriate.
Define measurable outcomes for visibility Move training outcomes from frequency of posts to outcomes like increase in relevant inbound leads, topic share of voice, and net positive stakeholder mentions. Those are board friendly.
What a productised offer looks like for organisations that want to scale safely
Emari can build tiered packages that map to real business goals. A simple pathway might include an AI safe starter pack a leadership enablement sprint and an ongoing advisory retainer. Each stage includes audits dashboards and KPIs that show progress in business terms.
Practical components you can productise quickly
AI safe starter pack A one day workshop plus a quick wins checklist. Teach prompt crafting, verification workflows and a simple content approval matrix.
Executive advocacy sprint One to one coaching, post templates, short crisis playbook and a measurement dashboard focused on influence and inbound value.
Employee advocacy programme Small group training, content calendars and incentives aligned to recruitment and brand metrics.
Key takeaways that matter at board level
AI is a force multiplier and a risk multiplier It will accelerate productivity in LinkedIn content and digital reach but it will also create factual drift that harms reputation.
Human oversight is non negotiable Leaders and comms teams must sign off on facts and quotes. That is as important as tone of voice and brand alignment.
Measure what boards care about Shift training KPIs from posts published to influence delivered. Track share of voice inbound opportunity quality and recruitment uplift.
Small anecdote because why not mention the sensory detail The Rick Astley moment makes the point. The office hears the first bars and you smile for a second. Then you remember the post was meant to be a fact check checklist not a prank. That tiny jolt is a good mental model for how AI can derail an otherwise sensible content plan.
Bottom line You do not have to avoid AI. You do have to design systems so AI helps you win rather than lose. That is exactly where LinkedIn Training LinkedIn Consultancy Executive Advocacy and Employee Advocacy intersect. Teach leaders to use tools. Give them guard rails. Measure the right things. Do that and you will get faster content with less risk and clearer ROI.
Next steps we recommend Run a half day AI safety workshop for senior leaders and your comms team. Update your executive advocacy playbook to include AI verification steps. Add a measurable dashboard to your LinkedIn Training outcomes so you can show board level returns on visibility spend.
Key insights
LinkedIn training reduces the reputational risk exposed by AI mistakes
Executive summary LinkedIn training moves beyond profile polish. It becomes a defensive playbook when AI slips create confusion or mistrust. The Canberra Times deputy editor captured this risk when he said "AI can do amazing things with photos, but when you see an image in The Canberra Times, you can be confident it was taken by a skilled photojournalist, not generated or modified by sophisticated algorithms." That quote is the practical problem leaders face on social platforms today.
Why this matters for leaders
AI tools are now able to write code from plain English and to generate convincing content fast. Steven Johnson put it plainly at a news media summit when he said "Who knew that the most powerful coding language in 2025 would be English?" Fast is great. Fast and wrong is not. The deputy editor reported that an AI "simulated what was 'likely' to have been said" in meeting transcripts and once swapped a requested how to guide for a Rick Astley video. Those anecdotes are funny until they undermine trust with investors, employees, regulators or customers.
What leaders should feel and do right away
Feel a sense of urgency about factual control and authenticity. Do three practical things in the next 30 days.
1 Use LinkedIn training not for vanity metrics but to rehearse factual, traceable storytelling. Teach spokespeople and senior hires how to cite sources, attach original documents, or link to company pages so that any claim can be verified in two clicks.
2 Run a rapid audit of likely AI exposure points. Look at who posts what content, where images and quotes are used, and which teams use AI to draft messages. Mark the high-stakes posts that touch investors, regulators, customers, or recruitment markets.
3 Set a short checklist for executive posts. Keep it simple. Confirm whether a claim is sourced, whether an image is original, and whether an AI tool drafted the language. If the answer to any of those is unclear assign a human reviewer before posting.
How this ties to LinkedIn training and executive advocacy
LinkedIn training should teach executives how to be transparent about their use of AI. Practice lines like "drafted with the help of tools and reviewed by our team". That small change reduces the perception of deception and strengthens executive advocacy. Employee advocacy programs should mirror this approach so that the whole organisation speaks with the same verification habits.
Quick takeaway Train leaders on how to make posts verifiable. Use LinkedIn training to turn reputation risk into reputation control. When AI trips up, consistent, sourced, human-signed content on LinkedIn is what restores trust, fast.
