SmartPack

@anveoice

thanks for this — you nailed exactly why I framed it as identity instead of prompts.

Prompts are throwaway; identity is the system that doesn't reset when you close the tab. The dogfooding part was accidental at first, but yeah… once I realized the tool was bootstrapping itself, I knew it wasn't just another wrapper. If you're up for testing the Pro layer (where boundaries and pattern detection really lock in), I'd love to hear how it holds up in your workflow. No rush — we're all figuring this out together.

@MichaelSmit

thanks man! Means a lot coming from here. If you end up testing the free tier (3 assistants to play with persistence), hit me up with how it feels in your workflow. No pressure, just curious if it clicks for others too.

@Ayesha

thanks — the meta-loop was accidental but once it started bootstrapping itself, it felt like the ultimate validation signal. love that you're building SaaSurfer with Cursor + Claude — we're in the same grind.SmartPack keeps assistants siloed by design (each lives in its own chat/session in any LLM, so no native inter-communication). But that's the real power: you become the messenger/orchestrator.

• Swap messages or outputs between chats

• Clone an assistant and feed it history/knowledge from previous ones

• After some time, extract summary/history from two chats and create a fresh assistant with combined knowledge + updated role/objective/skills/boundaries

Maximum creativity: it's a system of specialists you remix freely, fully customizable per user. For a "Demand Validation" role it shines — fixed ruthless critic with priorities on pain/market/falsifiability that never forgets the lens. FREE tier has 3 slots to play right away. If you want the prompt blueprint I use for validation assistants (or how I chain them), just say the word. We're all hacking our own leverage with AI — let's see what sticks for SaaSurfer!

@anveoice

Spot on — the identity vs prompting distinction is everything. Consistency is the real bottleneck, not raw capability. And yeah, the same pattern shows up in dev workflows too. Super sharp observation. as you probably guessed, I actually built a dedicated “Pricing Strategy” assistant inside SmartPack just for this.
Fed it a ton of context: historical pricing data from similar tools, symbolic value, perceived vs real value, acceptable price thresholds, competitor benchmarks, bootstrap reality, and long-term retention psychology.The Free/Pro/Infinity split came directly from what that assistant recommended after many iterations. The goal was: generous enough that serious people feel the difference immediately, but not so generous that Pro feels unnecessary.Would love to hear your take on where the line should be — always refining this.If you want to see the exact pricing assistant blueprint I used (or test it yourself), just say the word, i recommend you to create your own assistant tailored at your needs, not at my needs, if you get what i mean.

@aryamnk

Thanks — really sharp take on the invisible friction becoming shared demand.From what I’m seeing, the strongest chaos right now is scattered across segments:

• Indie builders doing long iterative work (coding agents, content systems, validation loops)

• Early SaaS founders mapping demand/strategy (context loss kills momentum fast)

• Researchers & writers who need persistent thinking partners

• Dev teams jumping between tools (each switch = full context rebuild)

The real unlock isn’t just better prompts — it’s treating them as identities, not disposable task bots. Once you start designing identities with creativity (role, boundaries, values, evolution rules), your whole relationship with AI changes. You get better at shaping them → they get better at helping you → you shape even better ones. It becomes a true virtuous circle, activated in any LLM.That’s the part that surprised me most.If you expand the creativity when designing your assistants, you can basically get whatever result profile you want. The tool just gives you the structure to make that flywheel real.Curious what kind of identity you’d build first for your workflow.

