DBB Software

04/06/2026

Most teams overpay for AI chatbots. We didn't.

Here's the 6-week playbook we used to ship our own Gen AI chatbot for ~$25/mo:

Week 1. Define goals and use cases

Start with the problem:
- Customer support?
- Lead qualification?
- Onboarding?

Lock the channels (web, WhatsApp, Slack), the audience, and the 3 metrics that actually matter: resolution rate, CSAT, and cost per conversation.

Week 1–2. Conversation design

This is the step everyone skips and it's the one that decides whether users like your bot.

Map the user journeys, set the tone, plan fallbacks, and define exactly when the bot should escalate to a human (low confidence, frustration signals, sensitive topics, explicit "talk to a human" requests). Build for v1, not for the perfect vision.

Week 2. Choose your stack

Four real decisions:
- LLM provider (GPT, Claude, Gemini, or open-source),
- framework (Vercel AI SDK, LangChain, Rasa, or custom),
- data layer (RAG vs tool-augmented / MCP),
- hosting (cloud vs on-prem if HIPAA/SOC 2 applies).

Week 2–4. Build the core bot

Intent recognition, response generation, integrations with your CRM/CMS/calendar, lead qualification flows, and multi-turn context.

If it's an MVP, ship 1–2 use cases first - don't try to solve everything.

Week 3–4. Security & compliance

Auth, rate limiting, input validation, and encryption from the start, not bolted on later.

For regulated industries add GDPR consent, HIPAA-compliant data handling, and audit trails. This step alone can add 30–50% to the timeline.

Week 4–5. Testing

Chatbot testing is not standard QA.

Test conversation flow regression, adversarial prompt injection, hallucination spot-checks, and role adherence. Automate the adversarial tests - manual testing will miss the edge cases.

Week 5–6. Deploy and monitor

Roll out in stages: internal team → beta users → production.

Wire up observability with Langfuse, LangSmith, or Arize so you see every conversation, every token, every cost.

Ongoing. Optimise and iterate

Weekly: review resolution rate, fallback rate, CSAT, cost per chat.
Monthly: deep-dive logs, A/B test response strategies.
Quarterly: audit knowledge base, review security logs, decide whether to expand scope.

Want the full build doc with our exact stack and security checklist?
Drop a "+" in the comments.

04/06/2026

The global chatbot market hit $9.56 billion in 2025 and is on track for $41.2 billion by 2033.

Lesson: businesses that don't automate customer engagement now will fall behind.

If you still need more reasons to add a custom AI chatbot to your website, here's the case:

For CTOs & CIOs — technical flexibility + no vendor lock-in

🔹 Provider-agnostic - swap LLM vendors with one environment variable. If a cheaper or better model launches next quarter, you're free to move.

🔹 MCP interoperability - Model Context Protocol now has 97M monthly SDK downloads and is supported by OpenAI, Google, Anthropic, Microsoft, and Amazon. Open standard, not proprietary lock-in.

🔹 Tool-augmented generation - the bot fetches exact data in real time instead of guessing at similarity matches in a vector DB.

🔹 Linear cost scaling - LLM pricing scales with usage, not seats or tiers. Per-session budgets and prompt caching cut up to 90% on repeated context.

For Operations Managers - less manual work & better data

🔹 Zero-maintenance content sync - the bot pulls directly from your CMS. Update a page, the bot knows immediately. No retraining, no stale FAQs.

🔹 Structured lead data - you get validated BANT fields (budget, authority, need, timeline) straight into Slack. No parsing transcripts, no guessing.

🔹 24/7 availability - consistent answers at 3 a.m. on a Saturday, which is what customers now expect.

For CEOs & CFOs - ROI that compounds

🔹 Up to 30% reduction in support costs as routine queries get handled automatically.

🔹 40× cost advantage at scale - $25/month vs $1,200–$5,000/month for enterprise SaaS. About $0.015 per conversation vs $1–$6 SaaS resolutions.

🔹 No per-seat or per-conversation pricing - costs don't spike when usage does.

Want us to build one for your site?
DM us - we'll spec it in a single call.

