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Create something today with
AI & Visual Development β¨ |
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π Preview: In today's issue
- β¨ Reasoning vs None-Reasoning models
- π GPT-5 and why it's interesting
- πΊ The story of building a six-figure AI SaaS
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Hello and Happy Tuesday to the regulars and the 283 new subscribers π
We're back in your inbox to cover the latest launches and new features to help you ride that AI wave ππ Hot off the back of the controversial GPT-5 release we've broken down some of the features of the latest model, shared a few upcoming events and a fireside chat with an AI SaaS founder to give you some ideas on what to build.
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Let's jump in...
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π€ Explain Like I'm 5
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Reasoning vs None-Reasoning models...and Why Does GPT-5 Matter? βOpenAI just dropped GPT-5, and everyoneβs asking: is this the leap to βtrueβ AI? Not quiteβbut itβs a major step in how models think.
Letβs break it down:
- Reasoning Models try to solve problems step-by-step, like a human working through a tough math problem or planning a project.
- Non-Reasoning Models respond instantly, perfect for quick tasks like drafting an email or checking grammar.
So, whatβs new with GPT-5?
- Instead of picking a model for each task (chat, coding, analysis), GPT-5 auto-selects the right approach, reasoning or non-reasoning, based on your intent.
- Itβs more honest: if it doesnβt know, it says so.
- It's noticeably less sycophantic: Model is less likely to be overly agreeable, thanks to post-training adjustments using real production data.
- It can remember way more (400k tokens!), making it better at handling long documents or conversations.
- it has multiple personalities that you can access. (This was tricky to find as it's only available on browser or mobile app and I'm a Mac app user).
- Gmail & Google Calendar Integration: Connect directly for scheduling, email drafting, and active day management. This could be particularly interesting to avoid situations like below.
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It's competitively priced. Let's take running a review of 5 research papers. Assume each PDF is 10 K tokens and you want a 2 K-token structured summary. Total input: 50 K tokens (0.05 M). Total output: 10 K tokens (0.01 M)
- GPT-5: $0.1625 ( $0.0625 input + $0.10 output )
- GPT-4o: $0.225
- Claude Opus 4.1: $1.50
It's 10% of the cost of Claude Opus 4.1 with the similar results. This should have dramatic effect on how we choose models.
- API access offers three models: Regular, Mini, and Nano (Nano being the cheapest) each can be run at four reasoning levels (minimal, low, medium, high). So more granularity compared to the ChatGPT which only has the 2: thinking or fast mode
π§ Why does this matter?β
You get the right kind of βthinkingβ for the job. Fast answers when you need them, deeper analysis when it counts.
For all it's wooden acting their product launch video was packed with innovative product improvements.
π€ What else was interesting?
It's hard to please everyone; so the internet has been keen to express their opinions. Here's a few
- it still does things a human intuitively does
What do you think of GPT-5? Hit or miss?
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π On your radar
Keep your finger on the pulse of what we think is hot in the space right now π₯
βοΈ OpenAI drops first open-weights e.g. open source reasoning models
Oh wait...they did something else this week
π Why it matters: Two models (20B/120B params) built for tool calls and agents, but crawls at 10 words/min according to Ben Tossell. Fine-tuning potential massive (eg. think highly regulated industries that can now build out models with a known LLM). We think it's a small snipe at Meta after their little tit for tat recently.
WTF is Open Weight? See the knowledge shot in the subscriber section for an explainer.
βοΈ Google Genie 3 creates persistent game worlds. This is fun
π Why it matters: This feels far away from our day to day however it generates realistic environments you can explore with a 1-minute memory. It's early doors but we creating worlds like this required a huge amount of designers and developers; now it's a simple text prompt.
βοΈ Framer Launches On Page Editingβ
π Why it matters: Handing over a project has always been tricky for agencies and freelancers but Framer just made the process easier with on page editing. This means that clients can click and make changes to copy, components and images directly from the live site.
βWith Contra releasing its Indy product last week it's expected that this unlocks millions in more opportunties for Framer creators.
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π Bonus links for subscribers
- Lovable shipped just hosted their cohort's first Demo Day. Discover what the top 10 finalists created using the platform:
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βοΈ Knowledge shot β Open Weight refers to AI models where the actual trained parameters (the "weights") are freely downloadable, but the training code might not be. Open Source means everything is availableβweights, code, training data, the lot. OpenAI's new gpt-oss models are open weightβyou can download and run them locally, but you can't see exactly how they were trained.
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πΊ Building a six-figure AI SaaS with no-code with Alex Rainey and Tom Wesolowski
 βAlex Rainey, co-founder of My AskAI, shares his journey from corporate consulting to building a $40k MRR AI customer support company using 75% no-code solutions.
After raising $1.5m for his first startup and learning hard lessons from pivots and exits, Alex will reveal how he leveraged no-code tools to rapidly iterate, validate, and scale his current venture without external funding. Discover the practical strategies and tool stack that enabled a lean team to build a profitable AI SaaS competing with heavily-funded competitors.
He's also got a new mini product for Bubble builders. DM him and check it out
βΆοΈ Watch Videoβ
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π Final Thoughts
Can you spot the issue with this graph? π
βThe internet did.
It transpires that it was human error, late into the night, that led this graph to not being verified. So don't be too hard on yourself the next time you have a typo on a slide, especially during summer - it even happens to the OpenAI team.
See you next week!
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With good vibes β¨
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The Create With Team
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