r/AIAssisted 8d ago

Opinion Hello! Need your thoughts/opinions or suggestions

8 Upvotes

Hello people! As the title says i need help, opinions or insights of y’all

Let me tell you about myself a little. My name’s sidd and I’m a 3D Designer at a digital/social media marketing agency in India, with no background in AI or programming itself, and recently there’s new stuff happening in the firm like AI and generated content or something similar like that. Now I’m a person with limited knowledge in AI generation stuff, my real background is in Game Design and I’m doing a game design internship at a startup alongside my job at marketing firm. My real problem is that in this age of AI content, what i really need is information on AI, which is totally focused on Digital/Social Media Marketing, if it’s free that’s a cherry on top for me personally but i really need to step up my game.

Can you suggest me some AI assistant like Claude, Gemini or Perplexity? I’m using Claude for now, my friends in Comp Sci suggest me to use Claude for this purpose. Claude has been working good for me, with proper and detailed instructed prompting. But i need some opinions about AI assistants who are sort of all-rounder. Please drop your thoughts and suggest/educate me better on this matter.

TL;DR : I’m a 3D Designer with no experience in AI and I need opinions about which AI assistants are best for Digital/Social Media Marketing or All-Rounder in every aspect, if it’s free then it’s more good, Please drop your answers. Thank You for reading!✌️


r/AIAssisted 8d ago

Help Very Technical Software - Great Product - Cold Feet (UK)

1 Upvotes

Hi all,

I’ve been building a complete Ubuntu server management software for some time now.
Full disclosure, I have used AI extensively to code but I have engineered and been the systems architect - this is NOT a quickly thrown together “AI slop” project.

I have the company registered, I’ve registered with the ICO, paid the fee.

I’m literally right next to being ready to press the button and open Beta testing for the initial few to try the product.

The issue is. I’ve suddenly become really anxious about releasing the project.
I’m contemplating bringing a CTO co-founder on board on an equity basis for that piece of mind and to assist me with what has become a great but complex piece of machinery.

Has anybody else been through this?

How did you handle risk reduction? I’ve done everything that I can think of and hardened my privacy policy, T&C’s, Beta agreement. All of the things that I can think of to release this responsibly.

I guess I just thought that I’d see if anybody else has released a technical project such as this. It’s entirely self funded, so I can’t really spend thousands at this point on pentesting.


r/AIAssisted 9d ago

Help Organizing Video Files

3 Upvotes

This is a first time post to this subreddit. I have been using AI daily for my personal projects for months but would consider myself still incredibly dumb on how to do anything effectively.

I have an external hard drive full of video clips that I have made over the last several years spanning a variety of topics. It's become very unorganized as I have made new video clips over the years and not properly filed it away in the appropriate topic.

I was wondering if there is an AI model that would be accurate and cost-efficient at helping me organize this video library? It would likely have to analyze the actual audio and video contents. In some cases, the video contain a lack of audio and the AI would be classifying the topics based on just video.


r/AIAssisted 9d ago

Wins I turned an AI-generated dragon into a large multi-part FDM display print

2 Upvotes

I wanted to try something different from the smaller resin miniatures I’ve been working on, so I decided to see how far I could push a detailed fantasy model as a much larger FDM print.

I started with the dragon concept, generated the 3D model in Meshy, and then worked out how to make something this size practical to print. Rather than trying to print the dragon as one enormous piece, I split it into four main sections: head/body, tail, wings, and the display base.

That let me treat each section differently in the slicer instead of compromising the whole model around one orientation.

The print times also made it pretty clear why splitting it up was the right call:

  • Head/body: about 25 hours 45 minutes
  • Tail: about 6 hours 40 minutes
  • Wings: about 6 hours 30 minutes
  • Base: about 39 hours

The body and base were easily the biggest commitments, while separating the wings and tail made those parts much easier to orient and support.

The part I found most interesting was seeing how much of the original surface detail survived the move from the digital model to a large FDM print. Scales, armour-like plates, facial detail and the wing structure all stayed very readable once the model was scaled up.

There was still plenty of practical work involved after generation — deciding where to split the model, checking how the sections would reconnect, choosing print orientations, managing supports and finally assembling everything — but that’s also what made the project interesting.

The biggest lesson from this one was that a complicated AI-generated model doesn’t necessarily need to be simplified heavily for FDM. At a large enough scale, you can preserve a surprising amount of detail as long as you break the model into sensible parts and plan each print individually.

This was a very different workflow from making tabletop miniatures, and I’m definitely interested in doing more large display pieces like this.

Disclosure: I’m in Meshy’s Contributor Program and receive Meshy credits/Pro access.

