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- Less Talk, More Doing with AI
Less Talk, More Doing with AI
AI is here to stay!
Ivana Coh & LIKE MAGIC AI news
January 16, 2026
In partnership with
Hi fam!
In this edition, we dive into the latest developments in AI-driven tools and how they’re reshaping the content creation landscape. From Runway GEN-3 Alpha, which turns text prompts into stunning video clips, to powerful B2B marketing solutions like Outreach and Salesforce Einstein—AI is transforming the way we create, sell, and engage. We also review Rytr, a new AI-powered writing assistant that simplifies content generation.
The future of AI feels Like Magic, and it’s here!
Like Magic AI — 2026: The Year AI Stops Talking… and Starts Doing
In 2024–2025, AI was a “chat” product.
In 2026, AI is becoming labor.
The headline shift: agentic AI (tools that take actions, not just answer prompts) is moving from nerdy demos to products normal teams can actually use. Anthropic’s “Cowork” push is a pretty loud signal that “AI coworkers” are the new platform layer.
So if you’re thinking “Where’s the business opportunity?” — the answer is: everywhere software touches work.
Below are 5 top angles to start an AI business in 2026, LMAI-style: simple framing, real money paths, and where the bodies are buried.
1) “AI Coworkers” for painfully specific jobs (vertical agents)
The idea: Stop building “a general assistant.” Build an agent that owns one workflow end-to-end.
2026 is the breakout year for agents that:
open files, update systems, run steps, hand off to humans when needed
ship outcomes (“the invoice is reconciled”) instead of outputs (“here’s a draft”)
Where the money is
Vertical teams with repeatable processes: accounting close, HR onboarding, procurement, compliance ops, lab reporting, grant writing, claims handling.
You sell ROI, not “AI magic”: “We cut cycle time from 5 days to 1.”
Winning wedge
Pick a niche where the data + tools are already structured (a common SaaS stack).
Promise one metric: hours saved / errors reduced / revenue recovered.
Example products
“CloseBot” for accountants: pulls statements, matches transactions, flags anomalies, drafts journal entries.
“ClinicOps Agent”: patient intake → documentation → billing codes (with approvals).
2) AI security + governance: “Ok cool, now make it safe”
The idea: As agents spread, companies freak out (correctly):
“Wait… an AI can access Drive, Slack, Jira, HRIS… so who’s in charge?”
That’s why AI security + governance is getting funded and consolidated fast.
Also: regulation is no longer “coming someday.” In the EU, the AI Act timeline is already in motion, with GPAI obligations applicable from August 2, 2025 and broader applicability building toward August 2026 milestones.
Where the money is
“AI firewall” for enterprises: prompt + tool-use monitoring, data leakage prevention, policy enforcement
Agent identity + permissions (“non-human identity management”)
Audit trails + model/cards + governance workflows for regulated teams
Winning wedge
Start with one compliance pain: finance, healthcare, insurance, public sector.
Make it boring and inevitable: logs, permissions, approvals, retention, red-teaming.
Example products
“Agent Access Manager”: least-privilege permissions for tools (Drive/Jira/Salesforce) + approval gates.
“EU AI Act Pack”: controls + documentation generator + monitoring templates aligned to obligations.
3) Synthetic video + creative automation: the “new ad factory”
The idea: AI video is getting good enough and native to distribution.
Google’s Veo updates (including vertical-first workflows and integration into YouTube creation surfaces) scream: the internet is about to be flooded with AI-native creative.
Where the money is
Creative output is exploding, but teams still need:
brand consistency
variant testing at scale
approvals + rights + safety
performance feedback loops
Winning wedge
Don’t sell “video generation.”
Sell “performance creative system”: generate → test → learn → iterate.
Example products
“Shorts Studio for SMBs”: generates 30 variants/week from product photos + reviews + offers; auto-posts; learns from retention.
“AdOps Copilot”: turns one creative brief into multi-platform ad packs + compliance checks.
4) On-device + privacy-first AI: “no cloud, no problem”
The idea: Lots of businesses want AI… but can’t ship data to external servers (privacy, latency, cost, sovereignty).
On-device AI is trending because users want privacy and speed, even if quality tradeoffs exist today.
Where the money is
Edge AI for:
field work (inspection, maintenance, utilities)
clinics/labs
factories/warehouses
any workflow with spotty connectivity
Winning wedge
Pick use cases where “good enough locally” beats “perfect but slow/risky.”
