Custom AI agents and ready-made apps that connect to your business tools and automate complex workflows.
Before: inbound leads landed in a contact form and waited hours for a manual response. After: an AI agent qualifies every visitor in real time — asks about budget and timeline, creates a CRM record, sends a personalised follow-up, and books a call, all without a human in the loop.
Before: support tickets for order status, returns, and product questions piled up and required manual lookup in WooCommerce. After: an AI agent answers instantly — connected live to orders, product catalog, and FAQ — and escalates only the cases that genuinely need a human.
Before: product descriptions were thin, inconsistent, and written manually — one by one. After: an AI agent generates and improves product descriptions, category copy, SEO metadata, and internal linking suggestions at scale, using live store data as the source.
Before: new leads sat in the CRM until a sales rep found time to follow up — often days later. After: an AI agent monitors incoming leads, drafts personalised follow-up emails, updates deal stages, creates tasks, and alerts the team when a lead shows buying signals.
Before: daily business reviews required manually pulling numbers from GA4, WooCommerce, the CRM, and spreadsheets — a 30-minute task that rarely happened. After: an AI agent delivers a single daily summary with sales figures, lead counts, anomalies, abandoned carts, and recommended actions.
Before: team members spent hours searching through Google Drive, Notion, and email threads for policies, procedures, and past decisions. After: an internal AI assistant answers questions instantly by searching company docs, summarising policies, and drafting support-ready responses.
App · Paid — Before: users spent hours drafting CVs, formatting them, and tailoring each version per vacancy. After: fill a 10-minute intake form, receive a polished, ATS-optimised PDF resume in minutes. The entire pipeline — intake, GPT rewriting, PDF assembly, delivery — runs automatically via n8n.
App · Paid — Before: SMM managers spent 6–8 hours daily writing posts, selecting visuals, and manually publishing across platforms. After: a brief is set once per week; the AI pipeline generates copy, selects or creates images, schedules, and publishes — automatically, across all channels.
App · Paid — Before: users had to type queries and read text responses — slow, inaccessible, and unnatural for mobile. After: speak a question, get an instant spoken answer. Full voice loop: speech recognition → LLM reasoning → voice synthesis, all in under two seconds.
App · Free — Before: gaming news had to be written and published manually — slow, inconsistent, and impossible to scale alongside the marketplace. After: an n8n workflow monitors gaming news sources, rewrites articles with GPT, and publishes to WordPress automatically — zero manual steps.
App · Free — Before: generating images during an AI session meant leaving the conversation, opening a browser, copy-pasting results back. After: Claude and other MCP-compatible agents generate, poll, and save images inline — single prompt to finished file, no context switch.
App · Free — Before: resizing images to exact dimensions inside an agent workflow meant shelling out to a command, managing aspect ratio math manually, and handling padding edge cases by hand. After: one tool call — the agent specifies dimensions and mode, gets a finished file.
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