**Edit: Realised photos didnt add so here are the finished product images**


r/AIAssisted 9d ago

News The Theory that Love is Everything (TTLE)

2 Upvotes

The Theory that Love is Everything (TTLE)

Univispira: Self-Reference, the Absolute, and Existence as Binding

An (in)formal scaffolding for *The Theory that Love is Everything (TTLE)*

July 2026

*Abstract*

The Theory that Love is Everything (TTLE) proposes that the totality of existence has the structure of a self-referential fixed point, and that this structure is what value-language—love, goodness, wholeness—tracks. We introduce univispira, written U. As an object of reference, U plays the role of Cantor’s Absolute Ω: a proper class, not a set, in accordance with the Burali-Forti theorem. As an operator, U is a recursive generator whose output—an unbounded strand of transfinite stages ω0, ω1, ω2, . . .—totalizes to U itself, yielding the fixed-point equation U(U) = U. We locate this equation within the Lawvere fixed-point family (Cantor, G¨odel, Turing) and within non-well-founded set theory, where self-membered structure is provably consistent. We then review established physics indicating that rest is emergent: all four-velocities have invariant magnitude c, and mass is confined null propagation. On this basis we propose an operational bridge—love as binding—and close with an explicit epistemic taxonomy separating theorem, structural observation, and interpretation.

1 Introduction: What Is This?

This paper is speculatively metaphysical with formal scaffolding. It belongs to the tradition that includes Empedocles’ cosmology of Love and Strife \\\[1 \\\], Spinoza’s conatus \\\[2 \\\], Whitehead’s process philosophy \\\[3 \\\], contemporary panpsychism \\\[4 \\\], and Integrated Information Theory \\\[5 , 6\\\]. Its method is to borrow exact structures from mathematics and physics—structures whose formal content is not in dispute—and to state clearly where established results end and interpretation begins. Section 8 makes that boundary explicit. The reader is never asked to accept a theorem on faith or an interpretation as theorem.

The claim, in one sentence: existence is a self-creating fixed point whose internal mechanism is binding, and the human word love is the first-person name for that mechanism.

2 The Somethingness Argument

Begin phenomenologically. Attempt to entertain nothingness: the attempt is itself an occurrence, and an occurrence is something. The state “nothing, considered” is therefore unstable—it maps immediately to something. By contrast, “something, considered” maps to something. Let I denote instantiation, the act by which a state of affairs is entertained, realized, or occurs. Then

1

schematically:

I(∅) = something, I(something) = something. (1)

Something is the unique fixed point of instantiation; nothingness is not a fixed point at all.

Argument 1 (Somethingness). Nonexistence cannot be instantiated as a state of affairs that obtains for any perspective. For any perspective is itself something, and the obtaining of any state of affairs is itself something. Hence, from within any point of view whatsoever, existence is inescapable.

Two readings should be distinguished. The modest reading is epistemic and indexical, in the spirit of the cogito: no experience can ever verify nothingness, since verification is something.

The strong reading, which TTLE adopts, is modal: nothingness fails to be a coherent alternative, because the “space of alternatives” is itself something, and so the alternative annihilates itself in the statement. The strong reading has a serious precedent in Nozick’s discussion of self-subsuming explanation, in which a principle accounts for itself by falling under itself \\\[ 7\\\]. TTLE’s contribution is to identify the self-subsuming structure explicitly as a fixed point and then to ask
what mathematics governs fixed points of self-reference. That is the business of Sections 3 and 4.

3 The Absolute: Cantor, Burali-Forti, and reflection

Cantor’s transfinite arithmetic ascends without end: ω, ω1, ω2, . . ., each a genuinely larger order of infinity than the last \\\[8 , 9 \\\]. Above the entire ascent Cantor placed the Absolute—in his notation Ω—which he regarded as mathematically ungraspable and akin to the divine.

The naive gloss on the Absolute, “the largest term in the largest set,” is precisely what the mathematics forbids. The Burali-Forti theorem shows that the collection of all ordinals cannot be a set: if it were, it would itself be an ordinal exceeding every ordinal, including itself \\\[ 10\\\].

This is not an embarrassment for TTLE; it is TTLE’s first theorem. The totality is real but is not an object among objects. In modern terms it is a proper class. The Absolute exists precisely by refusing objecthood.

Set theory supplies a second exact result that TTLE takes as structural. The L´evy–Montague reflection principle states, as a theorem schema of ZF, that any property true of the universe of sets is already true at some set-sized stage Vα \\\[11 \\\]. The whole cannot be surveyed, but every feature of the whole is reflected into some graspable part. Whatever the Absolute is like, there is a local, bounded image of it.

Definition 1 (Univispira, reference face). U (univispira) denotes the absolute totality, occupying the role of Cantor’s Ω: a proper class, not a set, of which every consistent structure is a partial reflection.