Turn AI productivity gains into board level KPIs with LinkedIn consultancy
Executive summary The press is clear that AI promises productivity. Scott Hannaford noted that "All media organisations are looking for ways to do more with less, and AI is full of promise when it comes to delivering that productivity." For senior leaders that promise needs to be translated into measurable impact on reputation, pipeline and talent. That is where LinkedIn consultancy becomes a board metric, not a marketing checkbox.
Where the gap shows up
Organisations adopt AI for speed. They forget to link that speed to outcomes like inbound opportunities, share of voice in target debates, stakeholder sentiment, and recruitment impact. Emari Group's objective to move connected leadership into leadership essentials maps directly to closing the gap. Boards want ROI. They do not buy impressions.
Practical steps to make LinkedIn consultancy board ready
1 Start with a baseline report. Use the first 60 days to measure current share of voice, inbound leads attributed to executive content, and recruitment leads from public posts.
2 Create a KPI dashboard that ties LinkedIn activity to commercial outcomes. Suggested metrics are share of voice in three priority conversations, number of inbound approaches from investors or customers, and a stakeholder sentiment score from sampled comments and messages.
3 Productise the offer. Design three tiers that executives can buy into. Tier 1 is an intensive 1 on 1 executive enablement with explicit KPIs. Tier 2 is a small group programme focused on measurable narratives. Tier 3 is a scalable employee advocacy kit with reporting tools. Each tier includes a quarterly narrative review that maps activity to outcomes.
How to keep this operational and repeatable
Schedule a monthly narrative review with the executive, the communications lead, and a data person. Use that meeting to close the loop between content and results. Convert anecdote into evidence for the next board pack. That turns LinkedIn consultancy into a governance discipline rather than a one off training course.
Quick takeaway Use LinkedIn consultancy to capture AI productivity gains as measurable business outcomes. Boards will fund programmes when you present KPIs that matter to investors, talent and regulators. Make measurement the default.
Build a human oversight system for executive advocacy to prevent AI hallucinations
Executive summary AI will draft faster and think in plain English. It will also invent plausible but false details. The deputy editor shared how an AI "simulated what was 'likely' to have been said" and once inserted a Rick Astley video instead of a guide. Those are the kinds of hallucinations that can topple credibility. Executive advocacy and employee advocacy programmes must be built around human oversight and clear sign off rules.
Why oversight matters more than ever
Connected leadership is performance. If leaders post unverified AI drafts they create openings for competitors and critics. Emari Group argues that visibility is an operational necessity. That position becomes actionable when you combine training with governance so that every high impact message gets a factual check before it goes live.
Concrete measures to adopt this week
1 Define categories of content and apply sign off rules. Low risk personal reflections can be single sign off. Anything that mentions numbers, projections, competitors or regulatory topics gets dual sign off from a comms or legal reviewer.
2 Add a short verification tag to executive content. Teach spokespeople to add source links or a short note when AI assisted drafting. That small habit lowers the temperature when questions arise.
3 Expand employee advocacy into a verification playbook. Train a cohort of advocates on spotting AI errors and on how to escalate. That makes your employee network a protective layer, not a risk multiplier.
What success looks like
Success is faster, safer publishing where executives still feel human and responsive. It looks like monthly reports that show fewer corrections, steady inbound pipeline from credible audiences, and a reputation score that climbs when leaders consistently sign off on accuracy.
Quick takeaway Pair executive advocacy with simple human checks. Train leaders and employees to treat AI drafts as first drafts only. That makes LinkedIn Training and LinkedIn Consultancy into systems that protect reputation rather than jeopardise it.
Detailed summary
AI mishaps and what leaders must do now for LinkedIn Training LinkedIn Consultancy Executive Advocacy Employee Advocacy
Executive summary
What happened Scott Hannaford, deputy editor at The Canberra Times, spent days experimenting with AI to build a journalist app and found both promise and real fragility in current tools.
So what AI can speed up routine work but it also invents, simulates, and occasionally substitutes a Rick Astley video for a user guide. That mix of speed and error matters for any leader relying on automated content or platform-driven visibility.
What to do next Treat AI as an amplifier that still needs human filters. For executive advocacy and employee advocacy on LinkedIn, that means audit, sign-off, and measurable outcomes tied to business KPIs.
What actually happened and the hard facts you can quote
Reporters republised Scott Hannaford's experiment with so-called "vibe coding" where plain English prompts were used to build an app aimed at helping journalists.
The AI first transcribed and analysed meetings, but transcripts turned out shorter than expected because the system began to "simulate what was 'likely' to have been said" rather than provide verbatim records.
In one memorable test the bot substituted a music video for a requested step by step guide, an episode reported as the AI playing "Never Gonna Give You Up" by Rick Astley as a joke.