@SergioX3

Thanks man, really glad it resonates — your shift from “ask and hope” to specialized roles is exactly the transition I was chasing too. Building SunPath sounds like a perfect use case.Yes — defining strict constraints improved output quality way more than just listing capabilities. In SmartPack, the “Important Detailed Features” section (check the tooltip) is where the magic happens. It’s the best place to give the assistant deep identity: both positive context (what it should do, values, style) and negative context (what it must never do, hard limits, anti-patterns, axioms). Being brutally honest when writing those limits makes a massive difference.Some identities work better when they’re highly creative, others shine when they’re almost monotonous and disciplined — depends on the role.There’s also a short video tutorial inside the app that explains “Skills” and “IDF” (Important Detailed Features/Identity Definition Framework) and how to use them optimally, especially when you’re still building your own method.Would love to hear how it feels if you test it with your iOS/product roles. No pressure, just curious.If you want, I can send you the exact prompt structure I use for dev roles, but its best for you to create your own at your own size.

@SonuGoswami

This is exactly it.The deepest unlock isn’t persistence — it’s narrative infrastructure. Most teams don’t have a context problem, they have a story problem. Nothing stable to persist.And here’s where it gets interesting:Imagine every member of a team quietly improving their own internal narrative, iteration after iteration, while executing at high speed. No longer “work on the project OR work on myself” — both happen simultaneously, passively, automatically. you deregulate cognitive friction at the identity level without anyone forcing or managing anyone else. Just by working. The assistants become mirrors that gently remove the self-imposed barriers life stacked on us.A boss will never say “resolve your traumas or integrate your shadow to be more effective.”
SmartPack does it in the background, especially when you run it as a true system of multiple specialized identities instead of one generalist.Infinity is the layer where those deeper mental barriers actually start dissolving.That’s the real flywheel.What you’re describing is why I built it this way.Curious — have you seen this kind of narrative deregulation happening in any of the teams you work with?

@VitaliiVelehan

Дякую! Радий, що зацікавило Якщо цікаво подивитись як це працює на практиці (без ресетів контексту та дрифту), лінк є в оригінальному пості. Free tier дає 3 асистента для тесту. Розкажи, якщо відгукнеться або здасться чимось незвичайним.

@GissurPorRunarsson Spot on — AI infra is commoditizing insanely fast. Access is already table stakes; the real moat is shifting to distribution, positioning, and narrative ownership.On self-hosted users: support overhead stays minimal. SmartPack is pure prompt blueprint — no backend, no hosting, no API calls on our side. Users copy-paste the activator prompt into whatever LLM they run (ChatGPT, Claude, Gemini, local Llama, Mistral, whatever). If something "fails" in output, it's almost always:

• restrictive policies of that specific LLM

• or simply the path the user is on (maybe not the right moment, wrong identity design, or they need to iterate more)

We only handle support for account/access issues or bugs inside our domain (landing, prompt generation, billing). Everything after the copy-paste is on the user's LLM runtime — which is actually a feature: the more personalized/custom/self-hosted their setup gets, the more value SmartPack unlocks, because there's more raw material to shape richer, more stable identities.While better LLMs keep coming, SmartPack just scales with them automatically.I think intelligence isn't your raw IQ or intellectual capacity — it's what you decide to do with whatever God or the universe gave you. SmartPack amplifies total intelligence between human-AI, letting you max out the use of your own capacities and tools at your unique pace and sequence. No forced speed, no generic path — your rhythm, your narrative.Curious — what positioning moat do you see holding up longest in this commoditized infra world? Narrative? Distribution? Something else?(Thanks for the sharp take — love when someone spots the infra → positioning shift this cleanly.)

@TomásMartínez Exactly, rebuilding instructions every session is exhausting — months of that tax adds up fast.The meta part wasn't me "building the tool with the tool before it existed" — it was the tool gradually emerging through iterations. I was basically the intermediary because the LLM itself couldn't physically do it alone.For that exact pain (long-term consistency without constant rebuilds), Pro is ideal right now.

Free is too limited for serious long sessions.

Infinity is overkill unless you're already deep into narrative/identity work. Pro gives you enough depth to feel the difference immediately.If you're up for it, start by clicking the link in my profile. (pro tier today is where that reset frustration actually disappears.)Let me know if it clicks for your workflow.