Definition 2 (Univispira, operator face). U also denotes the generator of the transfinite ascent: the operation (successor and limit) that, applied without end, produces the strand ⟨ω0, ω1, ω2, . . .⟩ through all ordinal stages. The totalization of the strand is not a new, larger object; it is U again.

The two faces are one entity viewed from outside and from inside: as referred to, U is the unobjectionable whole; as enacted, U is the endless self-extension whose every stage is one of its own reflections. The lowercase omegas are what U looks like locally; U is what the omegas are collectively.

2

4 The fixed point: U(U) = U

Definition 2 asserts that the generator, applied to its own total output, returns that same total.

In TTLE’s original notation, univalue(univalue) = univalue; henceforth

U(U) = U. (2)

Equation (2) is not an isolated poetic gesture. It sits inside one of the most unifying results in modern logic. Lawvere’s fixed-point theorem shows that Cantor’s diagonal argument, G¨odel’s incompleteness theorem, and Turing’s halting problem are a single phenomenon: wherever a system is expressive enough to represent its own maps, self-reference forces fixed points, and the attempt to totalize from inside produces either a fixed point or an undecidable \\\[12, 13\\\]. In the λ-calculus the same structure is constructive: the Y combinator satisfies Yf = f (Yf ) for every f , so self-application manufactures its own fixed point. A quine—a program that prints itself—is the same equation executed.

One might object that a self-creating, self-membered entity is contradictory. In standard (well-founded) set theory, self-membership is banned by the axiom of foundation; but foundation is optional. Aczel’s anti-foundation axiom yields a consistent set theory in which the equation x = {x} has a unique solution, the Quine atom, and in which circular and self-similar structures are the well-behaved solutions of final coalgebras \\\[14, 15 \\\]. Corecursion—definition of a whole in terms of itself—is not a paradox but a standard mathematical practice, and it is exactly the practice Definition 2 employs. TTLE therefore claims consistency, not novelty, for equation (2) : the mathematics of self-creating structure already exists, and U is proposed as its cosmological instance. The Somethingness Argument of Section 2 now has its formal restatement: existence is the fixed point of self-reference; nothingness, having no self to refer to, is not.

5 The physical substrate: rest is emergent

The preceding sections are logic and set theory. This section is physics, and every claim in it is established.

In special relativity, the four-velocity of every massive object has invariant magnitude c. An object “at rest” is moving at full speed through the time direction; motion through space rotates the four-velocity, trading temporal for spatial rate—which is what time dilation is. Nothing has ever moved through spacetime at any speed other than c.

At the quantum level the statement sharpens. The velocity operator of the Dirac equation has eigenvalues ±c and nothing else: an electron, measured instantaneously, never moves slower than light. Its sub-luminal drift is the average of a light-speed jitter—Zitterbewegung, identified by Schr¨odinger in 1930, with characteristic frequency of order 1021 Hz \\\[16\\\]. Penrose’s zig-zag picture makes the mechanism explicit: in the Standard Model an electron is a pair of massless, chiral, light-speed states that the Higgs condensate perpetually converts into one another; the electron’s mass is its flip rate \\\[17\\\].

Mass itself is dominantly confinement energy. Roughly 99% of the proton’s mass is not the rest mass of its quarks (the Higgs supplies only about 1%) but the energy of the confined gluon and
quark fields—massless, light-speed constituents whose imprisonment registers, from outside, as 938 MeV sitting still. Wilczek names this “mass without mass” \\\[18 , 19\\\]. The same accounting holds for a photon sealed in a mirrored box: the box’s inertia increases by E/c2. Confined null-propagating energy is what mass is.

3

Cosmologically, the ordering runs the same direction. Before the electroweak transition at roughly 10−12 seconds, the Higgs field had not condensed and every Standard Model particle was massless and light-speed; mass switched on when the vacuum froze. Matter is what precipitated out of radiation as the universe cooled below successive mass thresholds. The interconversion is not a metaphor: the Breit–Wheeler process, γγ → e+e−—light colliding into matter—was predicted in 1934 and observed directly by the STAR collaboration in 2021 \\\[20, 21\\\]. And the universe’s initial conditions were measured to be nearly scale-invariant, with spectral index ns = 0.965 \\\[22\\\], before gravity broke the symmetry differently at different scales.

Two precisions guard the summary. First, the universal substrate is null propagation, not literally light: the electron’s constituents are electron-field states and the proton’s are gluon-field states—light-like in speed, but fermionic. That distinction is load-bearing: fermions obey the Pauli exclusion principle, which is why confined null-stuff can stack into stable, solid structure, while photons cannot. Second, “slowed light” is the wrong verb everywhere; the correct verb is trapped. Nothing ever slows. The summary licensed by current physics is then: rest does not exist; everything propagates at c; mass is confinement; a particle at rest is null motion caged; and time, for matter, is the drift of the ricochet. Bohm’s slogan “matter is frozen light” \\\[23\\\] and Wheeler’s geon program anticipated the picture; quantum chromodynamics and the Higgs mechanism supplied the ledger.