The published coverage also highlights that tools in 2025 let people write code with natural language. As one industry participant put it Steven Johnson told a news media summit in September "Who knew that the most powerful coding language in 2025 would be English?"
Verbatim signals leaders should read and trust
Use these direct quotes as data points when you brief stakeholders or the board:
Scott Hannaford (Deputy Editor) said "All media organisations are looking for ways to do more with less, and AI is full of promise when it comes to delivering that productivity."
Scott Hannaford (Deputy Editor) said "AI can do amazing things with photos, but when you see an image in The Canberra Times, you can be confident it was taken by a skilled photojournalist, not generated or modified by sophisticated algorithms."
Scott Hannaford (Deputy Editor) said "Readers count on us to be thorough and accurate, which is exactly what we're trying to be."
Another frank line captures the caution required Scott Hannaford (Deputy Editor) said "But I do see its potential to be hugely beneficial, if we're cautious and don't rely on it where it's still inherently unreliable."
Why this matters to your executive advocacy and LinkedIn Training
Three short reasons:
1 Authenticity risk. If AI hallucinates or simulates content, executives can unintentionally publish inaccurate statements or inauthentic narratives on LinkedIn, undermining trust.
2 Operational risk. Automated transcription or summarisation systems can compress or invent meaning. That threatens board-level responsibilities where precision matters.
3 Opportunity to scale. Used correctly AI can remove mundane work, freeing leaders to focus on high-value commentary and stakeholder conversations that LinkedIn Consultancy services should prioritise.
Practical risks and clear opportunities for senior teams
Risks
Content hallucination where AI fabricates quotes or events, shown by simulated transcripts in Hannaford's tests.
Reputational damage if AI-generated images or posts are presented as human-created, counter to the pledge about photo authenticity in The Canberra Times.
Overreliance on automation leading to weaker scrutiny of messages that move markets, hire talent, or attract investors.
Opportunities
Productivity gain where AI automates time-sapping tasks like data formatting and initial story analysis, freeing leaders for strategic visibility.
Lower barrier to coding and tooling meaning smaller teams can ship tools for monitoring share of voice, sentiment, and inbound leads.
Better employee advocacy when AI is used to surface high-potential topics for staff to amplify, with human oversight ensuring accuracy and brand alignment.
What leaders should do next for Executive Advocacy Employee Advocacy and LinkedIn Consultancy
Short, actionable steps you can start this week.
1 Run a simple content audit. Flag any posts or tools that currently auto-publish. Stop or quarantine anything that has no human sign-off.
2 Set human gates. For executive posts and employee advocacy, require a named approver. Train that approver with LinkedIn Training so they spot hallucinations fast.
3 Build measurable outcomes. Move conversations away from vanity metrics. Use KPIs your board trusts such as share of voice in key debates, inbound opportunities, and stakeholder sentiment. The Emari approach reframes visibility as performance, not PR.
4 Use AI where it helps, not where it decides. Automate formatting or first drafts but keep interpretation and final framing with humans.
5 Create a lightweight escalation playbook for anything that could impact reputation or regulatory standing.
How this ties to your commercial priorities for LinkedIn Training LinkedIn Consultancy
Your Connected Leadership view treats visibility as a business capability not a marketing afterthought. The Canberra Times experiments validate that stance.
AI will change how content is produced and scaled. That makes trained, confident leaders more valuable, not less. Executive Advocacy and Employee Advocacy programs that embed verification, tone control, and measurable KPIs will outperform ad hoc posting and automated noise.
One last practical point and a credible next step
Keep it simple when you brief the board. Use the quotes above and the facts from the experiments as evidence of both upside and risk. Remind them that AI can accelerate reach but cannot replace trust.
For a hands-on next step, consider a short LinkedIn Training session focused on AI aware content practices plus a LinkedIn Consultancy audit of automated tools and governance. That aligns with commercial outcomes such as pipeline growth, talent attraction, and narrative control.
Want a template or a 30 minute workshop brief We have a practical one page agenda that maps to board KPIs and employee advocacy controls. See our work at https://www.emari.co.uk/
Bottom line The story is not that AI is magic or broken. It is that AI is powerful and fallible at once. Leaders who build systems that combine acceleration with human judgement will convert this moment into strategic advantage.
Final Thoughts
LinkedIn training, linkedin consultancy, executive advocacy, employee advocacy
Executive summary
The recent run of AI mishaps in journalism is a clear wake up call for leaders who want to be visible online. AI can speed up routine tasks, help with draft thinking, and surface useful patterns. It can also make convincingly wrong choices that damage credibility. That matters if you, your board, or your people use social platforms as a strategic channel for reputation, recruitment, and commercial connection.
