It s been a week since we launched Ovren - and I just want to say a genuine thank you.
We built Ovren because every team has backlog work that never makes it into a sprint. Not more ideas. Not more AI suggestions. Real engineering work that needs to get shipped.
So we launched Ovren as an AI engineering execution product for real backlog tasks: AI frontend and backend engineers that work inside your real codebase, execute scoped work, and return reviewable code updates.
Production-ready code with minimal oversight, and it can verify its own outputs More control over reasoning effort 3x better vision (now up to 3.75MP images) Improved instruction following and overall reliability New xhigh reasoning mode for finer control between speed and depth
Same pricing as Opus 4.6 ($5 and $25 per million input and output tokens). The new tokenizer can use around 1.0 to 1.35x more tokens depending on content, though this can be managed through effort settings and task budgets.
Big update. The optimizer can now prioritize high-traffic rooms over hallways and closets. Shoutout to @yotam_dahan who suggested density-aware placement.
Room type assignment - Right-click any room to tag it with a type from 46 presets across 6 building categories (commercial, residential, education, healthcare, hospitality, industrial). Each type carries a device density sourced from Cisco, IBC, and industry planning guides. Densities are fully adjustable per room. Custom type lets you name rooms whatever you want.
In November 25, AI Context Flow was #1 Product of the Day and #1 Productivity Tool of the Week. It was surreal.
Since then, we have been building in public, together with this amazing community here.
You believed in this before it was polished. You gave us feedback when it was rough. You kept asking for more and that pushed us to build more, and we delivered more.
Most agencies are missing a huge blind spot in their client reports right now. Not because they are bad at their job. Because the game changed and nobody sent a memo. More and more of your clients customers are skipping Google entirely. They go straight to ChatGPT or Perplexity, ask a question, get an answer, and click the brand that gets mentioned. If your client is not getting mentioned? They are losing leads they do not even know exist. I spent the last few months figuring out how to track this properly and turn it into a service agencies can actually sell. Not some complicated AI audit. Just a simple monthly report that shows clients where they stand in AI search, how their competitors are doing, and what to do about it. Agencies adding this are charging between $200 and $500 extra per month per client for it. The conversation is easy because the data is new and clients have never seen it before. I wrote a free playbook covering the whole thing. What AI visibility actually is. The metrics to track. A script for pitching it. A sample report structure. And a 7-day checklist to get your first report delivered. Download here. If you are running an agency and you have been looking for a way to grow revenue without growing your client list, this might be the one.
Not a launch post. Just things I wish someone had written down before I spent a month figuring them out.
1. LLMs send partial payloads on write operations
You ask the agent to update a record. It sends only the fields you mentioned in the prompt. The PUT request goes through, returns 200, and you've silently wiped every field you didn't specify.
The fix: before every write call, fetch the current resource state via the companion GET endpoint and deep-merge the LLM's payload on top. The LLM only needs to specify what's changing the executor fills in the rest.
Quick one. I've been building software for over 20 years, and I've never done a seasonal discount before. But we just passed 40 free users, and I wanted to give people a reason to jump in this weekend.
The offer:
- Monthly plan locked in at $10/month (normally $29/month)
- That's 66% off, and the rate stays for as long as your subscription is active
Every time I built a dashboard for one client, I had to rebuild it for the next. Creating clients, reports, dashboards, data sources felt like clicking through ten different pages just to do one simple thing
So we made some changes
Now in ZapDigits
You can create everything from the sidebar. No more jumping around Any dashboard can become a template you reuse Templates have their own gallery so you can see yours and ours in one place More Google Analytics metrics to get better insights Each dashboard can have its own look
Road to 1,000,000 Votap users Day 60 | Current: 1294 Over 100 users have already chosen their fate. Will you be the next? That s how many people have already generated their username through the new update. Now onto step two: I m currently working on making conversations actually feel like conversations. You ll be able to: tag the person you re replying to get notified when someone responds go back and forth in proper threads Not just random one-off comments anymore. Download Votap from the App Store if you want to try it when it comes out. More tomorrow.
