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Anka Diversify — AI-Native Project Management Platform
A full-stack SaaS platform built for software teams, with AI woven into the core workflow rather than bolted on as a feature.
The centerpiece is an autonomous AI coding agent built on the Anthropic and OpenAI APIs using tool-use and multi-step planning. Give it a task, and it plans the necessary code changes across multiple files, generates the implementation, presents a reviewable diff, and pushes directly to GitHub once approved, handling multi-file commits properly via the GitHub API's tree and blob objects.
Getting this to work reliably in production, not just in demos, was the real engineering challenge. LLM output isn't always clean: malformed JSON, inconsistent formatting, file references that don't match the actual repo. I built a validation and retry layer that checks structure and re-prompts with corrective context on failure, plus logging to catch failure patterns before they hit users.
Beyond the coding agent, the platform includes a project-scoped AI assistant with repo context injection (a lightweight RAG pattern), real-time team chat, Kanban boards with drag-and-drop, sprint planning, S3 file uploads, and role-based access control.
Stack: Next.js 16, React 19, TypeScript, Tailwind CSS, Shadcn/UI, Express 5, Prisma 5, PostgreSQL, Anthropic API, OpenAI API
The network for creativity
Join 1.25M professional creatives like you
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3 Page landing btw. Somehow ended up with dark versions, light versions, a whole DS and like 6 card explorations.
Is this overexploring or is this just the job? Genuinely asking. 🧠
Man, this is wonderful and modern
Meet UNFORMED, my new Framer template for independent creative studios and agencies. 🖤💚
I wanted to build something that doesn’t play it safe. Most studio sites look the same, so this one leans into huge condensed type, a warm off-white and black palette, and one loud lime accent.
A few things I’m proud of:
A draggable chrome object in the hero. Grab it and break the frame.
A type experiment where visitors drag the words to make their own composition, and it works by keyboard too.
CMS case studies, an accordion services section and a live local clock.
Fully responsive, with clean text and colour styles and a template guide to help you set it up.
Pages: Home, Work, Project, Studio, Capabilities, Contact and a Template guide.
Built for studios that want their site to have a point of view. Would love to hear what you think.
Why AI Agent Demos Break in Production
An AI agent demo only has to work once, on a clean input, with you watching. In production it runs again and again on messy real inputs, and nobody's watching.
I've built AI into real products, from a repricing engine that runs 24/7 for a US Amazon seller to a voice automation platform for a company in Germany. These are the three things I put in place before any agent goes live:
1. Scoped tools, not open access
Give the agent a short list of actions it's allowed to take, each with its own limits, instead of raw access to your database or APIs. Anything that touches money, customers or deleting data needs a human to approve it.
2. A plan for when the model fails
Model calls are slow, they time out, and sometimes they return something that makes no sense. Run agent work in background jobs with timeouts and retries, check the output before acting on it, and hand the task to a person when it still can't be trusted.
3. A log of every decision
Store every input, tool call and output. When the agent does something strange (and at some point it will), you can see exactly why and fix it instead of guessing.
None of this shows up in a demo. All of it decides whether the agent is still running a month later.
Planning an AI agent for your product? I offer a free build audit: calendly.com/roshaanali-business