AI mistakes in the newsroom show why human oversight still wins
Scott Hannaford's experiments with AI in The Canberra Times read like a lab notebook you cannot put down. There are wins that feel like small superpowers. There are errors that are, frankly, embarrassing. The Rick Astley substitution is funny until it is the thing your stakeholders see when they click through to learn about a product, a decision, or a leader.
Key point The machine can draft. People must curate. That distinction is easy to miss when you are time poor and eager for volume. And that is exactly the pressure leaders face on LinkedIn.
Why leaders must treat visibility as a core business capability
If you view executive visibility as optional or as a marketing add on, you leave narrative control to others. That is not humility. That is a strategic gap. Good leaders today must be able to communicate clearly, consistently, and with credibility online. That requires a blend of systems, skills, and human judgment.
Practical takeaway Start with the profile. Then build predictable routines that produce high quality interactions. Rely on data to choose topics and formats. Use human review to catch the weird AI quirks before they go live.
How this links to measurable outcomes that boards will care about
Visibility is not vanity when it maps to commercial KPIs you can show the CFO or the board. We are talking share of voice in key debates, inbound opportunity leads, recruitment traction, sentiment among clients, and resilience during a reputation event. Those things move the balance sheet, reputations, and career arcs. Training is how you get from noisy intent to measurable output.
Short list of what matters
Profile authority People decide in seconds if you are credible. Profiles that read like résumés do not cut it.
Content with purpose Conversations that link to business outcomes beat broadcast statements every time.
Systems and rituals A simple replicable routine reduces errors and stops AI hiccups turning into PR moments.
What leaders should do next this week
Yes, there are bigger plans to draft. But you can take crisp steps right now that make a tangible difference.
Quick actions
1. Review one recent post and check every factual claim. If an AI helped write it, reread it with fresh eyes. The AI can invent plausible sounding detail.
2. Update your summary line and headline so they link to commercial narratives you care about. Those are the things journalists and investors notice first.
3. Pick one executive and one internal champion for employee advocacy. Train both to post with a simple pre-flight checklist that flags AI use, sources, and verification.
Why Emari Group LTD is a practical partner for this moment
We accept that AI is a tool you will use. We do not treat it like a substitute for judgement. That perspective is baked into our LinkedIn training, linkedin consultancy, executive advocacy, employee advocacy programmes. Our work focuses on turning presence into performance. We help leaders use automation safely so that output is faster but also truer to their voice.
How we help
We run a signature executive programme that reshapes profiles into strategic assets, builds routines that fit an executive diary, and installs governance so content risks are reduced. We also audit digital activity across teams to find where simple fixes can stop a small error from becoming a public incident. If you want the details, our Illuminate programme is specifically built for senior leaders who need quick, measurable change without theatre or fluff.
Explore Illuminate here https://www.emari.co.uk/linkedin-profile-optimization-and-coaching-program
For a broader review across your digital ecosystem, see the MOT digital marketing audit here https://www.emari.co.uk/digital-marketing-audit-moment-of-truth
How the newsroom lessons map to executive and employee advocacy programmes
There are direct parallels. Journalists experimenting with code learned that automation can remove tedium. Your people can use AI to draft first passes, to schedule posts, or to scan conversations for trend signals. But the same teams learned to never publish without a human gatekeeper. That principle applies to employee advocacy systems, where a single unchecked post can affect recruitment, client relationships, or regulatory standing.
Our rule Use automation to prepare and scale. Use human review to approve and contextualise.
That rule shows up in training content and in our consultancy checklists. It also features in the governance playbooks we give leadership teams, which are short, practical, and repeatable.
Case studies that show real outcomes
If you prefer proof to promise, our results page collects examples where profile work and targeted campaigns moved commercial metrics. We helped a client secure multiple executive opportunities from an updated profile. We generated hundreds of leads for an energy tech client. Those are the kinds of outcomes that convert curiosity into budget conversations.
Read client results and testimonials here https://www.emari.co.uk/results
What to expect if you engage with us
We do focused work with clear milestones. Leaders see fast improvements in profile clarity. Teams see better alignment between content and commercial priorities. Boards can track a small set of KPIs that demonstrate progress and risk reduction. We always supply a short governance checklist so AI assisted posts do not become a headline.
