How this differs from Custom AI Agent Development
Custom AI Agent Development is a standalone agent or conversational layer — a distinct executor. This page is about AI embedded as one feature inside a fuller web/mobile product (Web Application Development, Mobile App Development) — search, extraction, scoring — alongside the product's other, non-AI functionality.
The feature types we build
- AI search and knowledge-base search over your own content
- Document processing and structured extraction
- Classification and scoring — the same pattern behind Freelance Hunter AI and the Tender Broker Agent internally (see [Portfolio](/ai/portfolio/))
- Recommendations
- Summarisation of long content into something scannable
- Copilots — a bounded, task-specific assistant inside the product's own UI
- Workflow decisions — the AI proposes, a human or a rule confirms
Confidence thresholds and human review
Every AI feature that takes or proposes an action has a defined confidence threshold below which it defers to a human, rather than guessing silently — the same discipline described in Common AI Lead Qualification Mistakes and How to Handle AI Agent Failures and Retries, applied inside a product rather than a standalone agent.
Auditability, permissions and cost controls
AI decisions inside a product need to be traceable (what was decided, on what input, when) for accountability — and usage needs cost controls (rate limits, caching, model-tier selection) so an AI feature's running cost stays predictable rather than open-ended.
Fallback logic
Every AI feature has a defined fallback for when the underlying model call fails or times out — the rest of the product keeps working; the AI feature degrades gracefully rather than breaking the whole application. See What Happens When an AI Automation Fails for the general principle.
Questions
Is this the same as adding a chatbot to our site?+
No — a chatbot is one specific interface pattern; this covers AI features (search, extraction, scoring, copilots) embedded inside a working product's actual workflow.
Can this be added to an application you didn't originally build?+
Yes, in principle — depends on the existing codebase and data access, assessed during scoping.
What happens if the AI feature is wrong?+
A defined confidence threshold and human-review path — the same discipline as our standalone AI agents, adapted to sit inside a broader product.