@KushalAgrawal

Thanks — glad it resonates. Turning "AI friction" into a full system of persistent assistants was the whole point you're spot on with the evolving context issue — "source of truth" drift over time is brutal, especially when docs/workflows change. Tools like Context 7 are tackling it on the doc side, and it's a real gap.SmartPack doesn't have native sync with living docs yet (it's pure prompt-based, no external memory or file watchers), but because it's identity-focused, you can manually refresh it: extract updated knowledge/summary from docs, clone the assistant, feed the new context + tweak boundaries/priorities. It's manual orchestration, but it keeps the identity alive without silent staleness.For now, start slow to really feel the shift:

Free tier (3 assistants) is enough to test the core persistence and see if it clicks in your workflow.

If you hit the limit fast (sounds like you might, given your depth), Pro is the sweet spot right now — more depth, no frustration on longer sessions.

By what you're describing (deep thinking on evolving context, source of truth, long-term power), you're headed straight to Infinity power user territory in the long run — that's where the narrative/identity evolution gets really interesting.

No rush — feel the change step by step. Link is in the post if you want to try.

how it feels if you test it on your workflows.

@Conradx

Hi! Thanks for dropping in

If the post hit you, feel free to check the link in the original — free tier has 3 assistants to test persistence without any commitment. Let me know if anything clicks or feels off.

@BhavinAllInOneTools Thanks — spot on. The shift from "better prompts" to "clear role + constraints" is huge. Treating it as a system instead of a chat changes output quality overnight.On preventing assistant sprawl over time:
SmartPack has a cloning feature built-in. You can clone an assistant to keep it fresh — same core identity, but without the accumulated context weight (so it doesn't slow down or get bloated). You can also merge assistants (combine two into one, fusing knowledge/history/priorities) or split them further (divide work into more specialized identities). The customization possibilities are almost limitless — it really goes as far as the user's creativity and imagination. As you master AI and this "strange system" of assistants, it lowers mental barriers, preconcepts, and biases, expanding how you approach projects or goals.The core information (project mission, central context, values) passes from generation to generation of assistants — reducing "broken telephone" risk to almost zero. Ironic, but I literally couldn't have built SmartPack without SmartPack doing most of the heavy lifting haha.Curious — how do you currently handle sprawl in your own assistants? Do you prune/merge manually or have a different ritual?

@AjayiEbenez

Thanks! Right now everything is manual on purpose — to really validate and feel the friction myself before scaling. All movements (acquisition, feedback, positioning decisions) are directed by one assistant I built in SmartPack itself(say hi). It's my "growth & strategy" brain — I feed it updates and it keeps narrative consistent without resets. Couldn't be any other way haha. in the future, I'll create another dedicated assistant just for managing paid ads decisions (budget allocation, targeting, creative testing, ROI tracking). Once I decide to run any, I'll hand it over to that assistant.Thanks again for the question — love the builder mindset here.

@Orlando

Thanks man!

Glad it feels fun — that's the vibe I was going for. If the "nice" part is the persistence/no-reset thing, give the free tier a quick spin (3 assistants to test). Link's in the post. Let me know if it keeps being fun once you try it.

@Hassan_Cheema

Thanks — glad the "identity + structure" framing landed. SmartPack will always keep redesigning/evolving itself — it basically created itself through iterations, and I just allowed it to happen. As long as I keep using it, it refines its own identity and structure over time. No fixed roadmap; it's alive.Right now I'm juggling several projects at once (some more advanced than others), but SmartPack is must-use in all of them. One of them even turned into a real US product sales business — built entirely in collaboration between me, my partner, and our "3rd CEO": a SmartPack assistant we started with. Over time it spawned dozens more (cloning, updating, splitting tasks, creating specialized guides for EVERY part of the business).It's wild how one persistent identity can birth an entire ecosystem of assistants that guide you through everything.Curious — how do you decide what to build next in your own projects? Feedback loops, intuition, or something else?