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Just friendly reminder - when you run out of Astra tokens, just use ChatGPT Pro with the Github connector.
It's a massively performant model. Although slower, it's much better at virtually everything (except computer use lol) than Even Astra 6 Xhigh.
And it's a completely seperate usage pool.
Frankly, when it comes to project planning, there's no better model. Adversarial review of Fable 5.1 Max + Astra 6 Pro? God tier.
With the plans they produce, right down to the small spike level - implementation with Grok 4.6 / Opus 5 / GLM 5.3 is totally reasonable. Just have GPT 6 Pro run a bug finding mission again when a workstream has completed. There won't be much, and the workhorses can fix anyway.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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AI Chatbot App — 40% Engagement Lift for a Customer Support Tool
Project description:
The client needed an AI chatbot app built from the ground up — no existing design, no reference, just a goal: make it feel human, fast and easy to use. I designed the full experience in Figma — mapping user flows, building wireframes, then crafting a clean high-fidelity UI with a smooth onboarding screen, contextual quick-reply chips and a minimal visual language that keeps focus on the conversation. Delivered with handoff-ready specs and a reusable component library.
Result:
→ +40% user engagement
→ −25% response time
→ Improved customer satisfaction
Wowwwww I like the aesthetics
Context-switching across editors, manual boilerplate coding, and opaque agent execution often turn software development into a tedious chore.
With Mainline, we structured a high-contrast digital workspace that makes automated code editing, performance benchmarks (12.5M+ lines of code processed), and tool ecosystem integrations (GitHub, Linear, Slack) effortlessly scannable across desktop, tablet, and mobile displays. Curious how we balanced deep developer data with a modern high-tech aesthetic?
Click the Case Study link below to explore the complete design process and component breakdowns! 💻⚡️👇
AI Workflow Architect is now live in the ChatGPT Plugin Directory. 🎉
A lot of businesses know they want to automate more — but the harder question is usually:
What should actually be automated, what needs fixing first, and what should stay human?
That’s what I built AI Workflow Architect to help with.
You can give it a real workflow — client onboarding, approvals, handoffs, internal operations — and it helps identify:
• the main bottleneck
• automation readiness
• missing information
• human responsibilities
• controls and safeguards
• the most important next step
The goal isn’t to automate everything.
It’s to make better decisions about where automation will actually help.
The plugin has now been reviewed and approved and is available publicly in ChatGPT.
If you want to go beyond the initial assessment, I also offer the Complete Automation Blueprint, where I turn the workflow into a structured future-state architecture with ownership, controls, exception paths and an implementation sequence.
AI Workflow Architect — Find what to automate.
“What should stay human” is the right wedge for a ChatGPT plugin — most teams automate the wrong step first. Public directory listing is a nice proof point.