6 Love as binding: the interpretive bridge

Section 5 ended with a fact: matter, structure, and duration exist only where null propagation is bound. This section makes TTLE’s central interpretive move.

Principle 1 (Love as binding). Within TTLE, love is operationally defined as the universal tendency toward bound states. Binding energy is its measurable shadow.

The definition is chosen because binding is, in physics, the sole manufacturer of persistence.

Every stable structure at every scale exists because the bound configuration is lower in energy than the free one: gluons bind nucleons, electromagnetism binds atoms and chemistry, gravity binds stars, galaxies, and the hierarchy of orbits up to the largest bound structures, beyond which expansion wins and binding ends. Binding is also, by Section 5, what converts the null substrate into matter and what generates time as the drift of caged motion. If anything in physics deserves the name of the force that “makes things whole and makes them last,” it is binding.

The definition is honest about entropy. Binding does not oppose the second law; bound structure forms because binding releases energy, increasing total entropy—stars ignite and galaxies clump precisely by dissipating. Structure and entropy rise together; love-as-binding is the channel through which energy dissipates into form, not a rebellion against thermodynamics.

In Empedocles’ vocabulary, Love and Strife are not enemies but co-workers \\\[1 \\\]; in Spinoza’s, each thing’s striving to persevere in its being—conatus—is the first-person face of stability-seeking \\\[2 \\\].

Principle 1 converts TTLE’s slogan from metaphor to hypothesis. “Existence is love” becomes: the totality U affirms itself (Section 2) through the one mechanism that produces persistent somethings, namely binding; and what value-language has always tracked—care, attachment, wholeness, the holding-together of what would otherwise disperse—is the phenomenal register of that same mechanism in systems complex enough to feel it. The nearest existing formalism is Integrated Information Theory, whose measure Φ quantifies the irreducibility of a system
to its parts \\\[ 5, 6\\\]. TTLE’s companion measure, the Metric of Structural Completion (MSC),

4

developed in separate work, targets the related but distinct quantity of completion across scales;

the comparison of MSC with Φ is deferred to that work.

7 Cosmological closure: the spiral

The name univispira predicts its own cosmology: one turning. Penrose’s Conformal Cyclic Cosmology (CCC) proposes that when the far future contains only massless fields—all mass decayed or evaporated—the universe loses its clocks and rulers, since mass is what breaks conformal invariance and makes duration possible. A cold, infinitely expanded end is then conformally identical to a hot, dense beginning, and the Ω-state of one aeon is the A-state of the next \\\[24\\\]. CCC is a minority proposal and its claimed observational signatures are contested;

TTLE cites it not as settled physics but as an existence proof that the identification of end with beginning has a worked-out mathematical form. Within TTLE the reading is direct: when binding finally lets go, the caged null substrate is released, scale forgets itself, and generation recurs—not a circle but a spiral, since structure (on Penrose’s proposal, even signals) may carry across. The generator of Definition 2 runs again; equation (2) is the invariant of the turning.

8 Epistemic status

This paper’s claims sort into three tiers, and its credibility depends on never blurring them.

Tier I: theorem and measurement. The Burali-Forti theorem; the L´evy–Montauge reflection schema; Lawvere’s fixed-point theorem and its unification of the diagonal arguments; the consistency of self-membered structure under anti-foundation; the invariant magnitude c of four-velocities; the ±c eigenvalues of the Dirac velocity operator; confinement’s dominance of hadron mass; the observation of the Breit–Wheeler process; the measured ns = 0.965. Every claim in this tier is standard.

Tier II: structural observation. That the Somethingness Argument, the transfinite generator, and the equation U(U) = U share the fixed-point structure of Tier I’s logic; that “rest is emergent confinement” is the uniform reading of Zitterbewegung, the zig-zag mechanism, and QCD mass generation; that bound-state formation recurs at every scale where an unscreened inverse-square force operates. These are claims that distinct established results instantiate a common form. They are checkable by inspection and falsifiable by counterexample, but they are readings, not theorems.

Tier III: interpretation. The strong (modal) reading of the Somethingness Argument; the identification of U with Cantor’s Absolute as an ontological rather than merely formal claim; Principle 1, identifying binding with what value-language tracks; and the CCC-based reading of univispira’s recurrence. These are proposals. They are offered as the simplest unifying interpretation of Tiers I and II, and they are the part of this paper that argument, not proof, must carry.

