Real missions. Real deliverables.

A real automated project team that delivers 📋 Hard to believe because of the hand holding you do with the AI you use? We understand, but put in 9 months and solved the puzzle, plus how to do it economically Growther.ai is a dark factor, with a management team and 200 specialists that solve the problems and deliver your request It takes your request, writes the spec (you review), then follows the instructions, resolves gaps and quality, and notifies you for sign-off 🏭 Example produced a 8 pg summary PDF + 24 pg deployment plan All done free with local model, or if cloud AI services used then less than $2 Set it up today, and boost your productivity

Don't just prompt • 𝕊𝕔𝕙𝕖𝕕𝕦𝕝𝕖 real work, get real results Growther.ai automates the process end-to-end What's that mean? No back and forth • Your time freed You can focus elsewhere, on what really matters Tell C5 what you need • It adds details • Gets to work Analyzes, plans, solves its own issues, reviews, revises ↘️ Example shown auto produced a 9 pg summary PDF + 64 pg comprehensive transition proposal 𝔽𝕣𝕖𝕖 via Local LLMs, 𝑜𝑟 less than $14 via cloud services This job done on a desktop computer with running OpenSource models • data: accessible, secure, 𝕪𝕠𝕦𝕣𝕤 ➕ ➕ ➕ ➕ ➕ ➕ ➕ Pair a device securely: add jobs away from your desk

*Example shown here: 5 pg summary PDF + 15 pg plan *Produced for free, or less than $5 using cloud services Tell Growther.ai C5 what you need; it fills in details You focus elsewhere 🧘 ✔️️ It it gets to work ✔️️ Analyzes ✔️️ Solves its own issues *This job was done on a laptop with local models 💻 The data is yours, and you can choose any AI provider

Give it a job • It works while you focus • Then delivers ✔️ All the busy/prep work off your plate; less than $4 C5 can help you write the project spec, because our data shows that the depth of what goes in determines the quality of what comes out - it does any size task You get 200 specialist agent harnesses auto-assigned as needed, and a project team that work without bothering you, grades its own quality, solves its own problems, and then generates polished deliverables Plug in your jobs, set scheduled and repeat work Then go focus on what matters most ↘️ Example produced a 5 pg summary + 20 pg plan PDF This work was done privately on a laptop with local models, so it was FREE ✨ the total cost if it was connected to cloud models would have been $3.65 What makes this example even more impressive is that there were actually 67 agent steps, but the management team rejected 25 steps to raise the deliverable quality; 42 met acceptance criteria; <$4! 🧠 Growther.ai has done its homework through billions of training tokens and learned how to do agent work efficiently - thus not ballooning token context, which would normally compound and burn your budget C5 lets you connect to any local or cloud LLM provider and prioritize them, and which models are used for different types of jobs, to work smart & economically Setup different budget gates (token/cost/time) per task and daily, weekly, monthly or yearly with alert or stop actions Dashboards to let you keep an eye on the the accounting, productivity & self-learning over time Try it free: start small and scale up as needed If you love C5 and want to share it, we give bonuses

Your own automated project team ✔️ no back and forth ✔️ say what you want, get a deliverable Growther.ai helps you write a great spec, follows those instructions, resolves gaps and quality, then notifies you for HITL* sign-off It lets you focus, do other work, touch grass, go out for lunch, and sleep a full 8-hours while it keeps working 🩺️ Example produced a 3 pg summary PDF + 27 pg protocol using local models plus the Claude API Total cost less than $1 for Cloud inference with Claude Sonnet 5, and $24 savings, with most of the 24M tokens running through local LLMs C5 lets you mix local models and Cloud APIs, with priority for the kind of work, and it intelligently chooses which to use based on those preferences and real quality scores from its data science ✔️ It got the work done without bugging me, it reworked the steps until the quality score hit 96/100, it saved a ton of money by not balloon context (smart LLM work), and also using LLMs on the machine *HITL = Human-in-the-Loop. [A setting per task - it will ask you, or you can let it push the task to Done after it reaches the quality threshold you configure.]

Tell C5 what you need; it adds details It gets to work, analyzes, solves its own issues You focus elsewhere 🏋️ ↘️ Example auto produced a 5 pg summary + 25 pg product plan PDF All work done on a laptop with local models ‒ the data is yours and private; total cost less than $4

Tell C5 what you need; it fills in details Then it gets to work, analyzes, solves its own issues You focus elsewhere 🧘 ↘️ Example produced a 4 pg summary PDF + 55 pg report All work done on a desktop computer with local models ‒ the data is private; total cost less than $3