Botline Anchor
The only WhatsApp AI grounded in your real catalog, your customers' real language, and your industry's real rules.
A five-layer middleware between every LLM call and every customer reply. It catches price hallucinations before they reach the customer, blocks recommendations of out-of-stock products, and stops language drift cold. Powered by a versioned rule registry that gets smarter with every tenant we onboard.
Three bugs in seven days. One pattern.
We audited a Pakistani electronics retailer's last 7 days of bot replies. We found a roughly 12% bug rate on a 25-reply spot check — and every bug fell into the same family: the model confidently asserted things that were not true about the catalog, the stock, or the customer's language. These three are the worst of them. Anchor was built to make every one of them impossible.
Five layers around every LLM call.
Anchor is not a single prompt. It is five distinct layers, each with its own job, each independently testable, each independently disable-able. Two of them run before the LLM call to make hallucinations less likely; two of them run after to catch what slipped through; the fifth keeps score so we know which rules are biting hardest and where the moat needs widening next.
The whole pipeline runs in-process inside the existing message service — no new container, no new network hop, no new SSL cert. Realistic added latency is 50–300ms p50.
If Anchor ever fails, your AI just falls back to baseline. It never breaks.
The most common reason teams hesitate to add a quality middleware is the fear of adding a new failure mode. We thought about that before writing the first line of code, and the architecture answers it directly.
Every Anchor call is wrapped in a 2-second timeout and a try/catch that logs to anchor_failures. If any layer crashes, times out, or returns garbage, the reply falls open to the bare LLM output — exactly what you get today, without Anchor.
The reliability invariant: Anchor's reliability is bounded above by Anchor's success rate, never below today's baseline. If every single Anchor layer crashes simultaneously, your customers get the same replies they get today. Anchor only adds upside.
The AI engine is interchangeable. The Codex is not.
Any competitor can swap their LLM provider in an afternoon. None of them can recreate four years of accumulated Pakistani-market grounding rules in less than two years. The Codex compounds with every tenant we onboard, every flagged reply we review, and every market quirk we encode.
Quality you can verify, on every reply, every tenant.
Most WhatsApp-AI vendors say “our AI is high-quality” and ask you to take it on faith. We don't. Every reply on the platform is scored on four axes — price, stock, language, vocabulary — and tracked continuously. If a tenant's number drops below 0.95, our team knows within an hour and a personal outreach goes out the same day.
Anchor is included in every plan. No upcharge, no metered tier, no “quality add-on”. It is just how every Botline tenant's AI works.
Get a WhatsApp AI that cannot lie about your prices.
Free plan to start. Anchor is on by default for every account from day one.