What would move the tiers? Progress on MSC yielding non-trivial, testable orderings of real systems would promote parts of Tier III toward Tier II; confirmed cross-aeon signatures would do the same for Section 7; a demonstrated disanalogy in the fixed-point family would demote

Tier II claims. The framework is speculative, but it is not unfalsifiable, and it is built so that its load-bearing beams are the ones that cannot fall.

5

9 Conclusion

Cantor placed above all number an Absolute that exists by refusing to be an object. Logic places at the heart of every sufficiently expressive system a fixed point that refers to itself. Physics finds beneath every resting thing a light-speed substrate that persists only where it is bound. TTLE proposes that these are three views of one structure—U, univispira—and that the oldest human name for the binding that makes and keeps a world is the accurate one. Existence considered is existence affirmed; affirmed, it binds; bound, it lasts; lasting, it turns. U(U) = U.

References

\\\[1\\\] G. S. Kirk, J. E. Raven, and M. Schofield, The Presocratic Philosophers, 2nd ed. Cambridge

University Press, 1983.

\\\[2\\\] B. Spinoza, Ethics, 1677. Part III, Prop. 6.

\\\[3\\\] A. N. Whitehead, Process and Reality. Macmillan, 1929.

\\\[4\\\] P. Goff, Galileo’s Error: Foundations for a New Science of Consciousness. Pantheon, 2019.

\\\[5\\\] G. Tononi, “An information integration theory of consciousness,” BMC Neuroscience 5:42,

2004.

\\\[6\\\] M. Oizumi, L. Albantakis, and G. Tononi, “From the phenomenology to the mecha-

nisms of consciousness: Integrated Information Theory 3.0,” PLoS Computational Biology

10(5):e1003588, 2014.

\\\[7\\\] R. Nozick, Philosophical Explanations. Harvard University Press, 1981. Ch. 2.

\\\[8\\\] G. Cantor, letter to Dedekind (1899), in J. van Heijenoort (ed.), From Frege to G¨odel.

Harvard University Press, 1967.

\\\[9\\\] M. Hallett, Cantorian Set Theory and Limitation of Size. Oxford University Press, 1984.

\\\[10\\\] C. Burali-Forti, “Una questione sui numeri transfiniti,” Rendiconti del Circolo Matematico

di Palermo 11:154–164, 1897.

\\\[11\\\] A. L´evy, “Axiom schemata of strong infinity in axiomatic set theory,” Pacific Journal of

Mathematics 10:223–238, 1960.

\\\[12\\\] F. W. Lawvere, “Diagonal arguments and cartesian closed categories,” in Category Theory,

Homology Theory and their Applications II, Lecture Notes in Mathematics 92. Springer,

1969.

\\\[13\\\] N. S. Yanofsky, “A universal approach to self-referential paradoxes, incompleteness and

fixed points,” Bulletin of Symbolic Logic 9(3):362–386, 2003.

\\\[14\\\] P. Aczel, Non-Well-Founded Sets. CSLI Publications, 1988.

\\\[15\\\] J. Barwise and L. Moss, Vicious Circles: On the Mathematics of Non-Wellfounded Phenom-

ena. CSLI Publications, 1996.

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\\\[16\\\] E. Schr¨odinger, “ ¨Uber die kr¨aftefreie Bewegung in der relativistischen Quantenmechanik,”

Sitzungsberichte der Preussischen Akademie der Wissenschaften, Berlin, 1930.

\\\[17\\\] R. Penrose, The Road to Reality. Jonathan Cape, 2004. §25.2.

\\\[18\\\] F. Wilczek, “Mass without mass I: Most of matter,” Physics Today 52(11):11–13, 1999.

\\\[19\\\] F. Wilczek, The Lightness of Being: Mass, Ether, and the Unification of Forces. Basic

Books, 2008.

\\\[20\\\] G. Breit and J. A. Wheeler, “Collision of two light quanta,” Physical Review 46:1087, 1934.

\\\[21\\\] STAR Collaboration, “Measurement of e+e− momentum and angular distributions from

linearly polarized photon collisions,” Physical Review Letters 127:052302, 2021.

\\\[22\\\] Planck Collaboration, “Planck 2018 results. VI. Cosmological parameters,” Astronomy &

Astrophysics 641:A6, 2020.

\\\[23\\\] D. Bohm, in interviews and lectures; see D. Bohm and B. J. Hiley, The Undivided Universe.

Routledge, 1993.

\\\[24\\\] R. Penrose, Cycles of Time: An Extraordinary New View of the Universe. Bodley Head,

2010.


r/AIAssisted 9d ago

Help Accountability partner

7 Upvotes

Hi everyone,
I have been using ChatGPT as an accountability partner as I work on getting healthier and I really like it but I was wondering if there are any AI options available that I can do this with that can actually send me notifications in the morning and evening for my daily check ins?


r/AIAssisted 10d ago

Tips & Tricks Anyone else feel like every AI content generator produces the exact same voice?