Measurement we favour
Share of voice in agreed debates, inbound opportunity quality, recruitment signal shifts, and sentiment among priority stakeholders. Those metrics tell a board something they can act on.
Final push and call to action
If the AI stories leave you thinking you should do something, that is the right instinct. Action beats paralysis. Start with a small, governed experiment that aligns to a business outcome. That could be a leadership profile refresh, a pilot executive advocacy coach, or a short audit of your marketing stack to find where automation is helpful and where human review is non negotiable.
Take the next step
Visit our Illuminate page to book an exploratory conversation and see a sample coaching plan https://www.emari.co.uk/linkedin-profile-optimization-and-coaching-program
If you want a rapid health check across marketing and social, request the MOT audit here https://www.emari.co.uk/digital-marketing-audit-moment-of-truth
Prefer to see the proof first Read our client outcomes and testimonials https://www.emari.co.uk/results
We work with leaders and teams who value clarity over noise and measurable outcomes over vanity. If that sounds like you, start the conversation at our website https://www.emari.co.uk/
One last thing AI will keep improving. So will the ways it confuses and amuses us. The smart move is to treat technology as a lever and judgement as the limiter. If you build both into your approach to LinkedIn training, linkedin consultancy, executive advocacy, employee advocacy you will win not by accident but by design.
— Emma Wilson, Emari Group LTD
Resources
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From coding to journalism: Lessons in AI mishaps | The Armidale Express | Armidale, NSW
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From coding to journalism: Lessons in AI mishaps | Merimbula News Weekly | Merimbula, NSW
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From coding to journalism: Lessons in AI mishaps | Wellington Times | Wellington, NSW
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From coding to journalism: Lessons in AI mishaps | Mudgee Guardian | Mudgee, NSW
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From coding to journalism: Lessons in AI mishaps | The Examiner | Launceston, TAS
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From coding to journalism: Lessons in AI mishaps | The Irrigator | Leeton, NSW
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From coding to journalism: Lessons in AI mishaps | Moree Champion | Moree, NSW
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From coding to journalism: Lessons in AI mishaps | The Border Mail | Wodonga, VIC
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From coding to journalism: Lessons in AI mishaps | Narromine News | Narromine, NSW
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From coding to journalism: Lessons in AI mishaps | Oberon Review | Oberon, NSW
https://www.gloucesteradvocate.com.au/story/9101574/from-coding-to-journalism-lessons-in-ai-mishaps/
From coding to journalism: Lessons in AI mishaps | Gloucester Advocate | Gloucester, NSW
https://www.juneesoutherncross.com.au/story/9101574/from-coding-to-journalism-lessons-in-ai-mishaps/
From coding to journalism: Lessons in AI mishaps | Southern Cross | Junee, NSW
https://www.blayneychronicle.com.au/story/9101574/from-coding-to-journalism-lessons-in-ai-mishaps/
From coding to journalism: Lessons in AI mishaps | Blayney Chronicle | Blayney, NSW
https://www.crookwellgazette.com.au/story/9101574/from-coding-to-journalism-lessons-in-ai-mishaps/
From coding to journalism: Lessons in AI mishaps | Crookwell Gazette | Crookwell, NSW
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From coding to journalism: Lessons in AI mishaps | The Advocate - Hepburn | Hepburn, VIC
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From coding to journalism: Lessons in AI mishaps | The Advertiser - Cessnock | Cessnock, NSW
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From coding to journalism: Lessons in AI mishaps | Harden Murrumburrah Express | Harden, NSW
https://www.emari.co.uk/results
Testimonials and logos from key clients
https://www.emari.co.uk/linkedin-profile-optimization-and-coaching-program
Illuminate is a high-impact executive LinkedIn training programme that turns visibility into a strategic business advantage, not a vanity exercise. It equips leaders to own their voice, shape industry conversations, and align their online presence with commercial goals — delivering measurable results in influence, trust, and opportunity generation. Designed for time-poor senior professionals, it transforms profiles, builds strategic networks, and develops authentic, high-ROI engagement that drives both corporate and personal success.
https://www.emari.co.uk/digital-marketing-audit-moment-of-truth
The MOT: Digital Marketing Audit cuts through the noise of “busy but ineffective” marketing to give leaders a clear, prioritised roadmap for results. It analyses every part of your digital ecosystem — from content and SEO to social, sales alignment, and competitor activity — so you know exactly what’s working, what’s wasting budget, and what to fix first. Designed for time-poor directors, marketing managers, and agencies, it delivers quick wins, long-term direction, and the focus to turn scattered activity into measurable growth.