04/06/2026

We launched our own AI live chat on DBB Software website 🤖

And we already see the results: higher conversions, a 40× cost advantage over SaaS chat tools, zero-maintenance content sync, and pre-qualified leads.

Most businesses either skip live chat entirely or pay $1,200–$5,000/month for a SaaS bot that goes stale the moment their content changes.

We decided to stop leaving conversions on the table and build something that actually understands our website.

Here's what we did:

1. Tool-augmented content intelligence.

Now AI decides which of 16 tools to call and pulls live content straight from our CMS, so nothing is ever stale.

2. Structured BANT lead qualification.

Budget, project stage, industry, timeline, and engagement model captured as validated fields, with GDPR consent enforced at the schema level.

3. Context-aware engagement.

Our bot greets visitors differently based on where they came from (Clutch, LinkedIn, Google), remembers returning users, and auto-opens for high-intent behaviour.

4. 9-layer security and cost control.

Every request passes auth, rate limits, CSRF, schema validation, and an AI input filter; per-session token budgets and a kill switch keep costs predictable.

5. Full observability.

Every conversation is traced in Langfuse, errors in Sentry, interactions in GA4, so we know exactly what each chat costs and what it converts.

One developer + AI, 4 weeks.

If you want the same thing on your website - save ~$1,000/month and turn website traffic into qualified leads - send us a message [email protected] 💬

29/04/2026

That's a wrap on another DBB Software webinar 🎉

Mina Morkos just hosted another packed session with our community of founders and product builders and the energy was absolutely incredible!

This time we covered three things every founder is wrestling with right now:

- building the MVP process in the AI era & what's actually changed
- how to go to market without burning runway
- real development questions founders face every day

Huge thank you to everyone who joined, asked sharp questions, and turned this into the kind of conversation we love.

🎁 Recording + practical recap coming for free - just drop a "+" in the comments and we'll send everything straight to you!

Until the next one!

06/03/2026

We’re always excited to receive feedback from our clients and this one made our day! 🎉

A huge thank you to our client for sharing such a thoughtful review on Clutch.

These kind words mean a world to our team and are a big source of motivation for us to keep doing our best.

For this project, our team at DBB Software had the pleasure of supporting the development of a real estate platform by:

- integrating third-party services such as mapping, CRM, and notification systems
- setting up scalable cloud infrastructure on AWS
- expanding the client’s development capacity with front-end and back-end engineers
- building property listing interfaces, search functionality, and user dashboards
- developing backend APIs for property data management, filtering, and user authentication

Our developers smoothlyintegrated into the client’s workflow. They were joining daily standups, collaborating through Jira, and aligning with sprint planning and code review processes.

Thank you again for your trust!

It’s a pleasure to work together and contribute to your platform’s growth!

26/02/2026

Mina Morkos has just hosted our second-ever webinar — this time focused on scaling vibe-coded PoCs.

The energy was absolutely incredible!

It was such a pleasure meeting all of you, exchanging ideas, and feeling the excitement around building, scaling, and doing things the right way.

Missed it or want to revisit the insights?

We’ve got you covered 👇

Webinar recording: https://www.youtube.com/watch?v=URRfPr_sfMY&list=LL&index=1&t=1503s

We also prepared a practical manual for free! Just drop a “+” in the comments, and we’ll send everything straight to you!

Huge thanks to everyone who joined – this community keeps getting better and better!

If you’ve built a PoC with vibe coding, you’re already ahead of most founders. You tested assumptions, showed it to users, proved it works.But then reality h...

18/02/2026

What an incredible way to kick off 2026! 🎉✨

Our year started with the most pleasant meetings, and we couldn’t be happier!

Our amazing clients, Alfie Willis and Keith Willis from Choo Choo, visited us at our office in Kraków!

It was such a joy spending time together, talking about future plans, celebrating current achievements, and discussing the next steps of our ongoing collaboration.

Once again, we’re so happy to have met you in person, guys – and we’re incredibly proud of what you’re building with Choo Choo! 🚀

Choo Choo is a promising startup on a mission to make booking and buying train tickets simple and convenient.

They provide an alternative to outdated rail-ticketing platforms with an optimized user flow and a user-focused UI.

If you’re in the UK, make sure to download the app and enjoy smoother travels! 🚆💙