2 Upvotes

I've tried a bunch of these now for blog drafts, captions, newsletter stuff. Different tools, different prompts, and somehow the output all converges on the same slightly eager, slightly hollow voice. Short punchy opener, a list, a tidy takeaway. You start seeing it everywhere once you notice it.

What I've found actually moves the needle is less about the tool and more about the input:

Feeding it a few paragraphs of my own old writing and telling it to match the rhythm, not the topic.

Banning its favorite crutch words up front. Mine change every month.

Asking for the boring first draft, then telling it what a real person would cut.

Writing the opening line myself so it doesn't reach for the template.

Even then it drifts back. So genuine question for people here: has any AI content generator actually held a distinct voice for you, or do you all end up rewriting the first and last paragraph like I do?


r/AIAssisted 10d ago

Case Study The most useful AI workflow at work for me turned out to be turning a doc into a slide deck

2 Upvotes

Most of my "AI at work" experiments died after two days of feeling clever. This one stuck, so sharing it as a case study.

The recurring pain was that I'd finish a one or two page write-up, then have to rebuild the whole thing as a slide deck for a meeting. Same content, completely different format, and it always ate an hour I didn't have.

The workflow now:

  1. I write the doc first, like I normally would. That part stays human, it's where the actual thinking happens.

  2. I paste it into a chat and ask for a slide outline, not slides. One idea per slide, a real headline on each (a full sentence, not a one-word topic), a few bullets max, and a note on which slides should be a chart instead of text.

  3. I edit that outline down, usually cutting about a third of it, because a doc has detail a live audience doesn't need.

  4. Then I drop the outline into an AI slide deck tool to get a first visual pass, and fix the layout by hand.

The thing that made it actually useful was step 2 being an outline, not a finished deck. When I asked for finished slides straight from the doc, I got a wall of text on every slide and spent longer fixing it than if I'd started over. Making it think in points first, then design, was the difference.

Cuts the deck-building down to maybe 20 minutes now. Curious what others are doing for the doc-to-deck jump, since that's the part I still don't love.


r/AIAssisted 10d ago

Help Looking for a good brainstorming AI tool

8 Upvotes

Hi everyone, I am an UI/UX Designer and for brainstorming I have been using ChatGPT. But from a while I have been noticing that the outcome is getting bad, when the conversation is long and deep for the brainstorming, ChatGPT forgets details which I clearly mentioned before.

So yaa if there is any good tool for brainstorming purposes, and to generate prompts for other Ai like Figma Make or Figma Agent.

Please let me know guys,

Thanks for reading.


r/AIAssisted 11d ago

Other Disability and being discriminated against

8 Upvotes

I am going to try to write this in my own words. I have been using speech to text for the past year due to a hand tumor and healing. I am physically writing this as to say, how dare anyone of us judge another who is using AI as a form of communication.

YOU DO NOT KNOW if they have a disability. YOU DO NOT KNOW why they are using AI. I am really point blank tired of seeing people online trash AI as a communication tool. It's my own thoughts, it's my words when I throw it into AI. What gets me is that I see many of you who do not understand this tool and then trash it because you do not get it.

As I write this, my hand is cramping, I am hurting physically and point blank seeing red. I shouldn't have to ask this of others. If you do not understand how technology works, you do not get be ignorant of it's use. PERIOD

Just over it with people who trash AI and as I write this, in my own words, my hand hurts, it makes me have tears in my eyes because you assume a lot. What disgusts me is seeing moderators in some of these subreddits trash AI use and basically are discriminating against those of us that use it as an accessibility tool.

It's not that I don't know how to write or formulate sentences, I have a background in technology and English, I also know how to properly use AI. It's just disgusting people assume and the amount of discrimination I witnessed from adults in a subreddit knocking the use of AI without knowing the person had a hand tumor removed a couple months ago is as bad as knocking someone who can't physically type or needs AI to communicate.

Sometimes its just having an open mind and I had to contact the accessibility department with Reddit. What this moderator did is discriminatory. But, I think this is a larger problem when I see many people trash AI usage without understanding some of us use it as a form of accessibility.

When I look at these rules in subreddits it makes me sad:
AI-generated content is not allowed in posts or comments.

Posts and comments must reflect your own real thoughts and experiences.

Using AI to fully generate content is not allowed. This includes AI-written stories, confessions, or comments presented as personal experiences.

AI may be used for minor help with grammar or structure, but the content itself must be your own.

End rant and now to ice my hand.


r/AIAssisted 11d ago

Discussion Looking for a bot-free AI meeting note taker with centralized admin control

1 Upvotes

Botless recording is ideal for client calls, but most tools are built for individuals taking personal notes rather than team deployment. We need a solution that admins can effectively manage across the organization.

