Stop rebuilding context every session. Ship handoff-ready agent workflows today — with validated protoypes, multi-session memory bridges, and one-click deploys.
Today's AI agents still forget everything between sessions. Teams rebuild prompts, retrain workflows, and lose 2–8 hours every time an agent restarts. Multi-session handoffs are brittle, undocumented, and expensive.
Auto-generated summaries so the next agent starts with the full picture. No more "ChatGPT, who are you again?"
Reusable schemas that persist decisions, approvals, and user preferences across runs, agents, and providers.
Turn documented handoffs into runnable, version-controlled agent configs. One git push and it lives.
Safety layers are not optional. Enable, audit, and iterate without halting the whole pipeline.
Automated checks so handoffs are validated before they hit production. No more "it worked on my machine."
We don't hand you a file and vanish. We document the system, explain the gaps, and train your team.
We map your current agent, its inputs, outputs, and fragile session-state assumptions.
We build a runnable prototype that closes the session gap in under a day.
Deliver approved-for-production config, handoff docs, and an assertion kit you can iterate.
Pay per agent. Add more workflows, keep the same bridge pattern.
One workflow prototyped end-to-end with handoff docs and tests.
£899
Fixed fee. Deliverable in 1–3 working days.
One bridged agent, memory, and runbook in your environment.
£99/mo
Per agent. Includes updates and monitoring.
Documentation walkthrough + team training session.
£249
One-off. Adds continuity without dependencies.
Yes. Handoff bridges are provider-agnostic. We wire it into your preferred stack.
We ship assertion kits. We don't drop it and run. Revisions are scoped and priced up front.
Absolutely. Rational Labs partners and agency clients often resell this as part of retainers.
Most agents are prototyped within 24 hours of the audit call.
We don't touch regulated data by default; we work from approved artifacts and environment variables.
Prototype one agent workflow, ship it, and stop explaining context to new sessions.