Example products
“Offline Inspector”: photo → checklist → report, runs on rugged devices, syncs when online.
“Local Research Assistant” for legal/medical: secure doc Q&A on-prem.
5) The boring goldmine: AI orchestration, evaluation, and “prove ROI”
The idea: Everyone built pilots. 2026 is where enterprises demand:
“Show me it works. Show me it’s safe. Show me it’s cheaper.”
That’s why “orchestration + governance + measurable ROI” is becoming the enterprise operating model.
Where the money is
Agent orchestration (routing, tool selection, handoffs)
Evaluation harnesses (quality, hallucination risk, regression testing)
Observability (cost, latency, failure modes, data exposure)
“AI budget control”: kill waste, pick the cheapest model that meets the bar
Winning wedge
Sell to AI leaders who are tired of chaos:
“We reduced AI spend 30%”
“We prevented bad outputs from reaching customers”
“We standardized how agents ship to production”
Example products
“Eval-as-a-Service for Agents”: test suites for your workflows, not academic benchmarks.
“AI Ops Console”: dashboards for cost/quality/risk + one-click rollback.
Quick News Snippets
Anthropic pushes “AI coworkers” into the mainstream with Cowork, aiming to make agentic capabilities accessible beyond command-line power users.
AI shocks the SaaS world (again): investor anxiety rises as advanced AI platforms threaten to compress traditional software value into “agent + tools.”
AI video gets vertical + distribution-native: Google’s Veo update supports vertical generation and deeper integration into YouTube creation workflows.
AI security becomes a category, not a feature: funding flows to platforms securing and governing AI agents inside enterprises.
Identity security arms up for “human + machine” users: CrowdStrike’s SGNL acquisition highlights continuous identity as the new perimeter in an agent world.
EU AI Act timeline keeps moving: obligations roll out in phases, with major applicability steps already in effect for prohibited practices and GPAI governance, and broader milestones approaching in 2026.
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AdCreative.ai - One Platform, Endless Ad Variations
If there’s one thing marketing teams never have enough of, it’s time for creative iteration. Writing copy, adjusting layouts, testing visuals, resizing formats, and adapting content for different platforms can easily turn one campaign into dozens of small design tasks.
AdCreative.ai positions itself as an AI platform built to solve exactly that problem: generating high-quality, performance-ready ad creatives at scale, while still respecting brand identity and visual consistency.
What AdCreative.ai Actually Does
AdCreative.ai is not just a single-feature generator. It’s a broader AI-powered ad creation suite designed primarily for digital marketing teams and performance-driven campaigns.
In general, the platform allows you to:
generate ad creatives for multiple formats (stories, feeds, banners, etc.)
create visuals optimized for different platforms (social ads, display ads)
work with brand inputs such as logos, colors, and fonts
generate multiple creative variations from a single brief
adapt text and visuals automatically across layouts
explore different design styles for the same message
The idea is simple: instead of designing one ad at a time, you generate dozens of variations at once, then test and refine based on performance.
Musicful.ai - AI Song Generator That Turns a Prompt Into a Full Track in Seconds
There’s something undeniably fun about asking AI to write a song.
We’ve tried tools for text, images, video… but music always felt like a sacred territory — something that belongs to real instruments, late-night studio sessions and messy notebooks filled with rhymes.
And then Musicful.ai comes along.
It’s an AI tool that creates complete songs — lyrics, melody and vocal delivery — based on a single prompt. You choose the genre, mood, intensity… and in a few seconds you get a finished track that sounds surprisingly radio-ready.
Perfect for creators who need background tracks, jingles, theme songs — or anyone who just wants to play.
What Musicful.ai Can Do
Generate full songs from text prompts
Choose genre + mood (pop, rock, romantic, powerful, ballad…)
Receive multiple versions from the same lyrics
Lyrics included instantly (no writing required)
The interface is shockingly simple.
Two dropdowns (genre + vibe), one input box for your prompt, and that’s it.
🧪 Our Test
We asked Musicful.ai to create a: "song about AI for Like Magic AI newsletter."
We chose Romantic + Powerful as the style combination. Seconds later — we got two completely different songs with the same lyrics.
a pop-rock track with energy and movement
a soft emotional ballad version
Same words, two opposite feelings. Which is impressive. We were honestly surprised.
The lyrics are witty, relatable, and feel like something you could hear in a YouTube intro or even a commercial.
Not Shakespeare — but catchy enough to get stuck in your head.
Text generation | Image Generation | LMAI recommends |
|---|---|---|
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