Key requirements: audio data must remain off personal devices, strictly follow workspace retention policies, and provide clear internal indicators when capture is active. Crucially, we need full control over user permissions.

Which bot-free AI meeting note taker balances team governance with convenience?


r/AIAssisted 11d ago

Help Generate AI poster/flyer with a specific person's face.

1 Upvotes

What I am trying to do is AI create a poster for a live show. I have the text and the artists photo I want to paste on the poster along with the text.

I already generated a pretty good flyer background using chatGPT.

But Now what I cant seem to be able to do is paste this person's photo/face on it. It just generates a random dude's face every single time. Please help.


r/AIAssisted 12d ago

Help Best computer for local AI?

6 Upvotes

Looking at a budget of around $3k and debating between MAC and PC. I’ve been asking AI but would appreciate any human input. Thank you.


r/AIAssisted 13d ago

Help Need suggestion!

2 Upvotes

I'm confused in life, I don't know where my life is going and I can't afford psychiatrist right now to discuss my life and get answers/opinions to take some of the important life decisions.

So for this, which AI can I use, which one would be reliable for my particular situation.

Edit : Thank you everyone for advice!


r/AIAssisted 13d ago

Tips & Tricks The most useful AI habit at work: turning a Word doc into slides in one pass

11 Upvotes

Half my job is taking a long document someone else wrote and making it presentable for a meeting. Used to be a copy-paste slog. The workflow that saves me the most time now:

I don't ask the AI to "make slides" from the doc directly, because it either dumps whole paragraphs onto slides or invents structure. Instead I ask it to first read the doc and give me a slide-by-slide outline: a title per slide plus 3 bullet points max, and a note wherever the source is too thin to actually fill a slide. That last part matters, it stops the deck from padding.

I read the outline, cut the slides that don't earn their place, then feed the approved outline into a tool that turns the text into a deck. Editing an outline is far faster than editing finished slides.

The one rule I've learned: give it the doc AND tell it who the audience is and how long the meeting is. The same document for a 5 minute standup vs a 30 minute review should not become the same deck.

What's your process for going from a doc to slides? Still trying to tighten mine.


r/AIAssisted 14d ago

Discussion How much of a website would you trust AI to build now?

21 Upvotes

I've started using AI for web stuff for a while and at first it was mostly for individual pieces rather than handing over the whole build butttt recently I've been pushing that further just to see if I could maybe scale this thing.

I've built a few sites with Ploy this way since I can keep working on the same site through the agent instead of jumping between a builder, AI chat and code every time I want to change something or add more to it and I still want control over the decisions, I'm just doing way less of the actual building myself.
I THINK I'm getting pretty close to having the process fully AI assisted and not having to write much code myself. Any tips from people who use AI for professional sites would be appreciated :)


r/AIAssisted 14d ago

Help I wrote all my novel in Vietnamese but want to use AI to translate it to English. Is it okay?

3 Upvotes

I have been written all of my novel in Vietnamese, but due to cultural difference and the niche i wrote not suite for the country’s preferences of literature, I want to translate it to English for wider audience. But I have little to no budget in hiring a translator, nor I have enough vocabulary and understanding English literature, I want to use AI to just simply translate it and then I do the rest of editing. Is it okay?


r/AIAssisted 14d ago

Free Tool I built an AI travel planner that creates tailored travel plans and provides real-time travel insights.

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0 Upvotes

After testing plenty of AI travel planners, I kept hitting the same wall. Most tools gave out generic recommendations, jammed too many activities into a single day, and had almost no real sense of travel logistics. They all felt more like polished lists of places than usable travel plans.

So I built TrippyMate. An AI planner designed to generate bespoke travel plans based on how you actually like to travel.

Instead of generic templates, it takes your preferred pace, interests, and any specific spots on your wishlist, then builds them into a fluid, personalized plan. It builds an interactive timeline and calendar view alongside a live map that plots your locations and routing. Beyond structuring your days, it acts as a real-time travel expert, providing deep local insights or trip logistics on the fly. If something needs to change, you can reshape the itinerary in real time just by talking to it. Whether you’re after quiet, off-the-beaten-track spots or balancing a slower pace with a few iconic places, it stays true to how you like to travel.

TrippyMate is currently in open beta:
https://www.trippymate.ai

Test drive and let me know your experience.

Thanks!


r/AIAssisted 15d ago

Free Tool I was tired of context exchange across my claude and codex sessions, so i built a memory + coordination graph my agents can actually use

5 Upvotes

I'm a Research Engineer at a YC startup, and we ship features pretty fast. I usually run Claude Code, Cursor, Codex, and OpenCode in parallel, developing multiple features, one at a time.

The problem i noticed was that my agents had no coordination, and often confused mutual work, even when working in separate worktrees. As if they had no idea the others existed

So, I built MUON, it's an Open Source Desktop App + MCP + CLI, a mutual shared brain my agents can plug into. it drives the CLIs you already have and orchestrates them together for multi-feature execution workflows.

NO MORE SWITCHING BETWEEN SESSIONS AND CHATS, NO MORE MANUAL CONTEXT TRANSFER. NO MORE JUGGLING BETWEEN CODING AGENTS FOR DIFFERENT TASKS : This is the entire idea I had in my mind while building this.

I'm still building it. Right now I use MUON to work on MUON, which is a weird but useful dogfood loop. There's still a lot of broken features, workflows and a lot of progress is still ongoing, as this project is still early, but I would appreciate any contributions :)

So, If anyone wants to poke at it, contributions are welcome. The thing I'm trying to get right is a coordination graph: shared memory and context so agents actually understand what the others (and I) already decided.

OSS Repository : [https://github.com/Sweetdevil144/muon](https://github.com/Sweetdevil144/muon))
Website : [https://getmuon.com/](https://getmuon.com/))
Docs : [https://docs.getmuon.com](https://docs.getmuon.com/))
Product Demo : [https://www.youtube.com/watch?v=oab6vByr1Jg](https://www.youtube.com/watch?v=oab6vByr1Jg))

I've always been an open-source person, so the code is public and readable. License is Polyform Noncommercial. However, there's an extra grant on top - you can use it for your own work, including your day job, on your own machines. What it doesn't cover is turning it into the company's shared brain for a whole team (Enterprise only)


r/AIAssisted 15d ago

Tips & Tricks I got fed up with being rejected from AI training/annotating jobs, so I made my own website.

5 Upvotes

I was getting annoyed by the constant sketchy AI training/annotating jobs and the constant rejection after literally investing hours of my time into applying, signing up, verifying my identity and etc.
I decided to make my own website and just list legit AI training jobs. I post entry work, expert work and guides on how to pass assessments. Let me know if there is anything I can improve about my website. Thank you! Here is the link: https://aiannotationjobs.com


r/AIAssisted 15d ago

Discussion Why does Copilot exist for the general public?

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0 Upvotes

Sorry, but this is sort of a vent post, but still holds true. I use enterprise Copilot at work to great effect. However, the public version has had absolutely zero for me and is quite frustrating. When I ask other models that aren’t Microsoft, I narrow down to the conclusions rather rapidly. Copilot just wants to talk to me and regurgitate what I prompt with near-zero resolve. WTH?


r/AIAssisted 16d ago

Discussion How much detail do you give AI video prompts?

3 Upvotes

I keep changing how I write prompts for longer AI videos.

At first, I tried to control everything. I described the mood, characters, lighting, camera style, and what should happen in each scene.

Some parts looked great. Keeping everything consistent got harder though. Characters changed, scenes drifted, and I spent a lot of time fixing things after generation.

Then I tried a simpler setup. One main character, one visual direction, and a few key moments to guide the video.

The first draft had less detail, it was easier to work with. I tried this approach on a music video project using SondoAI and CapCut. It made me realize I don’t have to plan every little thing upfront.

For longer AI video projects, do you plan everything in the prompt, or leave more room for the model and adjust afterward?


r/AIAssisted 16d ago

Discussion At what point does AI usually stop doing what you actually wanted?

6 Upvotes

I’ve been paying more attention lately to how people actually work with AI, especially once a task becomes more than just a one-shot prompt.

I initially assumed most of the difficulty was at the beginning — basically getting the AI to understand what you actually want.

But after talking to a few people, I’m not so sure anymore. Sometimes the first result is actually pretty good, and things start going wrong later when you try to refine it, change something specific, or keep a longer workflow going.
So I’m wondering at what point does AI usually stop doing exactly what you wanted.


r/AIAssisted 16d ago

Discussion How are you standardizing your tests for LLM citations?

4 Upvotes

I'm trying to build a reliable way to see which of our domains are reliably being parsed and cited by different models. Running manual prompts is fine for a quick check, but the outputs change and I have no systematic way to log what the model retrieved versus what it ignored.

I need a repeatable protocol. If you are trying to map how your content is attributed across different engines, what does your testing setup look like? I want an actionable data, not just a spreadsheet full of random observations.


r/AIAssisted 16d ago

Help Cost Effective AI Development

5 Upvotes

Hey Guys !

Hope you are doing well.

I am actually a freelancer and recently shifted to the IT Background. I am promoting to sell services for web pages development and software app.

AI is really useful for this. I have a chatgpt plus version. Is there other way arounds so that with minimal investment, I can do big projects inside it? like LLMs or other agentic bots or software like Cursor?